Navigation

Kontakt

 Prof. Dr. Jürgen Bitzer

Campus Haarentor, Gebäude A5
Raum A5 0-061

 +49-441-798-4217

 +49-441-798-4116

 Im Semester: Dienstags 12:00 -14:00 Uhr, bitte per Email anmelden!
In der vorlesungsfreien Zeit: Nach Vereinbarung

 Sekretariate

 Annegret Kock

Campus Haarentor, Gebäude A5
Raum A5 0-013

 +49-441-798-4117

 +49-441-798-4116
 

 Catharina Schramm

 Campus Haarentor, Gebäude A5
A5 0-014

 +49-441-798-4107

 +49-441-798-194107

 

 

Referierte Zeitschriftenartikel / Refereed Journals

  • E. Goeren, "The Persistent Effects of Novelty-Seeking Traits on Comparative Economic Development," Journal of Development Economics, 2017.
    @Article{,
      author = {Goeren, Erkan},
      title = {The Persistent Effects of Novelty-Seeking Traits on Comparative Economic Development},
      journal = {Journal of Development Economics},
      year = {2017},
      abstract = {The issue of novelty-seeking traits have been related to important economic attitudes such as risk-taking, entrepreneurial, and explorative behaviors that foster technological progress and, thus, economic development. However, numerous molecular genetic studies have shown that novelty-seeking bearing individuals are prone to certain psychological disadvantages such as Attention Deficit Hyperactivity Disorder (ADHD), leading to occupational and educational difficulties in modern societies. Using a recent compilation of DRD4 exon III allele frequencies a particular gene variant that population geneticists have found to be sometimes associated with the human phenotype of novelty-seeking behavior this paper advances a new country-level measure on the prevalence of novelty-seeking traits for a large number of countries worldwide. The results suggest a stable non-monotonic inverted U-shaped relationship between the country-level DRD4 exon III allele frequency measure and economic development. This finding is suggestive of the potential benefits and costs of novelty-seeking traits for the aggregate economy.},
      doi = {http://dx.doi.org/10.1016/j.jdeveco.2016.12.009},
      url = {http://dx.doi.org/10.1016/j.jdeveco.2016.12.009},
      }
  • J. Bitzer, I. Geishecker, und P. J. H. Schroeder, "Is there a wage premium for volunteer OSS engagement? - Signaling, Learning, and Noise," Applied Economics, vol. 49, iss. 14, pp. 1379-1394, 2017.
    @Article{,
      author = {Bitzer, Juergen and Geishecker, Ingo and Schroeder, Philipp J.H.},
      title = {Is there a wage premium for volunteer OSS engagement? - Signaling, Learning, and Noise},
      journal = {Applied Economics},
      year = {2017},
      volume = {49},
      number = {14},
      pages = {1379-1394},
      abstract = {Volunteer-based open-source production has become a significant new model for the organization of software development. Economics often pictures this phenomenon as a case of signalling: individuals engage in the volunteer programming of open-source software (OSS) as a labour-market signal resulting in a wage premium. Yet, this explanation could so far not be empirically tested. This article fills this gap by estimating an upper-bound composite wage premium of voluntary OSS contributions and by separating the potential signalling effect of OSS engagement from other effects. Although some 70% of OSS contributors believe that OSS involvement benefits their careers, we find no actual labour-market premium for OSS engagement. The presence of other motives, such as fun of play or altruism, renders OSS contributions too noisy to function as a signal.},
      keywords = {Signalling, open-source software, voluntary work, peer production, wage formation},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://dx.doi.org/10.1080/00036846.2016.1218427},
      }
  • E. Goeren, "The Biogeographic Origins of Novelty-Seeking Traits," Evolution and Human Behavior, vol. 37, pp. 456-469, 2016.
    @Article{,
      author = {Goeren, Erkan},
      title = {The Biogeographic Origins of Novelty-Seeking Traits},
      journal = {Evolution and Human Behavior},
      year = {2016},
      volume = {37},
      pages = {456-469},
      url = {http://dx.doi.org/10.1016/j.evolhumbehav.2016.04.005},
      }
  • C. Böhringer, A. Keller, M. Bortolamedi, und A. R. Seyffarth, "Good things do not always come in threes: On the excess cost of overlapping regulation in EU climate policy," Energy Policy, vol. 94, pp. 502-508, 2016.
    @Article{B_hringer_2016,
      author = {Christoph B{\"o}hringer and Andreas Keller and Markus Bortolamedi and Anelise Rahmeier Seyffarth},
      title = {Good things do not always come in threes: On the excess cost of overlapping regulation in {EU} climate policy},
      journal = {Energy Policy},
      year = {2016},
      volume = {94},
      pages = {502--508},
      month = {jul},
      doi = {http://dx.doi.org/10.1016/j.enpol.2015.12.034},
      publisher = {Elsevier {BV}},
      url = {http://dx.doi.org/10.1016/j.enpol.2015.12.034},
      }
  • J. Bitzer und E. Goeren, "Measuring Capital Services by Energy Use: An Empirical Comparative Study," Applied Economics, vol. 48, iss. 53, pp. 5152-5167, 2016.
    @Article{,
      author = {Bitzer, Juergen and Goeren, Erkan},
      title = {Measuring Capital Services by Energy Use: An Empirical Comparative Study},
      journal = {Applied Economics},
      year = {2016},
      volume = {48},
      number = {53},
      pages = {5152-5167},
      abstract = {From an engineering perspective, the service that a capital good provides is energy conversion that is, the physical work done by a machine. A capital goods service can thus be measured directly by the energy consumed in production. We show important empirical advantages of this approximation over traditional measures. The empirical application reveals that this approach avoids a number of conceptual problems of the latter. Furthermore, this measure captures the utilization of the capital stock more accurately as it is more sensitive to fluctuations in economic activity. With a growth accounting exercise, it is shown that the differences between the new and the traditional measures are important for empirical work. Using the new measure yields significantly different results. Especially in times of global recession it provides higher and more feasible total factor productivity growth rates.},
      doi = {http://dx.doi.org/10.1080/00036846.2016.1173178},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://dx.doi.org/10.1080/00036846.2016.1173178},
      }
  • A. R. Seyffarth, "The Impact of Rising Ethanol Production on the Brazilian Market for Basic Food Commodities: An Econometric Assessment," Environmental and Resource Economics, vol. 64, iss. 3, pp. 511-536, 2016.
    @Article{Seyffarth2016,
      author = {Seyffarth, Anelise Rahmeier},
      title = {The Impact of Rising Ethanol Production on the Brazilian Market for Basic Food Commodities: An Econometric Assessment},
      journal = {Environmental and Resource Economics},
      year = {2016},
      volume = {64},
      number = {3},
      pages = {511--536},
      abstract = {The controversial debate on the impacts of rising biofuel production on food commodity markets is of great policy relevance in Brazil. This paper contributes to the discussion by applying panel data regression models with fixed effects using OLS. Our dataset comprises annual production/harvested area data for sugar, ethanol and five other staple commodities ranging from 1981 to 2009 for 24 Brazilian states. Our results indicate that rising ethanol production exerts statistically significant positive impacts on sugarcane; negative impacts on rice, beans and soybeans acreage but no statistically significant effect on the areas for corn and manioc. The negative impacts on commodities' acreage have implications for the associated prices. Ceteris paribus, rising ethanol production puts some upward pressure on the prices for rice, beans and soybeans. However, the economic implication of these direct land use effects is attenuated due to the moderate scale of any effect.},
      doi = {10.1007/s10640-015-9881-5},
      issn = {1573-1502},
      url = {http://dx.doi.org/10.1007/s10640-015-9881-5},
      }
  • R. W. Stecking und K. Schebesch, "Classification of credit scoring data with privacy constraints," Intelligent Data Analysis, vol. 19, iss. s1, pp. 3-18, 2015.
    @Article{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus},
      title = {Classification of credit scoring data with privacy constraints},
      journal = {Intelligent Data Analysis},
      year = {2015},
      volume = {19},
      number = {s1},
      pages = {3-18},
      abstract = {Modern data collections create vast opportunities for detecting useful hidden relationships. Also, increasingly, they fuel data privacy concerns. A trade-off between privacy protection and data usefulness is by now widely acknowledged. Real world data classification tasks, as for example credit scoring applications have to deal with such data security limitations by finding a way to effectively incorporate privacy preserving procedures. To this end we propose as a first stage to use a microaggregation procedure in order to anonymize data over personal credit client feature information. In a second stage we examine the performance of support vector machines (SVM) on such anonymized data. SVM are powerful and robust machine learning methods, having superior credit scoring classification performance when applied to original, non-anonymized data. We first partition the original credit scoring data set and construct anonymized data representatives, which are then used for credit client behavior forecasting models constructed by SVM and other comparable learning methods. The validation procedure for such models is adapted to the two-stage modeling approach. In order to assess the loss owing to data anonymization, the different classification models are evaluated against models that are trained on the original data.},
      doi = {10.3233/IDA-150767},
      keywords = {Data privacy, microaggregation, credit scoring, support vector machines},
      url = {http://dx.doi.org/10.3233/IDA-150767},
      }
  • E. Goeren, "How Ethnic Diversity Affects Economic Growth," World Development, vol. 59, pp. 275-297, 2014.
    @Article{,
      author = {Goeren, Erkan},
      title = {How Ethnic Diversity Affects Economic Growth},
      journal = {World Development},
      year = {2014},
      volume = {59},
      pages = {275-297},
      abstract = {This paper investigates the empirical relationship between ethnic diversity, polarization, and economic growth. Ethnicity is assumed to affect economic growth through a number of possible transmission channels that are generally included in cross-country growth regressions. This paper provides an extensive empirical analysis shedding light on the various sources through which ethnic diversity and polarization affects economic growth indirectly. It advances and empirically establishes the hypothesis that ethnic diversity has a strong direct negative impact on economic growth, whereas ethnic polarization has non-negligible indirect economic effects through the specified channel variables.},
      url = {http://dx.doi.org/10.1016/j.worlddev.2014.01.012},
      }
  • J. Bitzer, H. Goerg, und S. P. J.H., "Can trade really hurt? An empirical follow-up on Samuelsons controversial paper," Economic Inquiry, vol. 50, iss. 3, pp. 724-738, 2012.
    @Article{,
      author = {Bitzer, Juergen and Goerg, Holger and Schroeder Philipp J.H.},
      title = {Can trade really hurt? An empirical follow-up on Samuelsons controversial paper},
      journal = {Economic Inquiry},
      year = {2012},
      volume = {50},
      number = {3},
      pages = {724-738},
      month = {07},
      abstract = {This paper investigates Samuelson's [Samuelson, P. A. Where Ricardo and Mill Rebut and Confirm Arguments of Mainstream Economists Supporting Globalization. Journal of Economic Perspectives, 18(3), 2004, 13546] argument that technical progress of the trade partner may hurt the home country. We illustrate this prospect in a simple Ricardian model for situations with outward knowledge spillovers. Within this framework Samuelson's Act II effects may occur. Based on industry level panel data for 17 OECD countries for the period 19732000 we show econometrically that the outflow of domestic knowledge via exports or foreign direct investment (FDI) to the rest of the world may have a negative impact on industry output in the home country. This is particularly so when exporting to technologically less advanced countries and, more specifically, China.},
      doi = {10.1111/j.1465-7295.2010.00331.x},
      jel = {F10, F11, F14, O30},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1465-7295.2010.00331.x/full},
      }
  • J. Bitzer und I. Geishecker, "Who contributes voluntarily to OSS? An investigation among German \IT\ employees," Research Policy, vol. 39, iss. 1, pp. 165-172, 2010.
    @Article{Bitzer2010165,
      author = {Juergen Bitzer and Ingo Geishecker},
      title = {Who contributes voluntarily to OSS? An investigation among German \{IT\} employees},
      journal = {Research Policy},
      year = {2010},
      volume = {39},
      number = {1},
      pages = {165 - 172},
      month = {02},
      abstract = {Based on newly assembled survey data, we analyze which individual characteristics of \{IT\} employees are associated with the willingness to participate voluntarily in Open Source Software (OSS) projects. We find that, contrary to common expectations, formal educational attainment is not positively associated with the probability or level of \{OSS\} contributions. The group of university dropouts, however, does show a particularly high probability of working on such projects. Furthermore, we obtain the striking and novel finding that work-related \{OSS\} activities play an important role in determining voluntary \{OSS\} contributions during leisure time. Although one has to be cautious regarding the direction of causality, we interpret this as evidence of career-oriented motives in voluntary \{OSS\} contributors. The finding is also reinforced by our more specific analysis of the importance of such motives in determining the actual effort invested in \{OSS\} projects.},
      doi = {http://dx.doi.org/10.1016/j.respol.2009.11.007},
      issn = {0048-7333},
      keywords = {Open Source Software, Voluntary contribution, Individual characteristics },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S004873330900211X},
      }
  • J. Bitzer und H. Goerg, "Foreign Direct Investment, Competition and Industry Performance," The World Economy, vol. 32, iss. 2, pp. 221-233, 2009.
    @Article{,
      author = {Bitzer, Juergen and Goerg, Holger},
      title = {Foreign Direct Investment, Competition and Industry Performance},
      journal = {The World Economy},
      year = {2009},
      volume = {32},
      number = {2},
      pages = {221-233},
      month = {02},
      abstract = {This paper investigates the productivity effects of inward and outward foreign direct investment using industry- and country-level data for 17 OECD countries over the period 1973 to 2001. Controlling for national and international knowledge spillovers we argue that the effects of FDI work through direct compositional effects as well as changing competition in the host country. Our results show that there are, on average, productivity benefits from inward FDI, although we can identify a number of countries which, on aggregate, do not appear to benefit in terms of productivity. On the other hand, a country's stock of outward FDI is, on average, negatively related to productivity. However, again there is substantial heterogeneity in the effect across OECD countries.},
      doi = {10.1111/j.1467-9701.2008.01152.x},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9701.2008.01152.x/abstract},
      }
  • J. Bitzer, I. Geishecker, und H. Goerg, "Productivity spillovers through vertical linkages: Evidence from 17 \OECD\ countries," Economics Letters, vol. 99, iss. 2, pp. 328-331, 2008.
    @Article{Bitzer2008328,
      author = {Juergen Bitzer and Ingo Geishecker and Holger Goerg},
      title = {Productivity spillovers through vertical linkages: Evidence from 17 \{OECD\} countries},
      journal = {Economics Letters},
      year = {2008},
      volume = {99},
      number = {2},
      pages = {328 - 331},
      abstract = {We use industry-level data for \{OECD\} countries and investigate the importance of horizontal and vertical spillovers from multinationals. There is evidence for spillovers through backward linkages for all countries. This effect is much higher for \{CEEC\} than other \{OECD\} countries.},
      doi = {http://dx.doi.org/10.1016/j.econlet.2007.07.015},
      issn = {0165-1765},
      keywords = {Foreign direct investment, Productivity, Vertical linkages, Spillovers },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0165176507002844},
      }
  • J. Bitzer und M. Kerekes, "Does foreign direct investment transfer technology across borders? New evidence," Economics Letters, vol. 100, iss. 3, pp. 355-358, 2008.
    @Article{Bitzer2008355,
      author = {Juergen Bitzer and Monika Kerekes},
      title = {Does foreign direct investment transfer technology across borders? New evidence},
      journal = {Economics Letters},
      year = {2008},
      volume = {100},
      number = {3},
      pages = {355 - 358},
      abstract = {Based on industry-level data of seventeen \{OECD\} countries we examine \{FDI\} as a potential channel for knowledge diffusion. We find that FDI-receiving countries benefit strongly from FDI-related knowledge spillovers. We do not find evidence for positive outward-FDI-related technology sourcing effects.},
      doi = {http://dx.doi.org/10.1016/j.econlet.2008.02.029},
      issn = {0165-1765},
      keywords = {Foreign Direct investment, International knowledge spillovers },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0165176508000608},
      }
  • J. Bitzer und J. H. Schroeder Philipp, "Open Source Software, Competition and Innovation," Industry and Innovation, vol. 14, iss. 5, pp. 461-476, 2007.
    @Article{,
      author = {Bitzer, Juergen and Schroeder Philipp, J. H.},
      title = {Open Source Software, Competition and Innovation},
      journal = {Industry and Innovation},
      year = {2007},
      volume = {14},
      number = {5},
      pages = {461-476},
      month = {12},
      abstract = {The entry and success of open source software (OSS), for example, Linux's entry into the operating systems market, has fundamentally changed industry structures in the software business. In this paper we explore the process of OSS innovation and highlight the impact of increased competition and different cost structures on innovative activity in the industry, which has been neglected in the literature thus far. In a simple model, we formalize the innovation impact of OSS entry by examining a change in market structure from monopoly to duopoly under the assumption that software producers compete in technology rather than price or quantities. The model takes into account development costs and total cost of ownership, whereby the latter captures items such as network externalities. The paper identifies a pro-innovative effect of both intra-OSS and extra-OSS competition.},
      doi = {http://dx.doi.org/10.1080/13662710701711315},
      keywords = {Open source software, innovation, strategic interaction},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.tandfonline.com/doi/abs/10.1080/13662710701711315?journalCode=ciai20},
      }
  • J. Bitzer, W. Schrettl, und P. J. H. Schroeder, "Intrinsic motivation in open source software development," Journal of Comparative Economics, vol. 35, iss. 1, pp. 160-169, 2007.
    @Article{Bitzer2007160,
      author = {Juergen Bitzer and Wolfram Schrettl and Philipp J.H. Schroeder},
      title = {Intrinsic motivation in open source software development},
      journal = {Journal of Comparative Economics},
      year = {2007},
      volume = {35},
      number = {1},
      pages = {160 - 169},
      abstract = {This papers sheds light on the puzzling fact that even though open source software (OSS) is a public good, it is developed for free by highly qualified, young, motivated individuals, and evolves at a rapid pace. We show that when \{OSS\} development is understood as the private provision of a public good, these features emerge quite naturally. We adapt a dynamic private-provision-of-public-goods model to reflect key aspects of the \{OSS\} phenomenon, such as play value or homo ludens payoff, user-programmers' and gift culture benefits. Such intrinsic motives feature extensively in the wider \{OSS\} literature and contribute new insights to the economic analysis. Journal of Comparative Economics 35 (1) (2007) 160–169. },
      doi = {http://dx.doi.org/10.1016/j.jce.2006.10.001},
      issn = {0147-5967},
      jel = {L86; H41; L31},
      keywords = {Open source software, Public goods, Homo ludens, War of attrition },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0147596706000643},
      }
  • J. Bitzer und A. Stephan, "A Schumpeter-inspired Approach to the Construction of R\&D Capital Stocks," Applied Economics, vol. 39, iss. 2, pp. 179-189, 2006.
    @Article{Bitzer2006,
      author = {Bitzer, Jrgen and Stephan, Andreas},
      title = {A Schumpeter-inspired Approach to the Construction of R\&D Capital Stocks},
      journal = {Applied Economics},
      year = {2006},
      volume = {39},
      number = {2},
      pages = {179-189},
      abstract = {A new method for constructing R&D capital stocks is proposed and tested. Following Schumpeter, the development of R&D capital stocks is modelled as a process of creative destruction. Newly generated knowledge is assumed not only to add to the existing R&D capital stocks but also, by displacing old knowledge, to destroy part of that capital. This is in stark contrast to the perpetual inventory method, which postulates a constant rate of depreciation. We compare both methods by estimating the impact of R&D and spillovers on output of nine industries in twelve OECD countries, and find that the new approach leads to more sensible and robust results.},
      doi = {http://dx.doi.org/10.1080/00036840500427973},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://nbn-resolving.de/urn:nbn:de:0168-ssoar-243147 },
      }
  • J. Bitzer und I. Geishecker, "What drives trade-related R\&D spillovers? Decomposing knowledge-diffusing trade flows," Economics Letters, vol. 93, iss. 1, pp. 52-57, 2006.
    @Article{Bitzer200652,
      author = {Juergen Bitzer and Ingo Geishecker},
      title = {What drives trade-related R\&D spillovers? Decomposing knowledge-diffusing trade flows},
      journal = {Economics Letters},
      year = {2006},
      volume = {93},
      number = {1},
      pages = {52 - 57},
      abstract = {Our paper decomposes knowledge-diffusing trade flows and estimates their impacts separately. Overall, trade generates positive knowledge spillovers. For intra-industry trade we find that positive spillovers are dominated by negative competition effects, masking positive spillovers of intra-industry trade through international outsourcing.},
      doi = {http://dx.doi.org/10.1016/j.econlet.2006.03.051},
      issn = {0165-1765},
      keywords = {R&, D, Trade, Productivity, Spillovers, Competition },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0165176506001261},
      }
  • R. W. Stecking und K. B. Schebesch, "Support vector machines for credit applicants: detecting typical and critical regions," Journal of the Operational Research Society, vol. 56, iss. 9, pp. 1082-1088, 2005.
    @Article{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Support vector machines for credit applicants: detecting typical and critical regions},
      journal = {Journal of the Operational Research Society},
      year = {2005},
      volume = {56},
      number = {9},
      pages = {1082-1088},
      abstract = {Credit applicants are assigned to good or bad risk classes according to their record of defaulting. Each applicant is described by a high-dimensional input vector of situational characteristics and by an associated class label. A statistical model, which maps the inputs to the labels, can decide whether a new credit applicant should be accepted or rejected, by predicting the class label given the new inputs. Support vector machines (SVM) from statistical learning theory can build such models from the data, requiring extremely weak prior assumptions about the model structure. Furthermore, SVM divide a set of labelled credit applicants into subsets of typical and critical patterns. The correct class label of a typical pattern is usually very easy to predict, even with linear classification methods. Such patterns do not contain much information about the classification boundary. The critical patterns (the support vectors) contain the less trivial training examples. For instance, linear discriminant analysis with prior training subset selection via SVM also leads to improved generalization. Using non-linear SVM, more surprising critical regions may be detected, but owing to the relative sparseness of the data, this potential seems to be limited in credit scoring practice.},
      doi = {10.1057/palgrave.jors.2602023},
      keywords = {support vector machines classification banking finance forecasting heuristic squadratic optimization},
      url = {http://dx.doi.org/10.1057/palgrave.jors.2602023},
      }
  • J. Bitzer, "Measuring Knowledge Stocks: A Process of Creative Destruction," Kyklos, vol. 58, iss. 3, pp. 379-393, 2005.
    @Article{,
      author = {Bitzer, Juergen},
      title = {Measuring Knowledge Stocks: A Process of Creative Destruction},
      journal = {Kyklos},
      year = {2005},
      volume = {58},
      number = {3},
      pages = {379-393},
      month = {07},
      abstract = {This paper proposes a new method for constructing R&D capital stocks developed to avoid the common assumption of a constant rate of knowledge depreciation, which implies wear and tear of knowledge. The method models the development of R&D capital stocks as a process of creative destruction linking the depreciation of knowledge to the emergence of new knowledge. A first empirical assessment of the new method measuring the influence of R&D capital stocks on production in the manufacturing sectors of 12 OECD countries produces plausible and robust results.},
      doi = {10.1111/j.0023-5962.2005.00293.x},
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://onlinelibrary.wiley.com/doi/10.1111/j.0023-5962.2005.00293.x/abstract},
      }
  • J. Bitzer und P. J. H. Schroeder, "Bug-fixing and code-writing: The private provision of open source software," Information Economics and Policy, vol. 17, iss. 3, pp. 389-406, 2005.
    @Article{Bitzer2005389,
      author = {Juergen Bitzer and Philipp J.H. Schroeder},
      title = {Bug-fixing and code-writing: The private provision of open source software},
      journal = {Information Economics and Policy},
      year = {2005},
      volume = {17},
      number = {3},
      pages = {389 - 406},
      month = {07},
      abstract = {Open source software (OSS) is a public good. A self-interested individual would consider providing \{OSS\} if the benefits to be gained from it justify the cost of programming. Nevertheless, each agent is tempted to free-ride and wait for others to develop the software instead. We model this problem as a war of attrition with complete information, job signaling, repeated contribution to the public good and uncertainty in programming. The resulting game does not feature any delay; software will be provided swiftly, by young, low-cost individuals who gain from signaling their programming skills. The startup (and collapse) of an \{OSS\} project displays bandwagon dynamics. },
      doi = {http://dx.doi.org/10.1016/j.infoecopol.2005.01.001},
      issn = {0167-6245},
      jel = {H41; L86; L31},
      keywords = {Open source software, War of attrition, Public goods },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0167624505000181},
      }
  • J. Bitzer, "Commercial versus open source software: the role of product heterogeneity in competition," Economic Systems, vol. 28, iss. 4, pp. 369-381, 2004.
    @Article{Bitzer2004369,
      author = {Juergen Bitzer},
      title = {Commercial versus open source software: the role of product heterogeneity in competition},
      journal = {Economic Systems},
      year = {2004},
      volume = {28},
      number = {4},
      pages = {369 - 381},
      abstract = {The emergence and market success of Linux in recent years has been impressive. The paper investigates the question of why some producers of a proprietary software support the development of open source software (OSS) while others refuse any support. As an analytical framework, a simple Launhardt–Hotelling model is used to show that the emerging price pressure on the former monopolists depends on the extent of the current heterogeneity between \{OSS\} and the proprietary software of the incumbents. The paper argues that the product heterogeneity can explain the differing real-world behavior of commercial software producers. },
      doi = {http://dx.doi.org/10.1016/j.ecosys.2005.01.001},
      issn = {0939-3625},
      keywords = {Open source software, Commercial software, Product heterogeneity, Competition },
      owner = {Catharina Schramm},
      timestamp = {2016.11.02},
      url = {http://www.sciencedirect.com/science/article/pii/S0939362505000026},
      }

Zeitschriftenartikel und Sammelbandbeiträge / Articles in Journals and Collected Volumes

  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Data Privacy in Credit Scoring: Evaluating SVM Approaches Based on Microaggregated Data," in Cladag 2013. 9th Meeting of the Classification and Data Analysis Group. Book of Abstracts, Tommaso Minerva Isabella Morlini, F. P., Ed., CLEUP, 2013, pp. 439-442.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus Bruno},
      title = {Data Privacy in Credit Scoring: Evaluating SVM Approaches Based on Microaggregated Data},
      booktitle = {Cladag 2013. 9th Meeting of the Classification and Data Analysis Group. Book of Abstracts},
      publisher = {CLEUP},
      year = {2013},
      editor = {Tommaso Minerva, Isabella Morlini, Francesco Palumbo},
      pages = {439-442},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "On semi-supervised Support Vector Machines for credit client classification with fictitious training," , Nakov O., B. A. M. Z. P. . . A. . . V. . . L. und Fuentes-Penna, A., Eds., WSEAS Press, 2013, pp. 78-82.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus Bruno},
      title = {On semi-supervised Support Vector Machines for credit client classification with fictitious training},
      publisher = {WSEAS Press},
      year = {2013},
      editor = {Nakov, O., Borovska, P., Antonio, A., Mladenov, V., Zinchenko, L. and Fuentes-Penna, A.},
      pages = {78-82},
      keywords = {Transductive SVM; Machine learning; Credit client classification, Fictitious training data},
      url = {http://www.wseas.us/e-library/conferences/2013/Rhodes/COMPUTE/COMPUTE-11.pdf},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Symbolic Cluster Representations for SVM in Credit Client Classification Tasks," in Statistical Models for Data Analysis, Paolo Giudici Salvatore Ingrassia, M. V., Ed., Springer International Publishing, 2013, pp. 353-360.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Symbolic Cluster Representations for SVM in Credit Client Classification Tasks},
      booktitle = {Statistical Models for Data Analysis},
      publisher = {Springer International Publishing},
      year = {2013},
      editor = {Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi},
      pages = {353-360},
      abstract = {The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ?},
      url = {https://www.springerprofessional.de/statistical-models-for-data-analysis/1988348},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Clustering for Data Privacy and Classification Tasks," in Operations Research Proceedings, Huisman D., L. I. und Wagelmans, A. P. M., Eds., Springer, 2013, pp. 397-403.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Clustering for Data Privacy and Classification Tasks},
      booktitle = {Operations Research Proceedings},
      publisher = {Springer},
      year = {2013},
      editor = {Huisman, D., Louwerse, I. and Wagelmans, A.P.M.},
      pages = {397-403},
      abstract = {Predictive classification is a part of data mining and of many related data-intensive research activities. In applications deriving from business intelligence, potentially valuable data from large databases often cannot be used in an unrestricted way. Privacy constraints may not allow the data modeler to use all of the existing feature variables in building the classification models. In certain situations, pre-processing the original data can lead to intermediate datasets, which hide private or commercially sensitive information but still contain information useful enough for building competitive classification models. To this end, we propose to cooperatively use both unsupervised Clustering and supervised Support Vector Machines. For an instance of real-life credit client scoring, we then evaluate our approach against the case of unrestricted use of all data features.},
      doi = {10.1007/978-3-319-07001-8_54},
      url = {http://link.springer.com/chapter/10.1007/978-3-319-07001-8_54},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Data and Cluster Encoding for Classifiers: Towards Scoring Large Client-Bases," in Business Excellence Challenges During the Economic Crisis, Bratianu C., B. L. P. G. . . D. . . N. und Vaduva, S., Eds., Editura Universitatii Transilvania", 2012, pp. 202-207.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus Bruno},
      title = {Data and Cluster Encoding for Classifiers: Towards Scoring Large Client-Bases},
      booktitle = {Business Excellence Challenges During the Economic Crisis},
      publisher = {Editura Universitatii Transilvania"},
      year = {2012},
      editor = {Bratianu, C., Bratucu, G., Lixandroiu, D., Pop, N. and Vaduva, S.},
      pages = {202-207},
      }
  • [incollection] bibtex
    J. Bitzer, "Good Governance oder Big Business: Spiegelt der Demokratie-Index der Weltbank vor allem geschaeftliche Interessen wider?," in Methodische Grundlagen der empirischen Institutionenoekonomik - Konzeptionelle Fragen und Beispiele, Verein fuer Socialpolitik, 2012, pp. 107-122.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Good Governance oder Big Business: Spiegelt der Demokratie-Index der Weltbank vor allem geschaeftliche Interessen wider?},
      booktitle = {Methodische Grundlagen der empirischen Institutionenoekonomik - Konzeptionelle Fragen und Beispiele},
      publisher = {Verein fuer Socialpolitik},
      year = {2012},
      series = {334},
      pages = {107-122},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Classification of Large Imbalanced Credit Client Data with Cluster Based SVM," in Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Wolfgang A. Gaul Andreas Geyer-Schulz, L. S. J. K., Ed., Springer, 2012, pp. 443-451.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus Bruno},
      title = {Classification of Large Imbalanced Credit Client Data with Cluster Based SVM},
      booktitle = {Challenges at the Interface of Data Analysis, Computer Science, and Optimization},
      publisher = {Springer},
      year = {2012},
      editor = {Wolfgang A. Gaul, Andreas Geyer-Schulz, Lars Schmidt-Thieme, Jonas Kunze},
      pages = {443-451},
      abstract = {Credit client scoring on medium sized data sets can be accomplished by means of Support Vector Machines (SVM), a powerful and robust machine learning method. However, real life credit client data sets are usually huge, containing up to hundred thousands of records, with good credit clients vastly outnumbering the defaulting ones. Such data pose severe computational barriers for SVM and other kernel methods, especially if all pairwise data point similarities are requested. Hence, methods which avoid extensive training on the complete data are in high demand. A possible solution is clustering as preprocessing and classification on the more informative resulting data like cluster centers. Clustering variants which avoid the computation of all pairwise similarities robustly filter useful information from the large imbalanced credit client data set, especially when used in conjunction with a symbolic cluster representation. Subsequently, we construct credit client clusters representing both client classes, which are then used for training a non standard SVM adaptable to our imbalanced class set sizes. We also show that SVM trained on symbolic cluster centers result in classification models, which outperform traditional statistical models as well as SVM trained on all our original data.},
      doi = {10.1007/978-3-642-24466-7_45},
      url = {http://link.springer.com/book/10.1007/978-3-642-24466-7},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Classifying Large Credit Data With Symbolic Cluster Representations: Evaluating SVM Based Approaches," in CLADAG 2011, Cerchiello, P. und Tarantola, C., Eds., Pavia University Press, 2011, p. 4.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Classifying Large Credit Data With Symbolic Cluster Representations: Evaluating SVM Based Approaches},
      booktitle = {CLADAG 2011},
      publisher = {Pavia University Press},
      year = {2011},
      editor = {Cerchiello, P. and Tarantola, C.},
      pages = {4pp.},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Credit Client Classification: Models Using Information from Class Boundaries and from Cluster Representatives," in Credit Scoring and Credit Control XII Conference, The University of Edinburgh, 2011, p. 9.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B},
      title = {Credit Client Classification: Models Using Information from Class Boundaries and from Cluster Representatives},
      booktitle = {Credit Scoring and Credit Control XII Conference},
      publisher = {The University of Edinburgh},
      year = {2011},
      pages = {9 pp.},
      url = {https://www.business-school.ed.ac.uk/crc/conferences/conference-archive?a=46007},
      }
  • [incollection] bibtex
    J. Bitzer, "Wissensspillovereffekte: Ein Ueberblick ueber 50 Jahre empirische Forschung," in Institutionelle Hintergruende und Konsequenzen von Wissen, Schriften des Vereins fuer Socialpolitik, 2010, pp. 201-220.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Wissensspillovereffekte: Ein Ueberblick ueber 50 Jahre empirische Forschung},
      booktitle = {Institutionelle Hintergruende und Konsequenzen von Wissen},
      publisher = {Schriften des Vereins fuer Socialpolitik},
      year = {2010},
      series = {328},
      pages = {201-220},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Clustering Large Credit Client Data Sets for Classification with SVM," in Credit Scoring and Credit Control XI Conference, The University of Edinburgh, 2009, p. 15.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Clustering Large Credit Client Data Sets for Classification with SVM},
      booktitle = {Credit Scoring and Credit Control XI Conference},
      publisher = {The University of Edinburgh},
      year = {2009},
      pages = {15 pp.},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Data Similarity in Classification and Fictitious Training Data Generation," in Operations Research Proceedings, Fleischmann B., B. K. K. H. . . R. und Tuma, A., Eds., Springer, 2009.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Data Similarity in Classification and Fictitious Training Data Generation},
      booktitle = {Operations Research Proceedings},
      publisher = {Springer},
      year = {2009},
      editor = {Fleischmann, B., Borgwardt, K. H., Klein, R. and Tuma, A.},
      abstract = {In this paper we explore the possibility of deriving consensus rankings by solving consensus optimization problems, characterizing consensus rankings as suitable complete order relations minimizing the average Kemeny-Snell distance to the individual rankings. This optimization problem can be expressed as a binary programming (BP) problem which can typically be solved reasonably efficiently. The underlying theory is discussed in Sect. 1. Applications of the proposed method given in Sect. 2 include a comparison to other mathematical programming (MP) approaches using the data set of Tse [9] and establishing a consensus ranking of marketing journals identified by domain experts from a subset of the Harzing journal quality list [2]. In Sect. 3 we discuss computational details and present the results of a benchmark experiment comparing the performance of the commercial solver CPLEX to three open source mixed integer linear programming (MILP) solvers},
      doi = {10.1007/978-3-642-00142-0_64},
      url = {http://dx.doi.org/10.1007/978-3-642-00142-0_64},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Improving Classifier Performance by Using Fictitious Training Data? A Case Study," in Operations Research Proceedings 2007, Kalcsics J. und Nickel, S., Eds., Springer, 2008.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Improving Classifier Performance by Using Fictitious Training Data? A Case Study},
      booktitle = {Operations Research Proceedings 2007},
      publisher = {Springer},
      year = {2008},
      editor = {Kalcsics, J., and Nickel, S.},
      doi = {10.1007/978-3-540-77903-2_14},
      url = {http://dx.doi.org/10.1007/978-3-540-77903-2_14},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets," in Data Analysis, Machine Learning and Applications, Preisach C., B. S. H. . . L. und Decker, R., Eds., Springer, 2008.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Using Multiple SVM Models for Unbalanced Credit Scoring Data Sets},
      booktitle = {Data Analysis, Machine Learning and Applications},
      publisher = {Springer},
      year = {2008},
      editor = {Preisach, C., Burkhardt, H., Schmidt-Thieme, L. and Decker, R.},
      abstract = {Owing to the huge size of the credit markets, even small improvements in classification accuracy might considerably reduce effective misclassification costs experienced by banks. Support vector machines (SVM) are useful classification methods for credit client scoring. However, the urgent need to further boost classification performance as well as the stability of results in applications leads the machine learning community into developing SVM with multiple kernels and many other combined approaches. Using a data set from a German bank, we first examine the effects of combining a large number of base SVM on classification performance and robustness. The base models are trained on different sets of reduced client characteristics and may also use different kernels. Furthermore, using censored outputs of multiple SVM models leads to more reliable predictions in most cases. But there also remains a credit client subset that seems to be unpredictable. We show that in unbalanced data sets, most common in credit scoring, some minor adjustments may overcome this weakness. We then compare our results to the results obtained earlier with more traditional, single SVM credit scoring models.},
      doi = {10.1007/978-3-540-78246-9_61},
      }
  • [incollection] bibtex
    J. Bitzer und P. J. H. Schroeder, "Entwicklung von Open-Source-Software: Kostenrelevante Eigenschaften einer ungewoehnlichen Organisationsform," in Open Source Jahrbuch 2007: Zwischen freier Software und Gesellschaftsmodell, Lehmanns Media Verlag, 2007, pp. 185-194.
    @InCollection{,
      author = {Bitzer, Juergen and Schroeder, Philipp J. H.},
      title = {Entwicklung von Open-Source-Software: Kostenrelevante Eigenschaften einer ungewoehnlichen Organisationsform},
      booktitle = {Open Source Jahrbuch 2007: Zwischen freier Software und Gesellschaftsmodell},
      publisher = {Lehmanns Media Verlag},
      year = {2007},
      pages = {185-194},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Combining Support Vector Machines for Credit Scoring," in Operation Research Proceeding 2006, Waldmann, K. -H. und Stocker, U. M., Eds., Springer, 2007.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Combining Support Vector Machines for Credit Scoring},
      booktitle = {Operation Research Proceeding 2006},
      publisher = {Springer},
      year = {2007},
      editor = {Waldmann, K.-H and Stocker, U.M},
      abstract = {Support vector machines (SVM) from statistical learning theory are powerful classification methods with a wide range of applications including credit scoring. The urgent need to further boost classification performance in many applications leads the machine learning community into developing SVM with multiple kernels and many other combined approaches. Owing to the huge size of the credit market, even small improvements in classification accuracy might considerably reduce effective misclassification costs experienced by banks. Under certain conditions, the combination of different models may reduce or at least stabilize the risk of misclassification. We report on combining several SVM with different kernel functions and variable credit client data sets. We present classification results produced by various combination strategies and we compare them to the results obtained earlier with more traditional single SVM credit scoring models.},
      doi = {10.1007/978-3-540-69995-8_23},
      url = {http://dx.doi.org/10.1007/978-3-540-69995-8_23},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models," in Advances in Data Analysis, Springer, 2007, pp. 179-186.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Selecting SVM Kernels and Input Variable Subsets in Credit Scoring Models},
      booktitle = {Advances in Data Analysis},
      publisher = {Springer},
      year = {2007},
      pages = {179-186},
      abstract = {We explore simultaneous variable subset selection and kernel selection within SVM classification models. First we apply results from SVM classification models with different kernel functions to a fixed subset of credit client variables provided by a German bank. Free variable subset selection for the bank data is discussed next. A simple stochastic search procedure for variable subset selection is also presented.},
      doi = {10.1007/978-3-540-70981-7_21},
      url = {http://dx.doi.org/10.1007/978-3-540-70981-7_21},
      }
  • [incollection] bibtex
    J. Bitzer und P. J. H. Schroeder, "The Impact of Entry and Competition by Open Source Software on Innovation Activity," in The Economics of Open Source Software Development, Elsevier, 2006, pp. 219-246.
    @InCollection{,
      author = {Bitzer, Juergen and Schroeder, Philipp J. H.},
      title = {The Impact of Entry and Competition by Open Source Software on Innovation Activity},
      booktitle = {The Economics of Open Source Software Development},
      publisher = {Elsevier},
      year = {2006},
      pages = {219-246},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Variable Subset Selection for Credit Scoring with Support Vector Machines," in Operations Research Proceedings 2005, Springer, 2006, pp. 251-256.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Variable Subset Selection for Credit Scoring with Support Vector Machines},
      booktitle = {Operations Research Proceedings 2005},
      publisher = {Springer},
      year = {2006},
      pages = {251-256},
      abstract = {Support Vector Machines (SVM) are very successful kernel based classification methods with a broad range of applications including credit scoring and rating. SVM can use data sets with many variables even when the number of cases is small. However, we are often constrained to reduce the input space owing to changing data availability, cost and speed of computation. We first evaluate variable subsets in the context of credit scoring. Then we apply previous results of using SVM with different kernel functions to a specific subset of credit client variables. Finally, rating of the credit data pool is presented.},
      doi = {10.1007/3-540-32539-5_40},
      url = {http://dx.doi.org/10.1007/3-540-32539-5_40},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Comparing and Selecting SVM-Kernels for Credit Scoring," in From Data and Information Analysis to Knowledge Engineering, Spiliopoulou M., K. B. N. R. . . C. . . A. und Gaul, W., Eds., Springer, 2006, pp. 542-549.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Comparing and Selecting SVM-Kernels for Credit Scoring},
      booktitle = {From Data and Information Analysis to Knowledge Engineering},
      publisher = {Springer},
      year = {2006},
      editor = {Spiliopoulou, M., Kruse, R., Borgelt, C., Nrnberger, A. and Gaul, W.},
      pages = {542-549},
      abstract = {Kernel methods for classification problems map data points into feature spaces where linear separation is performed. Detecting linear relations has been the focus of much research in statistics and machine learning, resulting in efficient algorithms that are well understood, with many applications including credit scoring problems. However, the choice of more appropriate kernel functions using nonlinear feature mapping may still improve this classification performance. We show, how different kernel functions contribute to the solution of a credit scoring problem and we also show how to select and compare such kernels.},
      doi = {10.1007/3-540-31314-1_66},
      url = {http://dx.doi.org/10.1007/3-540-31314-1_66},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    J. Bitzer und P. J. H. Schroeder, "The Economics of Open source Software Development: An Introduction," in The Economics of Open Source Software Development, Bitzer, J. und Schroeder, P. J. H., Eds., Amsterdam: Elsevier, 2006, pp. 1-13.
    @InCollection{Bitzer20061,
      author = {Juergen Bitzer and Philipp J.H. Schroeder},
      title = {The Economics of Open source Software Development: An Introduction},
      booktitle = {The Economics of Open Source Software Development},
      publisher = {Elsevier},
      year = {2006},
      editor = {Bitzer, Juergen and Schroeder, Philipp J.H.},
      pages = {1-13},
      address = {Amsterdam},
      abstract = {Publisher Summary This chapter introduces the fundamentals of Open Source Software (OSS), its nature, the central economic aspects and the key mechanisms of its development. It captures the most important lines of research dealing with the economics of \{OSS\} and its development. Research on these issues has made substantial progress in recent years, both in identifying particularities and in offering explanations for them. \{OSS\} is mainly programmed by volunteers who engage in such projects free of charge. The perplexing particularities such as volunteer programmers, free availability and the emergence of OSS-based for-profit firms create the backdrop for examining central research questions on the \{OSS\} phenomenon.. It discusses a primer on \{OSS\} and the surrounding development process including a sketch of how OSS-related activities actually generate revenues. The chapter addresses issues such as the motivation of for-profit firms in their participation in OSS, their relation to \{OSS\} communities, nature of sustainable OSS-based business models, and the innovation performance of OSS, addressing issues such as the innovation incentives for further developing an operating system or software applications for an operating system, and the impact of \{OSS\} competition on the willingness to innovate in software industries featuring highly concentrated market structures.},
      doi = {http://dx.doi.org/10.1016/B978-044452769-1/50001-9},
      isbn = {978-0-444-52769-1},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      url = {http://www.sciencedirect.com/science/article/pii/B9780444527691500019},
      }
  • [incollection] bibtex
    R. W. Stecking und K. Schebesch, "Using Support Vector Machines in Credit Scoring to select informative patterns and to extract rules from credit data pools," in Information \& Knowledge Age. The Proceedings of the Seventh International Conference on Informatics in Economy, Inforec, Bucharest, 2005, pp. 532-537.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus},
      title = {Using Support Vector Machines in Credit Scoring to select informative patterns and to extract rules from credit data pools},
      booktitle = {Information \& Knowledge Age. The Proceedings of the Seventh International Conference on Informatics in Economy},
      publisher = {Inforec, Bucharest},
      year = {2005},
      pages = {532-537},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Support Vector Machines: Advanced Method for Credit Scoring," in Dimensionen angewandter Wirtschaftsforschung: Methoden, Regionen, Sektoren, Ehrig, D. und Staroske, U., Eds., Verlag Dr. Kovac, 2005, pp. 59-85.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Support Vector Machines: Advanced Method for Credit Scoring},
      booktitle = {Dimensionen angewandter Wirtschaftsforschung: Methoden, Regionen, Sektoren},
      publisher = {Verlag Dr. Kovac},
      year = {2005},
      editor = {Ehrig, D. and Staroske, U.},
      pages = {59-85},
      url = {http://www.verlagdrkovac.de/978-3-8300-1621-2.htm},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Informative Patterns for Credit Scoring Using Linear SVM," in Classification the Ubiquitous Challenge, Weihs, C. und Gaul, W., Eds., Springer, 2005, pp. 450-457.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Informative Patterns for Credit Scoring Using Linear SVM},
      booktitle = {Classification the Ubiquitous Challenge},
      publisher = {Springer},
      year = {2005},
      editor = {Weihs, C. and Gaul, W.},
      pages = {450-457},
      doi = {10.1007/3-540-28084-7_52},
      url = {http://dx.doi.org/10.1007/3-540-28084-7_52},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. Schebesch, "Extracting Rules from Support Vector Machines," in Operations Research Proceedings 2004, den Fleuren H., H. D. und Kort, P., Eds., Springer, 2005, pp. 408-415.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus},
      title = {Extracting Rules from Support Vector Machines},
      booktitle = {Operations Research Proceedings 2004},
      publisher = {Springer},
      year = {2005},
      editor = {Fleuren, H., den Hertog, D. and Kort, P.},
      pages = {408-415},
      doi = {10.1007/3-540-27679-3},
      url = {http://dx.doi.org/10.1007/3-540-27679-3},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Support Vector Machines for Credit Scoring: Extension to Non Standard Cases," in Innovations in Classification, Data Science, and Information Systems, Baier, D. und Wernecke, K. -D., Eds., Springer, 2005, pp. 498-505.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Support Vector Machines for Credit Scoring: Extension to Non Standard Cases},
      booktitle = {Innovations in Classification, Data Science, and Information Systems},
      publisher = {Springer},
      year = {2005},
      editor = {Baier, D. and Wernecke, K.-D.},
      pages = {498-505},
      abstract = {Credit scoring is being used in order to assign credit applicants to good and bad risk classes. This paper investigates the credit scoring performance of support vector machines (SVM) with weighted classes and moderated outputs. First, we consider the adjustment of support vector machines for credit scoring to a set of non standard situations important to practitioners. Such more sophisticated credit scoring systems will adapt to vastly different proportions of credit worthiness between sample and population. Different costs for different types of misclassification will also be handled. Second, sigmoid output mapping is used to derive default probabilities, important for constructing rating systems and a step towards more personalized credit contracts.},
      doi = {10.1007/3-540-26981-9_57},
      url = {http://dx.doi.org/ 10.1007/3-540-26981-9_57},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Data - oriented Artificial Intelligence I+II," in Master of International Business Informatics Handbook, Editura ASE, Bucharest, 2003, pp. 257-264.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Data - oriented Artificial Intelligence I+II},
      booktitle = {Master of International Business Informatics Handbook},
      publisher = {Editura ASE, Bucharest},
      year = {2003},
      pages = {257-264},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Support Vector Machines with Applications to Credit Scoring," in Digital Economy. The Proceedings of the Sixth International Conference on Informatics in Economy, Inforec, Bucharest, 2003, pp. 849-855.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Support Vector Machines with Applications to Credit Scoring},
      booktitle = {Digital Economy. The Proceedings of the Sixth International Conference on Informatics in Economy},
      publisher = {Inforec, Bucharest},
      year = {2003},
      pages = {849-855},
      }
  • [incollection] bibtex
    R. W. Stecking und K. B. Schebesch, "Credit Scoring im Baukreditwesen," in Kredit und Risiko: Basel II und die Konsequenzen fr Banken und Mittelstand, Schaefer, H., Ed., Metropolis Verlag, Marburg, 2003, pp. 45-56.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Credit Scoring im Baukreditwesen},
      booktitle = {Kredit und Risiko: Basel II und die Konsequenzen fr Banken und Mittelstand},
      publisher = {Metropolis Verlag, Marburg},
      year = {2003},
      editor = {Schaefer, H.},
      pages = {45-56},
      }
  • [incollection] bibtex | Dokument aufrufen Dokument aufrufen
    R. W. Stecking und K. B. Schebesch, "Support Vector Machines for Credit Scoring: Comparing to and Combining with some Traditional Classification Methods," in Between Data Science and Applied Data Analysis, Schader M. Gaul W., V. M., Ed., Springer, 2003, pp. 604-612.
    @InCollection{,
      author = {Stecking, Ralf Werner and Schebesch, Klaus B.},
      title = {Support Vector Machines for Credit Scoring: Comparing to and Combining with some Traditional Classification Methods},
      booktitle = {Between Data Science and Applied Data Analysis},
      publisher = {Springer},
      year = {2003},
      editor = {Schader M., Gaul W., Vichi M.},
      pages = {604-612},
      abstract = {Credit scoring is being used in order to assign credit applicants to good and bad risk classes. This paper investigates the credit scoring performance of a nonstandard neural network technique: support vector machines (SVM). Using empirical data, the results of the SVM are compared with more traditional methods including linear discriminant analysis and logistic regression. Furthermore, a two-step approach is being tested: first SVM selects the most informative cases, and subsequently, these are used as inputs to linear discriminant analysis and logistic regression. Extensive experiments show that SVM outperforms the more traditional, computationally less demanding methods.},
      doi = {10.1007/978-3-642-18991-3_69},
      url = {http://dx.doi.org/10.1007/978-3-642-18991-3_69},
      }
  • [incollection] bibtex
    J. Bitzer, "An Evolutionary View of Post-Socialist Restructuring: From Science and Technology Systems to Innovation systems," in The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness, Edward Elgar, 2000, pp. 13-35.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {An Evolutionary View of Post-Socialist Restructuring: From Science and Technology Systems to Innovation systems},
      booktitle = {The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness},
      publisher = {Edward Elgar},
      year = {2000},
      pages = {13-35},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer, "Software: New Industries and New Enterprises in Eastern Europe," in The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness, Edward Elgar, 2000, pp. 227-256.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Software: New Industries and New Enterprises in Eastern Europe},
      booktitle = {The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness},
      publisher = {Edward Elgar},
      year = {2000},
      pages = {227-256},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer, "The Eastern European Computer Industry: National Champions mit a Screwdriver," in The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness, Edward Elgar, 2000, pp. 257-281.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {The Eastern European Computer Industry: National Champions mit a Screwdriver},
      booktitle = {The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness},
      publisher = {Edward Elgar},
      year = {2000},
      pages = {257-281},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer, "The Eastern European Shipbuildings Cruise Towards World Markets," in The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness, Edward Elgar, 2000, pp. 129-160.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {The Eastern European Shipbuildings Cruise Towards World Markets},
      booktitle = {The Globalization of Industry and Innovation in Eastern Europe From Post-Socialist Restructuring to International Competitiveness},
      publisher = {Edward Elgar},
      year = {2000},
      pages = {129-160},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer, "Reform of Innovation Systems in Eastern Europe: Structural Change Sluggish," in Economic Bulletin, DIW, 2000, vol. 37, pp. 183-190.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Reform of Innovation Systems in Eastern Europe: Structural Change Sluggish},
      booktitle = {Economic Bulletin},
      publisher = {DIW},
      year = {2000},
      volume = {37},
      series = {6},
      pages = {183-190},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer und F. Stille, "Beschaeftigungswirkungen von Innovationen: Analysen zu einem komplizierten Verhaeltnis," in Beschaeftigung durch Innovation, Rainer Hampp Verlag, Muenchen und Mehring, 1998, pp. 15-58.
    @InCollection{,
      author = {Bitzer, Juergen and Stille, Frank},
      title = {Beschaeftigungswirkungen von Innovationen: Analysen zu einem komplizierten Verhaeltnis},
      booktitle = {Beschaeftigung durch Innovation},
      publisher = {Rainer Hampp Verlag, Muenchen und Mehring},
      year = {1998},
      pages = {15-58},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }
  • [incollection] bibtex
    J. Bitzer und C. von Hirschhausen, "Science and Technology Policy in Eastern Europe a Demand-Oriented Approach," in DIW Quarterly Journal of Economic Research, DIW, 1998, pp. 139-148.
    @InCollection{,
      author = {Bitzer, Juergen and von Hirschhausen, Christian},
      title = {Science and Technology Policy in Eastern Europe a Demand-Oriented Approach},
      booktitle = {DIW Quarterly Journal of Economic Research},
      publisher = {DIW},
      year = {1998},
      number = {2},
      pages = {139-148},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }
  • [incollection] bibtex
    J. Bitzer, "Demand-oriented S\&T Policies as Alternative Strategy for Post-Socialist Countries - An Industrial Economic Analysis," in Transforming Science and Technology Systems the Endless Transition?, NATO Science Series, Series 4: Science and Technology Policy, 1998, vol. 23, pp. 266-274.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Demand-oriented S\&T Policies as Alternative Strategy for Post-Socialist Countries - An Industrial Economic Analysis},
      booktitle = {Transforming Science and Technology Systems the Endless Transition?},
      publisher = {NATO Science Series, Series 4: Science and Technology Policy},
      year = {1998},
      volume = {23},
      pages = {266-274},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }
  • [incollection] bibtex
    J. Bitzer, "Entwicklung und Problemstand von Forschung und Entwicklung in den MOE-Staaten in den neunziger Jahren," in IWVWW-Berichte, Forschungsinstitut der Internationalen Wissenschaftlichen Vereinigung Weltwirtschaft und Weltpolitik (IWVWW), 1998, vol. 69, pp. 16-21.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Entwicklung und Problemstand von Forschung und Entwicklung in den MOE-Staaten in den neunziger Jahren},
      booktitle = {IWVWW-Berichte},
      publisher = {Forschungsinstitut der Internationalen Wissenschaftlichen Vereinigung Weltwirtschaft und Weltpolitik (IWVWW)},
      year = {1998},
      volume = {69},
      pages = {16-21},
      month = {04},
      owner = {Catharina Schramm},
      timestamp = {2016.11.03},
      }

Monographien / Monographs

  • [incollection] bibtex
    R. W. Stecking, "Support Vector Machines for Credit Scoring." , 2008.
    @InCollection{,
      author = {Stecking, Ralf Werner},
      title = {Support Vector Machines for Credit Scoring},
      year = {2008},
      }
  • [incollection] bibtex
    J. Bitzer, "Technologische Spillover-Effekte als Determinanten des Wirtschaftswachstums: Theoretische Erkenntnisse und empirische Evidenz," in Volkswirtschaftliche Schriften Nr. 532, Duncker and Humblot, Berlin, 2003.
    @InCollection{,
      author = {Bitzer, Juergen},
      title = {Technologische Spillover-Effekte als Determinanten des Wirtschaftswachstums: Theoretische Erkenntnisse und empirische Evidenz},
      booktitle = {Volkswirtschaftliche Schriften Nr. 532},
      publisher = {Duncker and Humblot, Berlin},
      year = {2003},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }
  • [incollection] bibtex
    R. W. Stecking, "Marktsegmentierung mit Neuronalen Netzen." DUV, 2000.
    @InCollection{,
      author = {Stecking, Ralf Werner},
      title = {Marktsegmentierung mit Neuronalen Netzen},
      publisher = {DUV},
      year = {2000},
      }

Editierte Bücher / Edited Books

  • [incollection] bibtex
    J. Bitzer und P. J. H. Schroeder, "The Economics of Open Source Software Development." Elsevier, Amsterdam, 2006.
    @InCollection{,
      author = {Bitzer, Juergen and Schroeder, Philipp J.H.},
      title = {The Economics of Open Source Software Development},
      publisher = {Elsevier, Amsterdam},
      year = {2006},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }
  • [incollection] bibtex
    J. Bitzer und C. von Hirschhausen, "The Globalization of Industry and Innovation in Eastern Europe - From Post-Socialist Restructuring to International Competitiveness." Edward Elgar, 2000.
    @InCollection{,
      author = {Bitzer, Juergen and von Hirschhausen, Christian},
      title = {The Globalization of Industry and Innovation in Eastern Europe - From Post-Socialist Restructuring to International Competitiveness},
      publisher = {Edward Elgar},
      year = {2000},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }

Buchbesprechnungen / Book reviews

  • [incollection] bibtex
    J. Bitzer, ," in Living Standards and the Wealth of Nations: Successes and Failures in Real Convergence, , 2008, vol. 93, pp. 105-107.
    @InCollection{,
      author = {Bitzer, Juergen},
      booktitle = {Living Standards and the Wealth of Nations: Successes and Failures in Real Convergence},
      year = {2008},
      volume = {93},
      pages = {105-107},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }
  • [incollection] bibtex
    J. Bitzer, ," in Das Zustandekommen von Technologie-Spillovers durch auslaendische Direktinvestitionen - Eine empirische Untersuchung am Beispiel der ungarischen Industrie, Economic Systems, 2004, vol. 28, pp. 329-332.
    @InCollection{,
      author = {Bitzer, Juergen},
      booktitle = {Das Zustandekommen von Technologie-Spillovers durch auslaendische Direktinvestitionen - Eine empirische Untersuchung am Beispiel der ungarischen Industrie},
      publisher = {Economic Systems},
      year = {2004},
      volume = {28},
      pages = {329-332},
      owner = {Catharina Schramm},
      timestamp = {2016.11.07},
      }

Diskussionspapiere / Discussion Papers

  • C. Dannemann Bernhard, "Peer Effects in Secondary Education: Evidence from the 2015 Trends in Mathematics and Science Study Based on Homophily," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-428-19., Working Papers V-428-20, 2020.
    @TechReport{V-428-20,
      author = {Dannemann, Bernhard, C.},
      title = {Peer Effects in Secondary Education: Evidence from the 2015 Trends in Mathematics and Science Study Based on Homophily},
      institution = {University of Oldenburg, Department of Economics},
      year = {2020},
      type = {Working Papers},
      number = {V-428-20},
      address = {http://www.vwl.uni-oldenburg.de/download/V-428-19.},
      month = feb, abstract = {In the research on peer effects, unweighted mean classroom performance is the predominant measure used in the estimation of education production functions. In this paper, based on the sociological concept of homophily, I introduce social network matrices that correspond to a weighting scheme for peers in the same class at school. Using spatial regression techniques, I confirm the presence of peer effects for the eighth grade population in the USA in the TIMSS 2015 student assessment. For students, the likelihood of cooperation increases conditionally on visible and non-visible characteristics, such as age, gender, migratory background, and attitudes towards scholastic achievement. This grouping behavior is found to affect the spillover effects of student variables, such as gender and language skills. The main findings are robust to various definitions of the social network matrix, as well as to the inclusion of teacher fixed effects.},
      keywords = {Human Capital, Cognitive Skills, Peer Effects, Spatial Model, Class Heterogeneity, Education Production Function},
      url = {http://www.vwl.uni-oldenburg.de/download/V-428-19.},
      }
  • P. Biermann, J. Bitzer, und E. Goeren, "The Relationship between Age and Subjective Well-Being: Estimating Within and Between Effects Simultaneously," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-421-19.pdf, Working Papers V-421-19, 2019.
    @TechReport{V-421-19,
      author = {Biermann, Philipp and Bitzer, Juergen and Goeren, Erkan},
      title = {The Relationship between Age and Subjective Well-Being: Estimating Within and Between Effects Simultaneously},
      institution = {University of Oldenburg, Department of Economics},
      year = {2019},
      type = {Working Papers},
      number = {V-421-19},
      address = {http://www.vwl.uni-oldenburg.de/download/V-421-19.pdf},
      month = mar, abstract = {Based on data from the German Socio-Economic Panel (SOEP), we used a correlated random effects econometric framework to simultaneously estimate the within and between effects of age on subjective well-being. The proposed approach overcomes the ambiguity in the relationship between age and subjective well-being reported in a series of studies based on cross-sectional and/or longitudinal panel data. Our results suggest that a cubic-type functional relationship between well-being and age fits the data best, leading to highly significant coefficient estimates associated with the age variables, and consistent within and between effects of age on subjective well-being. A linear or quadratic functional relationship between well-being and age is not empirically supported, as the between and within estimates of age on well-being differ significantly from each other. The main findings are robust to the inclusion of a broad range of individual-level sociological, demographic, and economic controls, and to the inclusion of various interviewer controls such as survey experience, survey type, and interviewer fixed effects.},
      keywords = {Subjective Well-Being, Life Cycle Happiness, Cohort Effects, Mundlak Approach, Correlated Random Effects, Fixed Effects, Between- and Within-Person Effects},
      url = {http://www.vwl.uni-oldenburg.de/download/V-421-19.pdf},
      }
  • E. Asane-Otoo und B. Dannemann, "Rockets and Feathers Revisited: Asymmetric Retail Fuel Pricing in the Era of Market Transparency," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-426-19.pdf, Working Papers V-426-19, 2019.
    @TechReport{V-426-19,
      author = {Asane-Otoo, Emmanuel and Dannemann, Bernhard},
      title = {Rockets and Feathers Revisited: Asymmetric Retail Fuel Pricing in the Era of Market Transparency},
      institution = {University of Oldenburg, Department of Economics},
      year = {2019},
      type = {Working Papers},
      number = {V-426-19},
      address = {http://www.vwl.uni-oldenburg.de/download/V-426-19.pdf},
      month = oct, abstract = {In this paper, we revisit the empirical observation that prices rise like rockets when input costs increase but fall like feathers when input costs decrease. The analysis draws on a novel dataset that include daily retail prices of gasoline and diesel from virtually all fuel stations in Germany over the period from January 1, 2014 to December 31, 2018. Our findings from the national, state-specific and station-level analyses based on an asymmetric error correction model indicate that asymmetric pricing is the norm rather than exception. Specifically, we find empirical evidence that points to a pervasive rockets-and-feathers pattern. We also find that asymmetric pricing in the German retail fuel market might partly be the consequence of tacit collusion among competitors as well as disparate search intensity on the part of consumers. We further show that temporal aggregation of station-level price data might lead to inaccurate inferences and could account for the contradictory findings in the extant literature.},
      keywords = {Asymmetric Pricing, Market Transparancy, Search Intensity, Tacit Collusion},
      url = {http://www.vwl.uni-oldenburg.de/download/V-425-19.pdf},
      }
  • J. Bitzer und E. Goeren, "Foreign Aid and Subnational Development: A Grid Cell Analysis," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-407-18.pdf, Working Papers , 2018.
    @TechReport{V-407-18,
      author = {Bitzer, Juergen and Goeren, Erkan},
      title = {Foreign Aid and Subnational Development: A Grid Cell Analysis},
      institution = {University of Oldenburg, Department of Economics},
      year = {2018},
      type = {Working Papers},
      address = {http://www.vwl.uni-oldenburg.de/download/V-407-18.pdf},
      month = {03},
      abstract = {We examine the impact of geo-referenced World Bank development programs on subnational development using equally sized grid cells with a spatial resolution of 0.5 decimal degrees latitude x longitude as the unit of investigation. The proposed grid cell approach solves a number of endogeneity problems discussed in the aid effectiveness literature that make it diffcult to identify the true effect of foreign aid on development outcomes due to the presence of unobserved heterogeneity, lack of key country-level controls, aggregation bias, simultaneity and/or the presence of reverse causality in the association between foreign aid and economic growth, measurement errors, and endogenous sample selection bias. The estimates reveal that World Bank foreign aid projects contribute signifcantly to grid cell economic activity measured by night-time lights growth. This finding is robust to the presence of unobserved country-year and grid-cell-specific unobserved heterogeneity, and to the inclusion of a full set of grid-cell-specifc socioeconomic, demographic, con ict-related, biogeographic, and climatic controls. Additional sensitivity tests confirm the robustness of the main findings to various econometric estimators, alternative model specifications, and different spatial aggregation levels.},
      keywords = {Aid Effectiveness, Geo-Referenced Aid Projects, Economic Development, Economic Growth, Grid-Cell Analysis, GIS Data, Satellite Night-Time Light Data},
      url = {https://www.uni-oldenburg.de/fileadmin/user_upload/wire/fachgebiete/vwl/V-407-18.pdf},
      }
  • J. Bitzer, E. Goeren, und S. Hiller, "Absorption of Foreign Knowledge: Firms Benefits of Employing Immigrants," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-386-15.pdf, Working Papers V-386-15, 2015.
    @TechReport{V-386-15,
      author = {Bitzer, Juergen and Goeren, Erkan and Hiller, Sanne},
      title = {Absorption of Foreign Knowledge: Firms Benefits of Employing Immigrants},
      institution = {University of Oldenburg, Department of Economics},
      year = {2015},
      type = {Working Papers},
      number = {V-386-15},
      address = {http://www.vwl.uni-oldenburg.de/download/V-386-15.pdf},
      month = {10},
      abstract = {This paper explores the question of how immigrant employees affect a firms capacity to absorb foreign knowledge. Using matched employer-employee data from Denmark for the years 1996 to 2009, we are able to show that non-Danish employees from technologically advanced countries contribute significantly to a firms total factor productivity (TFP) through their ability to access foreign knowledge. The empirical results suggest that the impact increases if the immigrants come from technologically advanced countries, are highly educated, and work in high-skilled positions.},
      jel = {D20, J82, L20, O30},
      keywords = {R&D Spillovers, Absorptive Capacity, Firm-Level Analysis, Foreign Workers, Immigrants},
      owner = {Catharina Schramm},
      pages = {38},
      timestamp = {2015.11.02},
      url = {https://www.uni-oldenburg.de/fileadmin/user_upload/wire/fachgebiete/vwl/V-386-15.pdf},
      }
  • J. Bitzer und E. Goeren, "Measuring Capital Services by Energy Use: An Empirical Comparative Study," University of Oldenburg, Department of Economics, http://www.vwl.uni-oldenburg.de/download/V-351-13.pdf, Working Papers V-351-13, 2013.
    @TechReport{V-351-13,
      author = {Bitzer, Jrgen and Goeren, Erkan},
      title = {Measuring Capital Services by Energy Use: An Empirical Comparative Study},
      institution = {University of Oldenburg, Department of Economics},
      year = {2013},
      type = {Working Papers},
      number = {V-351-13},
      address = {http://www.vwl.uni-oldenburg.de/download/V-351-13.pdf},
      month = {04},
      abstract = {From an engineering perspective, a capital goods service is energy conversion e.g., the physical work done by a machine and can thus be measured directly by the energy consumed in production. We show important empirical advantages of our concept over traditional measures. The empirical application reveals that our concept avoids a number of conceptual problems of the latter. Furthermore, our measure is more sensitive to fluctuations in economic activity and therefore captures the utilization of the capital stock better. In a growth accounting exercise, this results in higher TFP growth rates, especially in times of global recession.},
      jel = {E22; D24; O47},
      keywords = {capital service, utilization, energy consumption, total factor productivity, growth accounting},
      owner = {Catharina Mller},
      pages = {33},
      timestamp = {2013.04.08},
      url = {https://www.uni-oldenburg.de/fileadmin/user_upload/wire/fachgebiete/vwl/V-351-13.pdf},
      }
  • J. Bitzer, I. Geishecker, und P. J. H. Schroeder, "Returns to Open Source Software Engagement: An Empirical Test of the Signaling Hypothesis," University of Oldenburg, Department of Economics, Working Papers V-321-10, 2010.
    @TechReport{V-321-10,
      author = {Bitzer, Juergen and Geishecker, Ingo and Schroeder, Philipp J. H.},
      title = {Returns to Open Source Software Engagement: An Empirical Test of the Signaling Hypothesis},
      institution = {University of Oldenburg, Department of Economics},
      year = {2010},
      type = {Working Papers},
      number = {V-321-10},
      month = {01},
      owner = {Catharina Mller},
      timestamp = {2012.06.12},
      url = {https://www.uni-oldenburg.de/fileadmin/user_upload/wire/fachgebiete/vwl/Bitzer012010.pdf},
      }
  • J. Bitzer, H. Goerg, und P. J. H. Schroeder, "Can trade really hurt? An empirical follow-up on Samuelsons controversial paper," Kiel Institute for the World Economy, Kiel Institute for the World Economy, Duesternbrooker Weg 120, 24105 Kiel, Germany, Working Papers , 2008.
    @TechReport{,
      author = {Bitzer, Juergen and Goerg, Holger and Schroeder, Philipp J.H.},
      title = {Can trade really hurt? An empirical follow-up on Samuelsons controversial paper},
      institution = {Kiel Institute for the World Economy},
      year = {2008},
      type = {Working Papers},
      address = {Kiel Institute for the World Economy, Duesternbrooker Weg 120, 24105 Kiel, Germany},
      jel = {F10, F11, F14, O30},
      keywords = {international R&D spillovers, outward foreign direct investment, export driven spillovers},
      owner = {Catharina Schramm},
      pages = {35},
      timestamp = {2016.11.07},
      url = {https://www.ifw-members.ifw-kiel.de/publications/can-trade-really-hurt-an-empirical-follow-up-on-samuelson-s-controversial-paper-1/KWP_1451_Can_Trade_Really_Hurt.pdf},
      }
  • J. Bitzer und I. Geishecker, "What Drives Trade-related R and D Spillovers? Decomposing Knowledge-Diffusing Trade Flows," Freie Universitaet Berlin, Working Papers , 2005.
    @TechReport{,
      author = {Bitzer, Juergen and Geishecker, Ingo},
      title = {What Drives Trade-related R and D Spillovers? Decomposing Knowledge-Diffusing Trade Flows},
      institution = {Freie Universitaet Berlin},
      year = {2005},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.wiwiss.fu-berlin.de/bibliothek/diskussionsbeitraege/diskussionsbeitraege-wiwiss/files-diskussionsbeitraege-wiwiss/discpaper26_05.pdf},
      }
  • J. Bitzer und H. Goerg, "The impact of FDI on industry performance," University of Nottingham, Working Papers , 2005.
    @TechReport{,
      author = {Bitzer, Juergen and Goerg, Holger},
      title = {The impact of FDI on industry performance},
      institution = {University of Nottingham},
      year = {2005},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.etsg.org/ETSG2005/papers/gorg.pdf},
      }
  • J. Bitzer und M. Kerekes, "Does Foreign Direct Investment Transfer Technology Across Borders? A Reexamination," Freie Universitaet Berlin, Working Papers , 2005.
    @TechReport{,
      author = {Bitzer, Juergen and Kerekes, Monika},
      title = {Does Foreign Direct Investment Transfer Technology Across Borders? A Reexamination},
      institution = {Freie Universitaet Berlin},
      year = {2005},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.etsg.org/ETSG2005/papers/bitzer.pdf},
      }
  • J. Bitzer und P. J. H. Schroeder, "The Impact of Entry and Competition by Open Source Software on Innovation Activity," Aarhus School of Business, Working Papers , 2005.
    @TechReport{,
      author = {Bitzer, Juergen and Schroeder, Philipp J. H.},
      title = {The Impact of Entry and Competition by Open Source Software on Innovation Activity},
      institution = {Aarhus School of Business},
      year = {2005},
      type = {Working Papers},
      doi = {10.1016/B978-044452769-1/50011-1},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.sciencedirect.com/science/article/pii/B9780444527691500111},
      }
  • J. Bitzer, W. Schrettl, und P. J. H. Schroeder, "Intrinsic Motivation in Open Source Software Development," Freie Universitaet Berlin, Working Papers , 2004.
    @TechReport{,
      author = {Bitzer, Juergen and Schrettl, Wolfram and Schroeder, Philipp J. H.},
      title = {Intrinsic Motivation in Open Source Software Development},
      institution = {Freie Universitaet Berlin},
      year = {2004},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://edocs.fu-berlin.de/docs/servlets/MCRFileNodeServlet/FUDOCS_derivate_000000000137/discpaper19_04.pdf;jsessionid=CC02660AC5E9A506AFA13DD3F8068527?hosts=},
      }
  • J. Bitzer und P. J. H. Schroeder, "Competition and innovation in a technology setting software duopoly," DIW2003.
    @TechReport{,
      author = {Bitzer, Juergen and Schroeder, Philipp J. H.},
      title = {Competition and innovation in a technology setting software duopoly},
      institution = {DIW},
      year = {2003},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.40688.de/dp363.pdf},
      }
  • J. Bitzer und P. J. H. Schroeder, "Bug-Fixing and Code-Writing: The Private Provision of Open Source Software," DIW, Working Papers , 2002.
    @TechReport{,
      author = {Bitzer, Juergen and Schroeder, Philipp J. H.},
      title = {Bug-Fixing and Code-Writing: The Private Provision of Open Source Software},
      institution = {DIW},
      year = {2002},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.38515.de/dp296.pdf},
      }
  • J. Bitzer und A. Stephan, "A Schumpeter-inspired Approach to the Construction of R and D Capital Stocks," DIW, Working Papers , 2002.
    @TechReport{,
      author = {Bitzer, Juergen and Stephan, Andreas},
      title = {A Schumpeter-inspired Approach to the Construction of R and D Capital Stocks},
      institution = {DIW},
      year = {2002},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.38579.de/dp300.pdf},
      }
  • J. Bitzer, "Erosion of Monopoly Power due to the Emergence of Linux," DIW, Working Papers , 2000.
    @TechReport{,
      author = {Bitzer, Juergen},
      title = {Erosion of Monopoly Power due to the Emergence of Linux},
      institution = {DIW},
      year = {2000},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.38489.de/dp231.pdf},
      }
  • J. Bitzer und C. von Hirschhausen, "The Computer Software Industry in East and West Do Eastern European Countries Need a Specific Science and Technology Policy ?," DIW, Working Papers , 1997.
    @TechReport{,
      author = {Bitzer, Juergen and von Hirschhausen, Christian},
      title = {The Computer Software Industry in East and West Do Eastern European Countries Need a Specific Science and Technology Policy ?},
      institution = {DIW},
      year = {1997},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/dokumentenarchiv/17/38503/dp149.pdf},
      }
  • J. Bitzer und C. von Hirschhausen, "The Shipbuilding Industry in East and West: Industry Dynamics, Science and Technology Policies and Emerging Patterns of Co-operation," DIW, Working Papers , 1997.
    @TechReport{,
      author = {Bitzer, Juergen and von Hirschhausen, Christian},
      title = {The Shipbuilding Industry in East and West: Industry Dynamics, Science and Technology Policies and Emerging Patterns of Co-operation},
      institution = {DIW},
      year = {1997},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.38593.de/dp151.pdf},
      }
  • J. Bitzer, "The Computer Industry in East and West: Do Eastern European Countries Need a Specific Science and Technology Policy?," DIW, Working Papers , 1997.
    @TechReport{,
      author = {Bitzer, Juergen},
      title = {The Computer Industry in East and West: Do Eastern European Countries Need a Specific Science and Technology Policy?},
      institution = {DIW},
      year = {1997},
      type = {Working Papers},
      owner = {Catharina Schramm},
      timestamp = {2016.11.09},
      url = {http://www.diw.de/documents/publikationen/73/diw_01.c.38550.de/dp148.pdf},
      }
Webbs0nmasq1qstersep (stefanie.wufjfndrayf4m@hep6uol.r+2tdexz) (Stand: 21.08.2020)