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Scientific Networks and Co-authorship Author info | Abstract | Publisher info | Download info | Related research | Statistics Marcel Fafchamps
Marco J. van der Leij
Sanjeev Goyal
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Using a database of all published articles in economic journals over the last 30 years, we investigate the determinants of scientific co-authorship. We find that, controlling for pair-wise fixed effects and author productivity, a new collaboration emerges faster if the two authors are more closely connected, either directly or indirectly, through collaborations with others. This effect is strong and robust. It is consistent with a referral model of the formation of scientific collaborations. We also find that large differences in research output between authors favor co-authorship, suggesting that scientific collaboration is more likely between authors with dissimilar ability and experience. This effect disappears if we limit the data to highly productive authors.
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Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number
256.
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Date of creation: 2006Date of revision:
Handle: RePEc:oxf:wpaper:256Contact details of provider: Postal: Manor Rd. Building, Oxford, OX1 3UQ Email: Web page: http://www.economics.ox.ac.uk/ More information through EDIRC
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Keywords: Job Referral ; Networks ; Assortative Matching ; Scientific Collaboration ; Academia ; Economics ; Other versions of this item:
Find related papers by JEL classification: J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
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"A Model of Growth through Creative Destruction ,"
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Aghion, P. & Howitt, P., 1990.
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Working papers
527, Massachusetts Institute of Technology (MIT), Department of Economics.
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