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Cross‐affiliation collaboration and power laws for research output of institutions: Evidence and theory from top three finance journals

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  • Hui Dong
  • Dan Luo
  • Xudong Zeng
  • Zhentao Zou

Abstract

Cross‐affiliation emerges as a new and fast‐developing means to promote collaboration in financial research. We find that the average number of affiliations reported per author in the top‐three finance journals increases steadily from 1.1 to 1.3 from 1995 to 2016. Scale‐free power laws characterize the resulting highly‐skewed distributions of top finance journal publications of worldwide institutions. We propose an explanation of the scale‐invariance, based on a network model featuring nonlinear growth and linear preferential attachment. The model indicates that success‐breeds‐success engenders 87% of total publications and hence the dispersion in research output, while accelerated growth of collaboration reduces the heterogeneity.

Suggested Citation

  • Hui Dong & Dan Luo & Xudong Zeng & Zhentao Zou, 2023. "Cross‐affiliation collaboration and power laws for research output of institutions: Evidence and theory from top three finance journals," International Studies of Economics, John Wiley & Sons, vol. 18(4), pages 502-526, December.
    • Handle: RePEc:wly:intsec:v:18:y:2023:i:4:p:502-526
    DOI: 10.1002/ise3.52
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    References listed on IDEAS

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    1. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2009. "Are elite universities losing their competitive edge?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 353-381, September.
    2. Jan Eeckhout, 2004. "Gibrat's Law for (All) Cities," American Economic Review, American Economic Association, vol. 94(5), pages 1429-1451, December.
    3. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    4. Katharine A. Anderson & Seth Richards-Shubik, 2022. "Collaborative Production in Science: An Empirical Analysis of Coauthorships in Economics," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1241-1255, November.
    5. Hanna Hottenrott & Cornelia Lawson, 2017. "A first look at multiple institutional affiliations: a study of authors in Germany, Japan and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 285-295, April.
    6. Donald Deb. Beaver, 2001. "Reflections on Scientific Collaboration (and its study): Past, Present, and Future," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 365-377, November.
    7. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
    8. Wilfred Dolfsma & Loet Leydesdorff, 2010. "The citation field of evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 645-664, October.
    9. van der Leij Marco & Goyal Sanjeev, 2011. "Strong Ties in a Small World," Review of Network Economics, De Gruyter, vol. 10(2), pages 1-22, June.
    10. Xavier Gabaix, 1999. "Zipf's Law for Cities: An Explanation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 739-767.
    11. Nataliya Matveeva & Anuška Ferligoj, 2020. "Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2383-2407, September.
    12. Andrikopoulos, Andreas & Trichas, Georgios, 2018. "Publication patterns and coauthorship in the Journal of Corporate Finance," Journal of Corporate Finance, Elsevier, vol. 51(C), pages 98-108.
    13. Brogaard, Jonathan & Engelberg, Joseph & Parsons, Christopher A., 2014. "Networks and productivity: Causal evidence from editor rotations," Journal of Financial Economics, Elsevier, vol. 111(1), pages 251-270.
    14. Lorenzo Ductor, 2015. "Does Co-authorship Lead to Higher Academic Productivity?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 385-407, June.
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