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Does Mobility across Universities Raise Scientific Productivity?

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  • Ejermo, Olof

    (Lund University)

  • Fassio, Claudio

    (Lund University)

  • Källström, John

    (Lund University)

Abstract

Using a highly comprehensive new dataset on Swedish researchers, we investigate the effects of interuniversity mobility on researcher productivity. Our study suggests substantial gains from mobility on scientific output. We find that mobility induces a long-lasting increase in a researcher’s publications by 29% and citations by 50%. Moreover, we analyze the factors that are likely to have an impact on the overall effect of mobility: the interaction of mobility and promotion, the importance of the status of the destination university, as well as the role of the specific disciplinary field of mobile researchers. The empirical analysis addresses selection using inverse probability treatment censoring weights.

Suggested Citation

  • Ejermo, Olof & Fassio, Claudio & Källström, John, 2019. "Does Mobility across Universities Raise Scientific Productivity?," Papers in Innovation Studies 2019/14, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2019_014
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    1. Azoulay, Pierre & Ganguli, Ina & Graff Zivin, Joshua, 2017. "The mobility of elite life scientists: Professional and personal determinants," Research Policy, Elsevier, vol. 46(3), pages 573-590.
    2. 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.
    3. Pierre Dubois & Jean-Charles Rochet & Jean-Marc Schlenker, 2014. "Productivity and mobility in academic research: evidence from mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1669-1701, March.
    4. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    5. Petra Moser & Alessandra Voena & Fabian Waldinger, 2014. "German Jewish ?migr?s and US Invention," American Economic Review, American Economic Association, vol. 104(10), pages 3222-3255, October.
    6. Buenstorf, Guido, 2009. "Is commercialization good or bad for science? Individual-level evidence from the Max Planck Society," Research Policy, Elsevier, vol. 38(2), pages 281-292, March.
    7. George J. Borjas & Kirk B. Doran, 2021. "The Collapse Of The Soviet Union And The Productivity Of American Mathematicians," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 11, pages 313-373, World Scientific Publishing Co. Pte. Ltd..
    8. Noriyuki Morichika & Sotaro Shibayama, 2015. "Impact of inbreeding on scientific productivity: A case study of a Japanese university department," Research Evaluation, Oxford University Press, vol. 24(2), pages 146-157.
    9. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    10. Antoni Calvó-Armengol & Matthew O. Jackson, 2004. "The Effects of Social Networks on Employment and Inequality," American Economic Review, American Economic Association, vol. 94(3), pages 426-454, June.
    11. Kaiser, Ulrich & Kongsted, Hans Christian & Rønde, Thomas, 2015. "Does the mobility of R&D labor increase innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 91-105.
    12. Thomas Bolli & Jörg Schläpfer, 2015. "Job mobility, peer effects, and research productivity in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 629-650, September.
    13. Hoisl, Karin, 2007. "Tracing mobile inventors--The causality between inventor mobility and inventor productivity," Research Policy, Elsevier, vol. 36(5), pages 619-636, June.
    14. Robert A. Moffitt, 2004. "Introduction to the Symposium on the Econometrics of Matching," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 1-3, February.
    15. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    16. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    17. Pierre Azoulay & Joshua S. Graff Zivin & Jialan Wang, 2010. "Superstar Extinction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 549-589.
    18. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    19. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    20. Pierre Azoulay & Joshua S. Graff Zivin & Bhaven N. Sampat, 2011. "The Diffusion of Scientific Knowledge across Time and Space: Evidence from Professional Transitions for the Superstars of Medicine," NBER Chapters, in: The Rate and Direction of Inventive Activity Revisited, pages 107-155, National Bureau of Economic Research, Inc.
    21. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    22. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    23. Fernandez-Zubieta, Ana & Geuna, Aldo & Lawson, Cornelia, 2015. "What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201522, University of Turin.
    24. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    25. Lynne G. Zucker & Michael R. Darby & Maximo Torero, 2002. "Labor Mobility from Academe to Commerce," Journal of Labor Economics, University of Chicago Press, vol. 20(3), pages 629-660, July.
    26. Mareva Sabatier, 2012. "Does Productivity Decline After Promotion? The Case of French Academia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 886-902, December.
    27. Hugo Horta & Francisco M. Veloso & Rócio Grediaga, 2010. "Navel Gazing: Academic Inbreeding and Scientific Productivity," Management Science, INFORMS, vol. 56(3), pages 414-429, March.
    28. Pierre Azoulay & Waverly Ding & Toby Stuart, 2009. "The Impact Of Academic Patenting On The Rate, Quality And Direction Of (Public) Research Output," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 637-676, December.
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    Cited by:

    1. Xie, Zheng, 2020. "Predicting publication productivity for researchers: A piecewise Poisson model," Journal of Informetrics, Elsevier, vol. 14(3).
    2. Ejermo, Olof & Sofer, Yotam, 2024. "When colleges graduate: Micro-level effects on publications and scientific organization," Research Policy, Elsevier, vol. 53(6).
    3. Chiara Zanardello, 2023. "Market forces in Italian academia today (and yesterday)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 651-698, January.
    4. David de la Croix & Pauline Morault, 2020. "Winners and Losers from the Protestant Reformation: An Analysis of the Network of European Universities," LIDAM Discussion Papers IRES 2020029, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Wumei Du & Zheng Xie & Yiqin Lv, 2021. "Predicting publication productivity for authors: Shallow or deep architecture?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5855-5879, July.

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    More about this item

    Keywords

    Economics of science; mobility; scientific productivity; university;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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