Abstract
We analyse a comprehensive panel dataset of economists working at Austrian, German, and Swiss universities and investigate how job mobility and characteristics of other researchers working at the same university affect research productivity. On aggregate, we find no influence of these local research characteristics on the productivity of researchers, if we control for their unobserved characteristics. This finding indicates that with today’s information, communication and travelling technologies knowledge spillovers are globally available rather than dependent on physical co-presence. However, we find some evidence that high-productivity researchers could be more likely to benefit from local research characteristics.
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Notes
Furthermore, peers might additionally influence research productivity by creating a competitive environment in which peers at the same university align their efforts (Frank 1985).
Early work by Lotka (1926); Beaver and Rosen 1979) document a positive correlation between the number of co-authorships and research productivity. A more recent study by Lee and Bozeman (2005) finds no impact of co-authorships when adjusting research productivity by the number of authors and when controlling for individual and institutional factors.
Note that in economics the authors typically are named in alphabetical order.
Even though bibliometric methods are imperfect measures of research productivity, they are widely used by university researchers, administrators and their stakeholders (see, e.g., Stephan 2012). Our data performs relatively well according to the quality criteria set out in Harzing (2008) and Adler and Harzing (2009). Concretely, we account for number of authors and the quality of a broad range of general as well as specialized journals that cover the relevant languages. Furthermore, in economics, no weighting of the first author is required and we control for the sub-field of specialization. Finally, we appropriately assign affiliations by using the current and primary affiliation.
Publications in peer-reviewed journals are the most important publication outlets in our sample of economists at German-speaking universities. In the time span under consideration, books and monographs have lost some of their previous high importance and blogs have only started to become important. Assigning a quality weight to a journal is preferred to pure counting of publications or citations and reflects the screening in the review process. Nonetheless, journal rankings based among other criteria on impact factors have a limited explanatory power for the impact of the individual article (early work on this topic include Schubert and Glänzel (1983) and Seglen (1997)). However, for example using instead article citations to account for quality is not possible in the current setting, because in economics with its particular long publication time lag, using citations as a reliable quality measure requires several years of subsequent observations.
For more information regarding the methodology of the Handelsblatt ranking 2011 used in this study refer to Handelsblatt (2011b).
Since we control for the local research environment, \(Mobil_{i,t}\) identifies the pure mobility effect (hypothesis 3a), i.e. the job mobility effect for a given local research environment. Including \(Mobil_{i,t}\) and \(\overline{y}_{-i}\) individually yields qualitatively the same results, suggesting that multicollinearity is not a major concern. These estimates can be obtained from the authors upon request.
By dropping observations for which receiving the first call and mobility coincide, the variable \(Tenured_{i}\) becomes time-invariant.
Due to the large number of journals considered in this study in addition to using the rolling average of publications over two years, only about 10 % of our sample has no research output in a particular year. Hence, it is not surprising that dropping the 154 observations with \(y_{i,j_t,t}\)=0 or using replacement values of 1, 0.1 or 0.001 yield qualitatively the same results. These results can be obtained from the authors upon request.
In principle, it would be possible to analyse the impact delayed by one year by ignoring the data for the year 2008. However, this approach would leave us with a sample size of 442 observations, a time dimension of 2, and only 22 incidences of job mobility. In particular there is not enough data for a further sample split. Due to this data restriction we do not evaluate this additional impact lagged by one year.
References
Ackers, L. (2005). Moving people and knowledge: Scientific mobility in the European Union. International Migration, 43(5), 99–131.
Adler, N. J., & Harzing, A. W. (2009). When knowledge wins: Transcending the sense and nonsense of academic rankings. Academy of Management Learning and Education, 8(1), 72–95.
Allison, P. D., & Long, J. S. (1990). Departmental effects on scientific productivity. American Sociological Review, 8, 469–478.
Andrews, M., Schank, T., & Upward, R. (2006). Practical fixed-effects estimation methods for the three-way error-components model. Stata Journal, 6(4), 461–481.
Arrow, K. (1962). Economic welfare and the allocation of resources for invention. The rate and direction of inventive activity: Economic and social factors (pp. 609–626). NBER Chapters: National Bureau of Economic Research Inc.
Azoulay, P., Graff Zivin, J., & Wang, J. (2010). Superstar extinction. Quarterly Journal of Economics, 25, 549–589.
Backes-Gellner, U., & Schlinghoff, A. (2010). Career incentives and publish or perish in German and US universities. European Education, 42(3), 26–52.
Bäker, A. (2013). The impact of changes of affiliation on publications: An analysis of the role of research discipline and institutional size. Working Paper Series.
Barjak, F., & Robinson, S. (2008). International collaboration, mobility and team diversity in the life sciences: Impact on research performance. Social Geography, 3(1), 23–36.
Bauder, H. (2012). The international mobility of academics: a labour market perspective. International Migration.
Beaver, D., & Rosen, R. (1979). Studies in scientific collaboration part II. Scientometrics, 1(2), 133–149.
Beckmann, K. & Schneider, A. (2011). The interaction of publications and appointments: New evidence on academic economists in germany. Education Economics pp. 1–16.
Bergman, E. (2011). Hirschmann mobility among academics of highly ranked eu research universities. ERSA conference papers ersa11p1134, European Regional Science Association.
Borjas, G.J., Doran, K.B. (2014). Which peers matter? The relative impacts of collaborators, colleagues, and competitors. NBER Working Papers 20026, National Bureau of Economic Research Inc.
Boschma, R. A. (2005). Does geographical proximity favour innovation? Economie et Institutions, 6, 111–127.
Bosquet, C., Combes, P.P. (2013). Do large departments make academics more productive? Agglomeration and peer effects in research. SERC Discussion Papers (0133).
Breuninger, S. (2013). Mobilitaet und Karriereerfolg von Nachwuchswissenschaftlern. Unpublished manuscript.
Cañibano, C., Otamendi, J., & Andújar, I. (2008). Measuring and assessing researcher mobility from cv analysis: The case of the ramón y cajal programme in spain. Research Evaluation, 17(1), 17–31.
Carayol, N. (2007). Academic incentives, research organization and patenting at a large french university. Economics of Innovation and New Technologies, 16(2), 119–138.
Carayol, N., & Matt, M. (2006). Individual and collective determinants of academic scientists productivity. Information Economics and Policy, 18(1), 55–72.
Cassiman, B. & Veugelers, R, (2002). R&D cooperation and spillovers: Some empirical evidence from belgium. American Economic Review pp. 1169–1184.
Cohen, W. M., & Levinthal, D. A. (1989). Innovation and learning: The two faces of R & D. The Economic Journal, 99(397), 569–596.
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35, 128–152.
Combes, P.P. & Linnemer, L. (2010). Inferring missing citations: A quantitative multi-criteria ranking of all journals in economics. Working Papers HAL 00520325.
Dietz, J. S., & Bozeman, B. (2005). Academic careers, patents, and productivity: Industry experience as scientific and technical human capital. Research Policy, 34(3), 349–367.
Dubois, P., Rochet, J.C., Schlenker, J.M. (2012). Productivity and mobility in academic research: Evidence from mathematicians. Institut d’Économie Industrielle (IDEI), Toulouse.
Elhorst, J. P., & Zigova, K. (2014). Competition in research activity among economic departments: Evidence by negative spatial autocorrelation. Geographical Analysis, 46(2), 104–125.
EU Commission (2000). Communication from the commission to the council, the european parliament, the economic and social committee and the committee of the regions: Towards a european research area.
EU Commission (2007). The European Research Area: New Perspectives.
Fabel, O., Hein, M., & Hofmeister, R. (2008). Research productivity in business economics: An investigation of Austrian, German and Swiss universities. German Economic Review, 9(4), 506–531.
Fernandez-Zubieta, A., Geuna, A. & Lawson, C. (2013). Researchers’ mobility and its impact on scientific productivity. University of Turin Working paper 2013(3).
Frank, R. (1985). Choosing the right pond: Human behaviour and the quest for status. New York: Oxford University Press.
Goyal, S., Van Der Leij, M. J., & Moraga-González, J. L. (2006). Economics: An emerging small world. Journal of Political Economy, 114(2), 403–412.
Griffith, R., Lee, S., & Van Reenen, J. (2011). Is distance dying at last? Falling home bias in fixed-effects models of patent citations. Quantitative economics, 2(2), 211–249.
Handelsblatt, (2011a). Journalliste. http://www.handelsblatt.com/politik/oekonomie/vwl-ranking/
Handelsblatt, (2011b). VWL-Ranking. http://www.handelsblatt.com/politik/oekonomie/vwl-ranking/methodik-so-funktioniert-das-vwl-ranking/4575334.html/
Hanushek, E. A., Kain, J. F., Markman, J. M., & Rivkin, S. G. (2003). Does peer ability affect student achievement? Journal of Applied Econometrics, 18(5), 527–544.
Harzing, A. W. (2008). Arbitrary decisions in ranking studies: A commentary on Xu, Yalcinkaya, and Seggie. Asia Pacific Journal of Management, 25(4), 685–689.
Hoch, P. K. (1987). Migration and the generation of new scientific ideas. Minerva, 25(3), 209–237.
Hoisl, K. (2007). Tracing mobile inventors: The causality between inventor mobility and inventor productivity. Research Policy, 36(5), 619–636.
Hoisl, K. (2009). Does mobility increase the productivity of inventors? The Journal of Technology Transfer, 34(2), 212–225.
Jaffe, A. B., Trajtenberg, M., & Fogarty, M. S. (2000). Knowledge spillovers and patent citations: Evidence from a survey of inventors. American Economic Review Papers and Proceedings, 90, 215–218.
Jonkers, K., & Tijssen, R. (2008). Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity. Scientometrics, 77(2), 309–333.
Jovanovic, B. (1979). Job matching and the theory of turnover. The Journal of Political Economy, 87(5), 972–990.
Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research policy, 26(1), 1–18.
Kim, E. H., Morse, A., & Zingales, L. (2009). Are elite universities losing their competitive edge? Journal of Financial Economics, 93(3), 353–381.
Laband, D. N., & Tollison, R. D. (2000). Intellectual collaboration. Journal of Political Economy, 108(3), 632–662.
Leamer, E. E., & Storper, M. (2001). The economic geography of the internet age. Journal of International Business Studies, 32(4), 641–665.
Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.
Levin, S. G., & Stephan, P. E. (1991). Research productivity over the life cycle: Evidence for academic scientists. American Economic Review, 81(1), 114–132.
Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of Washington Academy Sciences, 16, 317–323.
Manski, C. F. (1993). Identification of endogenous social effects: The reflection problem. Review of Economic Studies, 60(3), 531–42.
More, (2010). Mobility patterns and career paths of eu researchers. http://ec.europa.eu/euraxess/pdf/research_policies/MORE_final_report-_final_version
Polany, M. (1967). The tacit dimension. London: Routledge.
Ralph, K., & Bertrand, B. (2011). Critical mass and the dependency of research quality on group size? Scientometrics, 86(2), 527–540.
Rauber, M., & Ursprung, H. (2008a). Evaluation of researchers: A life cycle analysis of german academic economists. In M. Albert, S. Voigt, & D. Schmidtchen (Eds.), Conferences on new political economy, conferences on new political economy (Vol. 25). Tuebingen: Mohr Siebeck.
Rauber, M., & Ursprung, H. W. (2008b). Life cycle and cohort productivity in economic research: The case of germany. German Economic Review, 9, 431–456.
Rosenblat, T. S., & Möbius, M. M. (2004). Getting closer or drifting apart? Quarterly Journal of Economics, 119(3), 971–1009.
Saisana, M., d’Hombres, B., & Saltelli, A. (2011). Rickety numbers: Volatility of university rankings and policy implications. Research Policy, 40(1), 165–177.
Santos Silva, J., & Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88(4), 641–658.
Scellato, G., Franzoni, C., & Stephan, P. (2012). Mobile scientists and international networks. National Bureau of Economic Research : Tech. rep.
Schankerman, M., Shalem, R. & Trajtenberg, M. (2006). Software patents, inventors and mobility. Unpublished manuscript.
Schubert, A., & Glänzel, W. (1983). Statistical reliability of comparisons based on the citation impact of scientific publications. Scientometrics, 5(1), 59–73.
Seglen, P. O. (1997). Why the impact factor of journals should not be used for evaluating research. BMJ British Medical Journal, 314(7079), 498.
Simmie, J. (2005). Critical surveys edited by stephen roper innovation and space: A critical review of the literature. Regional Studies, 39(6), 789–804.
Sonn, J. W., & Storper, M. (2008). The increasing importance of geographical proximity in knowledge production: An analysis of us patent citations, 1975–1997. Environment and Planning A, 40(5), 1020.
Stephan, P. (2012). How economics shapes science. Cambridge: harvard university press.
Stigler, G. J. (1988). Memoirs of an unregulated economist. New York: Basic Books.
Stoyanov, A., & Zubanov, N. (2012). Productivity spillovers across firms through worker mobility. American Economic Journal: Applied Economics, 4(2), 168–198.
Swiss National Science Foundation (2014). Lead agency - Facilitating cross-border research http://www.snf.ch/en/funding/supplementary-measures/lead-agency/Pages/default.aspx
Teodorescu, D. (2000). Correlates of faculty publication productivity: A cross-national analysis. Higher Education, 39(2), 201–222.
Thompson, P., & Fox-Kean, M. (2005). Patent citations and the geography of knowledge spillovers: A reassessment. American Economic Review, 95(1), 450–460.
Topel, R. H., & Ward, M. P. (1992). Job mobility and the careers of young men. The Quarterly Journal of Economics, 107(2), 439–479.
Trajtenberg, M. (2006). The mobility of inventors and the productivity of research. Unpublished manuscript.
Vigidor, J. & Nechyba, J. (2007). Schools and the equal opportunity problem, MIT Press, chap Peer Effects in North Carolina Public Schools.
Walckiers, A. (2008). Multi-dimensional contracts with task-specific productivity: An application to universities. International Tax and Public Finance, 15(2), 165–198.
Waldinger, F. (2010). Quality matters: The expulsion of professors and the consequences for phd student outcomes in Nazi Germany. Journal of Political Economy, 118(4), 787–831.
Waldinger, F. (2012). Peer effects in science: Evidence from the dismissal of scientists in Nazi Germany. The Review of Economic Studies, 79(2), 838–861.
Weinberg BA (2006) Geography and innovation: Evidence from nobel laureate physicists. Proceedings of the Federal Reserve Bank of Cleveland.
Weitzman, M. L. (1998). Recombinant growth. Quarterly Journal of Economics, 113(2), 331–360.
Wolf, J., Rohn, A.S. & Macharzina, K. (2006). Forschungsleistung in der deutschsprachigen Betriebswirtschaftslehre: Konzeption und Befunde einer empirischen Untersuchung. Springer DE.
Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.
Acknowledgments
We thank Stephan Fretz and Heinrich Ursprung for ongoing support. For helpful comments and suggestions we are grateful to two anonymous referees, Toke Aidt, Matthias Bannert, Tobias Brändle, Martin Gassebner, Anne-Wil Harzing, Bertrand Koebel, Matthias Krapf, Michael Lamla, Martin Paldam, Marc Sangnier and Jan-Egbert Sturm. Furthermore, we are thankful to the participants of the KOF research seminar, of the Lancaster University Economics Department Research Seminar, of the Personnel economics colloquium in Tübingen, of the SMYE in Aarhus, of the EJPE workshop in Castasegna and of the EPCS conference in Cambridge.
Thomas Bolli gratefully acknowledges the financial support of the Swiss National Science Foundation.
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Bolli, T., Schläpfer, J. Job mobility, peer effects, and research productivity in economics. Scientometrics 104, 629–650 (2015). https://doi.org/10.1007/s11192-015-1625-3
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DOI: https://doi.org/10.1007/s11192-015-1625-3