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Markets for Reputation: Evidence on Quality and Quantity in Academe

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  • Daniel S. Hamermesh
  • Gerard A. Pfann

Abstract

We develop a theory of the market for individual reputation, an indicator of regard by one's peers and others. The central questions are: 1) Does the quantity of exposures raise reputation independent of their quality? and 2) Assuming that overall quality matters for reputation, does the quality of an individual's most important exposure have an extra effect on reputation? Using evidence for academic economists, we find that, conditional on its impact, the quantity of output has no or even a negative effect on each of a number of proxies for reputation, and very little evidence that a scholar's most influential work provides any extra enhancement of reputation. Quality ranking matters more than absolute quality. Data on mobility and salaries show, on the contrary, substantial positive effects of quantity, independent of quality. We test various explanations for the differences between the determinants of reputation and salary.

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  • Daniel S. Hamermesh & Gerard A. Pfann, 2009. "Markets for Reputation: Evidence on Quality and Quantity in Academe," NBER Working Papers 15527, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15527
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    Cited by:

    1. Ozlem Inanc & Onur Tuncer, 2011. "The effect of academic inbreeding on scientific effectiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 885-898, September.
    2. Matteo Migheli & Giovanni B. Ramello, 2014. "Open Access Journals & Academics’ Behaviour," ICER Working Papers 03-2014, ICER - International Centre for Economic Research.
    3. Andrew J. Oswald, 2010. "A suggested method for the measurement of world-leading research (illustrated with data on economics)," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 99-113, July.
    4. Steven Stack, 2014. "Teaching and Salaries in Social Science: A Research Note," Social Science Quarterly, Southwestern Social Science Association, vol. 95(3), pages 785-794, September.
    5. Hofmeister Robert & Krapf Matthias, 2011. "How Do Editors Select Papers, and How Good are They at Doing It?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-23, October.
    6. Jinyoung Kim & Kanghyock Koh, 2014. "Incentives for Journal Editors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(1), pages 348-371, February.
    7. Russell Smyth & Vinod Mishra, 2014. "Academic inbreeding and research productivity and impact in Australian law schools," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 583-618, January.
    8. KRAPF, Matthias & SCHLÄPFER, Jörg, 2012. "How Nobel Laureates Would Perform In The Handelsblatt Ranking," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    9. Glenn Ellison, 2013. "How Does the Market Use Citation Data? The Hirsch Index in Economics," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 63-90, July.

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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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