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Researcher Incentives and Empirical Methods

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  • Edward L. Glaeser

Abstract

Economists are quick to assume opportunistic behavior in almost every walk of life other than our own. Our empirical methods are based on assumptions of human behavior that would not pass muster in any of our models. The solution to this problem is not to expect a mass renunciation of data mining, selective data cleaning or opportunistic methodology selection, but rather to follow Leamer's lead in designing and using techniques that anticipate the behavior of optimizing researchers. In this essay, I make ten points about a more economic approach to empirical methods and suggest paths for methodological progress.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0329.

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Date of creation: Oct 2006
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Handle: RePEc:nbr:nberte:0329

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  1. Xavier X. Sala-i-Martin, 1997. "I Just Ran Four Million Regressions," NBER Working Papers 6252, National Bureau of Economic Research, Inc.
  2. Levine, Ross & Renelt, David, 1991. "A sensitivity analysis of cross-country growth regressions," Policy Research Working Paper Series 609, The World Bank.
  3. Lovell, Michael C, 1983. "Data Mining," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 1-12, February.
  4. Edward E. Leamer, 1982. "Let's Take the Con Out of Econometrics," UCLA Economics Working Papers 239, UCLA Department of Economics.
  5. Denton, Frank T, 1985. "Data Mining as an Industry," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 124-27, February.
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Cited by:
  1. S. Longhi & P. Nijkamp & J. Poot, 2008. "Meta-Analysis of Empirical Evidence on the Labour Market Impacts of Immigration," Population Studies Centre Discussion Papers dp-67, University of Waikato, Population Studies Centre.
  2. Furman, Jeffrey L. & Jensen, Kyle & Murray, Fiona, 2012. "Governing knowledge in the scientific community: Exploring the role of retractions in biomedicine," Research Policy, Elsevier, vol. 41(2), pages 276-290.
  3. Nicola Lacetera & Lorenzo Zirulia, 2008. "The Economics of Scientific Misconduct," KITeS Working Papers 215, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Apr 2008.
  4. Haeussler, Carolin, 2010. "Information-Sharing in Academia and the Industry: A Comparative Study," MPRA Paper 24415, University Library of Munich, Germany.

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