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Persistence Bias and Schooling Returns

  • Andini, Corrado

    ()

    (University of Madeira)

A well-established empirical literature suggests that individual wages are persistent. Several theoretical arguments support this empirical finding. Yet, the standard approach to the estimation of schooling returns does not account for this fact. This paper investigates the consequences of disregarding earnings persistence. In particular, it shows that the most commonly used static-model estimators of schooling coefficients are subject to an omitted-variable bias which can be named "persistence bias".

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 8143.

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Length: 34 pages
Date of creation: Apr 2014
Date of revision:
Handle: RePEc:iza:izadps:dp8143
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  1. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
  2. Brian Bell & Stephen Nickell & Glenda Quintini, 2000. "Wage equations, wage curves and all that," LSE Research Online Documents on Economics 20165, London School of Economics and Political Science, LSE Library.
  3. Corrado Andini, 2007. "Returns to education and wage equations: a dynamic approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 577-579.
  4. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  5. Baltagi, Badi H. & Blien, Uwe & Wolf, Katja, 2009. "New evidence on the dynamic wage curve for Western Germany: 1980-2004," Labour Economics, Elsevier, vol. 16(1), pages 47-51, January.
  6. L. Hospido, 2012. "Modelling heterogeneity and dynamics in the volatility of individual wages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 386-414, 04.
  7. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  8. Philip A. Trostel, 2005. "Nonlinearity in the return to education," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 191-202, May.
  9. Anabela Carneiro & Paulo Guimarães & Pedro Portugal, 2012. "Real Wages and the Business Cycle: Accounting for Worker, Firm, and Job Title Heterogeneity," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 133-52, April.
  10. Christian Belzil, 2007. "The Return to Schooling in Structural Dynamic Models: A Survey," Post-Print halshs-00201230, HAL.
  11. John M. Abowd & David Card, 1986. "On the Covariance Structure of Earnings and Hours Changes," NBER Working Papers 1832, National Bureau of Economic Research, Inc.
  12. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
  13. Fatih Guvenen, 2007. "An empirical investigation of labor income processes," IFS Working Papers W07/13, Institute for Fiscal Studies.
  14. Schwarz, Claudia & Kripfganz, Sebastian, 2015. "Estimation of linear dynamic panel data models with time-invariant regressors," Working Paper Series 1838, European Central Bank.
  15. Andini, Corrado, 2008. "Wage Bargaining and the (Dynamic) Mincer Equation," IZA Discussion Papers 3822, Institute for the Study of Labor (IZA).
  16. Guiso, Luigi & Pistaferri, Luigi & Schivardi, Fabiano, 2001. "Insurance Within the Firm," CEPR Discussion Papers 2793, C.E.P.R. Discussion Papers.
  17. Kjetil Storesletten & Chris Telmer & Amir Yaron, 1997. "Consumption and risk sharing over the life cycle," GSIA Working Papers 228, Carnegie Mellon University, Tepper School of Business.
  18. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  19. Webbink, Dinand & Hartog, Joop, 2004. "Can students predict starting salaries? Yes!," Economics of Education Review, Elsevier, vol. 23(2), pages 103-113, April.
  20. Andini, Corrado, 2007. "A Dynamic Mincer Equation with an Application to Portuguese Data," IZA Discussion Papers 2897, Institute for the Study of Labor (IZA).
  21. Anastasia Semykina & Jeffrey M. Wooldridge, 2013. "Estimation of dynamic panel data models with sample selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 47-61, 01.
  22. Ana Rute Cardoso & Miguel Portela, 2009. "Micro Foundations for Wage Flexibility: Wage Insurance at the Firm Level," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(1), pages 29-50, 03.
  23. Andini, Corrado, 2013. "Earnings persistence and schooling returns," Economics Letters, Elsevier, vol. 118(3), pages 482-484.
  24. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
  25. Hungerford, Thomas & Solon, Gary, 1987. "Sheepskin Effects in the Returns to Education," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 175-77, February.
  26. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
  27. Corrado Andini, 2013. "How well does a dynamic Mincer equation fit NLSY data? Evidence based on a simple wage-bargaining model," Empirical Economics, Springer, vol. 44(3), pages 1519-1543, June.
  28. Andini, Corrado, 2013. "Persistence Bias and the Wage-Schooling Model," IZA Discussion Papers 7186, Institute for the Study of Labor (IZA).
  29. Farber, Henry S, 1994. "The Analysis of Interfirm Worker Mobility," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 554-93, October.
  30. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
  31. Francis Vella & Marno Verbeek, 1998. "Whose wages do unions raise? A dynamic model of unionism and wage rate determination for young men," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(2), pages 163-183.
  32. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-58, March.
  33. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
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