Small Sample Properties of Bayesian Estimators of Labor Income Processes
There exists an extensive literature estimating idiosyncratic labor income processes. While a wide variety of models are estimated, GMM estimators are almost always used. We examine the validity of using likelihood based estimation in this context by comparing the small sample properties of a Bayesian estimator to those of GMM. Our baseline studies estimators of a commonly used simple earnings process. We extend our analysis to more complex environments, allowing for real world phenomena such as time varying and heterogeneous parameters, missing data, unbalanced panels, and non-normal errors. The Bayesian estimators are demonstrated to have favorable bias and efficiency properties.
|Date of creation:||31 Mar 2014|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.federalreserve.gov/
More information through EDIRC
|Order Information:||Web: http://www.federalreserve.gov/pubs/feds/fedsorder.html|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Norets, Andriy & Pelenis, Justinas, 2011.
"Posterior Consistency in Conditional Density Estimation by Covariate Dependent Mixtures,"
282, Institute for Advanced Studies.
- Norets, Andriy & Pelenis, Justinas, 2014. "Posterior Consistency In Conditional Density Estimation By Covariate Dependent Mixtures," Econometric Theory, Cambridge University Press, vol. 30(03), pages 606-646, June.
- Fatih Guvenen, 2009.
"An Empirical Investigation of Labor Income Processes,"
Review of Economic Dynamics,
Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
- Fatih Guvenen, 2007. "An Empirical Investigation of Labor Income Processes," NBER Working Papers 13394, National Bureau of Economic Research, Inc.
- Fatih Guvenen, 2008. "Code and data files for "An Empirical Investigation of Labor Income Processes"," Computer Codes 06-15, Review of Economic Dynamics.
- Fatih Guvenen, 2007. "An empirical investigation of labor income processes," IFS Working Papers W07/13, Institute for Fiscal Studies.
- Fatih Guvenen, 2005. "An Empirical Investigation of Labor Income Processes," Macroeconomics 0508026, EconWPA.
- J. Durbin, 2002. "A simple and efficient simulation smoother for state space time series analysis," Biometrika, Biometrika Trust, vol. 89(3), pages 603-616, August.
- Lillard, Lee A & Weiss, Yoram, 1979. "Components of Variation in Panel Earnings Data: American Scientists, 1960-70," Econometrica, Econometric Society, vol. 47(2), pages 437-54, March.
- Geweke, John & Keane, Michael, 2000. "An empirical analysis of earnings dynamics among men in the PSID: 1968-1989," Journal of Econometrics, Elsevier, vol. 96(2), pages 293-356, June.
- 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.
When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2014-25. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kris Vajs)
If references are entirely missing, you can add them using this form.