Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics
In this paper, we construct a non-parametric estimator of the distributions of latent factors in linear independent multi-factor models under the assumption that factor loadings are known. Our approach allows estimation of the distributions of up to L(L+ 1)/2 factors given L measurements. The estimator uses empirical characteristic functions, like many available deconvolution estimators. We show that it is consistent, and derive asymptotic convergence rates. Monte Carlo simulations show good finite-sample performance, less so if distributions are highly skewed or leptokurtic. We finally apply the generalized deconvolution procedure to decompose individual log earnings from the panel study of income dynamics (PSID) into permanent and transitory components. Copyright , Wiley-Blackwell.
Volume (Year): 77 (2010)
Issue (Month): 2 ()
|Contact details of provider:|| |
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.:
- Jean-Marc Robin & Stéphane Bonhomme, 2009.
"Consistent Noisy Independent Component Analysis,"
Sciences Po publications
info:hdl:2441/eu4vqp9ompq, Sciences Po.
- Gary CHAMBERLAIN & Keisuke HIRANO, 1999. "Predictive Distributions based on Longitudinal Earnings Data," Annales d'Economie et de Statistique, ENSAE, issue 55-56, pages 211-242.
- Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
- Fatih Guvenen, 2005.
"An Empirical Investigation of Labor Income Processes,"
- 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, 2007. "An empirical investigation of labor income processes," IFS Working Papers W07/13, Institute for Fiscal Studies.
- Geweke, John & Keane, Michael, 2007. "Smoothly mixing regressions," Journal of Econometrics, Elsevier, vol. 138(1), pages 252-290, May.
- Keisuke Hirano, 2002. "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
- 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.
- Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-45, March.
- Lillard, Lee A & Willis, Robert J, 1978.
"Dynamic Aspects of Earning Mobility,"
Econometric Society, vol. 46(5), pages 985-1012, September.
- Horowitz, Joel L & Markatou, Marianthi, 1996. "Semiparametric Estimation of Regression Models for Panel Data," Review of Economic Studies, Wiley Blackwell, vol. 63(1), pages 145-68, January.
- Hall, Robert E & Mishkin, Frederic S, 1982.
"The Sensitivity of Consumption to Transitory Income: Estimates from Panel Data on Households,"
Econometric Society, vol. 50(2), pages 461-81, March.
- Robert E. Hall & Frederic S. Mishkin, 1980. "The Sensitivity of Consumption to Transitory Income: Estimates from Panel Data on Households," NBER Working Papers 0505, National Bureau of Economic Research, Inc.
- Gianluca Violante & Greg Kaplan, 2008. "How Much Insurance in Bewley Models?," 2008 Meeting Papers 522, Society for Economic Dynamics.
- Peter Hall & Qiwei Yao, 2003. "Inference in components of variance models with low replication," LSE Research Online Documents on Economics 17701, London School of Economics and Political Science, LSE Library.
- Brown, James N & Light, Audrey, 1992. "Interpreting Panel Data on Job Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 219-57, July.
- Costas Meghir & Luigi Pistaferri, 2004.
"Income Variance Dynamics and Heterogeneity,"
Econometric Society, vol. 72(1), pages 1-32, 01.
- Susanne M. Schennach, 2004. "Estimation of Nonlinear Models with Measurement Error," Econometrica, Econometric Society, vol. 72(1), pages 33-75, 01.
- Li, Tong & Vuong, Quang, 1998. "Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 139-165, May.
- 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.
- A. Delaigle & I. Gijbels, 2002. "Estimation of integrated squared density derivatives from a contaminated sample," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 869-886.
- Joel L. Horowitz & Marianthi Markatou, 1993. "Semiparametric Estimation Of Regression Models For Panel Data," Econometrics 9309001, EconWPA.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Fatih Guvenen, 2006.
"Learning your earning: are labor income shocks really very persistent?,"
Discussion Paper / Institute for Empirical Macroeconomics
145, Federal Reserve Bank of Minneapolis.
- Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
- Fatih Guvenen, 2005. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," Macroeconomics 0507004, EconWPA.
- Schennach, Susanne M., 2004. "Nonparametric Regression In The Presence Of Measurement Error," Econometric Theory, Cambridge University Press, vol. 20(06), pages 1046-1093, December.
When requesting a correction, please mention this item's handle: RePEc:oup:restud:v:77:y:2010:i:2:p:491-533. 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: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.