Errors in self-reported earnings: The role of previous earnings volatility and individual characteristics
AbstractI report the measurement error in self-reported earnings for a developing country using a novel data set. The data set consists of two cross-sections of the Federated States of Micronesia (FSM) wage and salary sectors; additionally, a subset of the two cross-sections may be linked to create a panel. Administrative data from FSM Social Security office are matched to the FSM Census data for the wage and salary sectors. I find that the error in annual self-reported earnings is centered on zero. Additionally, I find strong evidence for mean reversion in the data suggesting non-classical measurement error. I identify the impact of prior years' earnings variability on the current reporting of earnings using administrative data on earnings histories. Prior earnings volatility strongly affects measurement error in current period. However, the effect of prior shocks diminish significantly over time--suggesting that first-differencing and fixed-effects techniques will not improve accuracy.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Development Economics.
Volume (Year): 96 (2011)
Issue (Month): 2 (November)
Contact details of provider:
Web page: http://www.elsevier.com/locate/devec
Non-classical measurement error Developing countries Instrumental variables Bounding coefficient estimates;
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.:
- Peter Gottschalk & Minh Huynh, 2010.
"Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error,"
The Review of Economics and Statistics,
MIT Press, vol. 92(2), pages 302-315, May.
- Peter Gottschalk & Minh Huynh, 2006. "Are Earnings Inequality and Mobility Overstated? The Impact of Non-Classical Measurement Error," Boston College Working Papers in Economics 649, Boston College Department of Economics.
- Gottschalk, Peter T. & Huynh, Minh, 2006. "Are Earnings Inequality and Mobility Overstated? The Impact of Non-Classical Measurement Error," IZA Discussion Papers 2327, Institute for the Study of Labor (IZA).
- Angrist, Joshua D. & Krueger, Alan B., 1999.
"Empirical strategies in labor economics,"
Handbook of Labor Economics,
in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366
- Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
- John Bound & Alan B. Krueger, 1989.
"The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?,"
NBER Working Papers
2885, National Bureau of Economic Research, Inc.
- Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
- Martha Stinson, 2004. "Estimating Measurement Error in SIPP Annual Job Earnings: A Comparison of Census Survey and SSA Administrative Data," Econometric Society 2004 North American Winter Meetings 123, Econometric Society.
- Francisca Antman & David J. McKenzie, 2007.
"Earnings Mobility and Measurement Error: A Pseudo-Panel Approach,"
Economic Development and Cultural Change,
University of Chicago Press, vol. 56, pages 125-161.
- Antman, Francisca & McKenzie, David J., 2005. "Earnings mobility and measurement error : a pseudo-panel approach," Policy Research Working Paper Series 3745, The World Bank.
- de Mel, Suresh & McKenzie, David J. & Woodruff, Christopher, 2009. "Measuring microenterprise profits: Must we ask how the sausage is made?," Journal of Development Economics, Elsevier, vol. 88(1), pages 19-31, January.
- Pischke, Jorn-Steffen, 1995.
"Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 13(3), pages 305-14, July.
- Pischke, J.S., 1994. "Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study," Working papers 94-01, Massachusetts Institute of Technology (MIT), Department of Economics.
- Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-32, October.
- Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July.
- Randall Akee, Devesh Kapur, 2012. "Remittances and Rashomon- Working Paper 285," Working Papers 285, Center for Global Development.
- Van-Ha Le & Jakob de Haan & Erik Dietzenbacher, 2013. "Do Higher Government Wages Reduce Corruption? Evidence Based on a Novel Dataset," CESifo Working Paper Series 4254, CESifo Group Munich.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If references are entirely missing, you can add them using this form.