Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study
Jorn-Steffen Pischke
Journal of Business & Economic Statistics, 1995, vol. 13, issue 3, 305-14
Abstract:
Previous empirical work on measurement error in survey earnings data has shown that the variance of the measurement error is roughly constant over time, it is negatively correlated with true earnings, and it is autocorrelated with previous measurement errors. This paper proposes a simple model where the measurement error stems from underreporting of transitory earnings fluctuations and a white noise component. The model fits well to data from the PSID Validation Study. The results imply that autocorrelations in the changes of earnings can be estimated relatively accurately despite the presence of measurement error.
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (141)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study (1994)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:13:y:1995:i:3:p:305-14
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().