Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study

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Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study

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Pischke, Jorn-Steffen

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Jorn-Steffen Pischke

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.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 13 (1995)
Issue (Month): 3 (July)
Pages: 305-14
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Handle: RePEc:bes:jnlbes:v:13:y:1995:i:3:p:305-14

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Paper
- 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.

Cited by:
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