Panel regression with multiplicative measurement errors

The paper explores the effect of multiplicative measurement errors on the estimation of a linear panel data model. Multiplicative errors are often used to minimize disclosure risk of micro data. We use unbiased estimating equations to construct consistent and asymptotically normal estimators. ► The...

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Veröffentlicht in:Economics letters 2011-02, Vol.110 (2), p.136-139
Hauptverfasser: Ronning, Gerd, Schneeweiss, Hans
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container_title Economics letters
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creator Ronning, Gerd
Schneeweiss, Hans
description The paper explores the effect of multiplicative measurement errors on the estimation of a linear panel data model. Multiplicative errors are often used to minimize disclosure risk of micro data. We use unbiased estimating equations to construct consistent and asymptotically normal estimators. ► The paper focuses on multiplicative errors. ► Such errors are added to the data in order to minimize the disclosure risk. ► Multiplicative errors are often used to minimize disclosure risk of micro data. ► In the US Longitudinal Employer-Household Dynamics Program this approach is used. ► Our corrected estimator provides consistent estimates for such anonymized data sets.
doi_str_mv 10.1016/j.econlet.2010.11.002
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1873-7374
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subjects Asymptotic variance
Bias correction
Disclosure control
Error
Estimation
Linear models
Measurement
Multiplicative measurement errors
Panel data
Panel regression
Panel regression Multiplicative measurement errors Bias correction Asymptotic variance Disclosure control
title Panel regression with multiplicative measurement errors
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