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Attrition Bias in Econometric Models Estimated with Panel Data

Russell S. Winer

Open publisher page 41 citations

Abstract

Panel data often are used to estimate the parameters of econometric or other linear models. However, a common problem with panel data is attrition. The author demonstrates the effects of attrition on the parameters of structural econometric models estimated with panel data, and describes and empirically illustrates correction methods. Implications for the operation of panels also are discussed.

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What this paper is about

Panel data often are used to estimate the parameters of econometric or other linear models. However, a common problem with panel data is attrition. The author demonstrates the effects of attrition on the parameters of structural econometric models estimated with panel data, and describes and empirically illustrates correction methods. Implications for the operation of panels also are discussed.

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OpenAlex reports 41 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Panel data often are used to estimate the parameters of econometric or other linear models. However, a common problem with panel data is attrition. The author demonstrates the effects of attrition on the parameters of structural econometric models estimated with panel data, and describes and empirically illustrates correction methods. Implications for the operation of panels also are discussed.

Key concepts: Attrition, Panel data, Econometrics, Econometric model, Economics, Econometric analysis, Statistics, Computer science

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