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Power properties of the Sargan test in the presence of measurement errors in dynamic panels

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  • Matz Dahlberg
  • Eva Mork
  • Per Tovmo

Abstract

This article investigates the power properties of the Sargan test in the presence of measurement errors in dynamic panel data models. The conclusion from Monte Carlo (MC) simulations and an application on the data used by Arellano and Bond (1991), is that in the very likely case of measurement errors in either the dependent or any of the independent variables, we will, if we rely on the Sargan test, quite likely accept a misspecified model and end up with biased results.

Suggested Citation

  • Matz Dahlberg & Eva Mork & Per Tovmo, 2008. "Power properties of the Sargan test in the presence of measurement errors in dynamic panels," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 349-353.
    • Handle: RePEc:taf:apeclt:v:15:y:2008:i:5:p:349-353
    DOI: 10.1080/13504850500447414
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    1. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    2. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    3. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
    4. Clive Bowsher, 2000. "On Testing Overidentifying Restrictions in Dynamic Panel Data Models," Economics Series Working Papers 2000-W28, University of Oxford, Department of Economics.
    5. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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