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Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects

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Author Info
Peter Schmidt
Chirok Han
Luis Orea

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Abstract

This paper considers models with time-varying individual effects (also known as factor models). The paper extends Ahn, Lee and Schmidt, Journal of Econometrics, 2001 and Bai, Econometrica, 2003 to allow a parametric function of time for the time factor. It provides a fixed-effects treatment of random effects models suggested by Kumbhakar and by Battese and Coelli for the frontier production function problem. The paper presents a number of GMM estimators based on assumptions of different strengths. Least squares has unusual properties: consistency depends on white noise errors, and given white noise errors it is less efficient than a GMM estimator. The model is applied to the measurement of the cost efficiency of Spanish banks

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Publisher Info
Paper provided by Econometric Society in its series Econometric Society 2004 Far Eastern Meetings with number 519.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:feam04:519

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Related research
Keywords: GMM fixed effects factor model time-varying individual effects

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Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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This page was last updated on 2008-9-25.


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