Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects
AbstractThis 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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Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society 2004 Far Eastern Meetings with number 519.
Date of creation: 11 Aug 2004
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GMM; fixed effects; factor model; time-varying individual effects;
Other versions of this item:
- Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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