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Panel Data Models with Multiple Time-Varying Individual Effects

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Author Info
Seung C. Ahn () (Dept. of Economics, W.P. Carey School of Business, Arizona State University, Tempe, AZ 85287)
Young H. Lee (Hansung University)
Peter Schmidt (Michigan State University)

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Abstract

This paper considers a panel data model with time-varying individual effects. The data are assumed to contain a large number of cross-sectional units repeatedly observed over a fixed number of time periods. The model has a feature of the fixed-effects model in that the effects are assumed to be correlated with the regressors. The unobservable individual effects are assumed to have a factor structure. For consistent estimation of the model, it is important to estimate the true number of factors. We propose a generalized methods of moments procedure by which both the number of factors and the regression coefficients can be consistently estimated. Some important identification issues are also discussed. Our simulation results indicate that the proposed methods produce reliable estimates.

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Publisher Info
Paper provided by University of Crete, Department of Economics in its series Working Papers with number 0702.

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Length: 43 pages
Date of creation: 00 Oct 2006
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Handle: RePEc:crt:wpaper:0702

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Related research
Keywords: panel data; time-varying individual effects; factor models;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity

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References listed on IDEAS
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Perez, Marcos & Ahn, Seung Chan, 2007. "GMM Estimation of the Number of Latent Factors," MPRA Paper 4862, University Library of Munich, Germany. [Downloadable!]
  3. Yongcheol Shin, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 16(1), pages 52-55, May. [Downloadable!] (restricted)
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