Asymptotic distribution of factor augmented estimators for panel regression
AbstractIn this paper we derive an asymptotic theory for linear panel regression augmented with estimated common factors. We give conditions under which the estimated factors can be used in place of the latent factors in the regression equation. For the principal components estimate of the factor space it is shown that these conditions are satisfied when T/N→0 and N/T3→0 under regularity. Monte Carlo studies verify the asymptotic theory.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 169 (2012)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/jeconom
Factor augmented panel regression; Factor augmented estimator; Principal component augmented estimator; Cross section dependence; Interactive fixed effects;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
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