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Efficiency in Large Dynamic Panel Models with Common Factor

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Author Info

  • Patrick GAGLIARDINI

    (University of Lugano and Swiss Finance Institute)

  • Christian GOURIEROUX

    (CREST, CEPREMAP (Paris) and University of Toronto)

Abstract

This paper deals with efficient estimation in exchangeable nonlinear dynamic panel models with common unobservable factor. The specification accounts for both micro- and macro-dynamics, induced by the lagged individual observation and the common stochastic factor, respectively. For large cross-sectional and time dimensions, and under a semiparametric identification condition, we derive the efficiency bound and introduce efficient estimators for both the micro- and macro-parameters. In particular, we show that the fixed effects estimator of the micro-parameter is not only consistent, but also asymptotically efficient. The results are illustrated with the stochastic migration model for credit risk analysis.

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Bibliographic Info

Paper provided by Swiss Finance Institute in its series Swiss Finance Institute Research Paper Series with number 09-12.

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Length: 67 pages
Date of creation: Aug 2008
Date of revision: Mar 2009
Handle: RePEc:chf:rpseri:rp0912

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Web page: http://www.SwissFinanceInstitute.ch
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Related research

Keywords: Nonlinear Panel Model; Factor Model; Exchangeability; Systematic Risk; Efficiency Bound; Semi-parametric Efficiency; Fixed Effects Estimator; Bayesian Statistics; Stochastic Migration; Granularity;

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Cited by:
  1. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2014. "Disentangling Systematic and Idiosyncratic Dynamics in Panels of Volatility Measures," Econometrics Working Papers Archive 2014_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.

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