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Empirical Likelihood Estimation in Dynamic Panel Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Angelica Gonzalez ()
This paper proposes and analyses an hybrid of Owen.s (1988, 1990, 1991) Empirical Likelihood (EL) and bootstrap, EL-bootstrap, as an alternative to the General Method of Moments (GMM) within dynamic panel data models. We concentrate on the .nite-sample size properties of their over-identification tests. Our results show that EL-bootstrap may be a good alternative to GMM estimation within this setting. The practical usefulness of our findings is illustrated via application on an AR(1) univariate panel data model with individual e¤ects using the cash-flow series of 174 firms in the United States.
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Paper provided by Edinburgh School of Economics, University of Edinburgh in its series ESE Discussion Papers with number
168.
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Length: 40
Date of creation: 22 Aug 2007Date of revision:
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Jason Allen & Allan W. Gregory & Katsumi Shimotsu, 2008.
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