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Quasi Empirical Likelihood Estimation of Moment Condition Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Shane M. Sherlund
In this paper, I develop a quasi empirical likelihood estimator that has good finite-sample properties when there are many moment conditions. I show that the quasi empirical likelihood estimator, which uses semiparametric efficient estimation, is an approximation to the empirical likelihood estimator, which has been shown to have good statistical properties. The quasi empirical likelihood estimator is a consistent estimator and has a normal asymptotic distribution. As with the full-blown empirical likelihood estimator, the quasi empirical likelihood estimator reduces finite-sample bias, but is much simpler to compute than the empirical likelihood estimator. Monte Carlo experiments and a quick validation exercise confirm my theoretical results
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Paper provided by Econometric Society in its series Econometric Society 2004 North American Summer Meetings with number
507.
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Date of creation: 11 Aug 2004Date of revision:
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Keywords: GMM ; empirical likelihood ; finite-sample bias ; instrumental variables ; Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
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