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A Semiparametric Maximum Likelihood Estimator

  • Chunrong Ai

A maximum likelihood estimator for models containing nuisance parameters is proposed. The estimator is shown to be asymptotically normal and attain the semiparametric efficiency bounds for a number of important econometric models. The idea is to find a parametric model that passes through the true model. The score for the parametric model is then estimated nonparametrically and the estimator is obtained by setting the estimated score to zero.

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Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 65 (1997)
Issue (Month): 4 (July)
Pages: 933-964

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Handle: RePEc:ecm:emetrp:v:65:y:1997:i:4:p:933-964
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