Observed Information in Semiparametric Models

We discuss the estimation of the asymptotic covariance matrix of semiparametric maximum likelihood estimators by the observed proole information. We show that a dis-cretized version of the second derivative of the proole likelihood function yields consistent estimators of minus the eecient information matrix.

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