A Semi-parametric Estimation of a Structural Misclassification Model
نویسنده
چکیده
This study extends the parametric estimation of the structural misclassification model (Arrieta, 2008) to analyze over-treatment of medical procedures to a semi-parametric estimation. The estimation is based on a doubleindex semi-parametric maximum likelihood with partial observability. The document shows that misspecification error due to an incorrect assumption about the error distribution may lead to an important inconsistency in parametric estimates, thus justifying the use of a semi-parametric technique to support results. Both models, the parametric and semi-parametric, are compared using a Monte Carlo study and also using a sub-sample of cesarean section deliveries in New Jersey 2000.
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