Nonparametric Regression With A Parametric Start for Binary Response Models
Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
In the last few decades the econometric literature has generated a number of parametric, nonparametric, and semiparametric methods for solving binary response models. These procedures differ in the relative strength of their assumptions, convergence rates, consistency, efficiency, and prediction. This paper considers an estimator that assumes a parametric start and then couples with a nonparametric correction factor. This model is compared with parametric estimators of the link function on a Monte Carlo study and an application using data from Spector and Masseo (1980) on effects of new teaching methods in economics on student grades.Type
Thesis-Reproduction (electronic)text
Degree Name
M.S.Degree Level
mastersDegree Program
Agricultural and Resource EconomicsGraduate College