| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10327840 | Computational Statistics & Data Analysis | 2005 | 19 Pages |
Abstract
Three semi-parametric estimators for ordered response models are compared:Â a “semi-nonparametric” series estimator, an estimator based on a polynomial transformation to normality, and a least squares estimator for a transformed dependent variable. The empirical estimates are found to differ markedly across estimators in a job satisfaction illustration presented, but much less so in the second illustration, a model of willingness to pay for environmental protection. Monte Carlo evidence comparing the three estimators is also presented.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Mark B. Stewart,