The Smooth Colonel and the Reverend Find Common Ground
A class of kernel regression estimators is developed for a broad class of hierarchical models including the pooled regression estimator, the fixed-effect model familiar from panel data, etc. Separate shrinking is allowed for each coefficient. Regressors may be continuous or discrete. The estimator is motivated as an intuitive and appealing generalization of existing methods. It is then supported by demonstrating that it can be realized as a posterior mean in the Lindley & Smith (1972) framework. The model is extended to nonparametric hierarchical regression based on B-splines.
Year of publication: |
2013-01
|
---|---|
Authors: | Kiefer, Nicholas M. ; Racine, Jeffrey S. |
Institutions: | Department of Economics, McMaster University |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Local Polynomial Derivative Estimation: Analytic or Taylor?
Racine, Jeffrey S., (2015)
-
Information Measures for Nonparametric Kernel Estimation
Beheshti, Neshat, (2015)
-
Aid and Economic Growth: A Robust Approach
Gyimah-Brempong, Kwabena, (2014)
- More ...