Lavergne, Pascal (1998) Selection of Regressors in Econometrics: Parametric and Nonparametric Methods. Econometric Reviews, vol.17 (n°3). pp. 227-273.
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Official URL : http://tse-fr.eu/pub/126301
Identification Number : 10.1080/07474939808800415
Abstract
The present paper addresses the selection-of-regressors issue into a general discrimination framework. We show how this framework is useful in unifying various procedures for selecting regressors and helpful in understanding the different strategies underlying these procedures. We review selection of regressors in linear, nonlinear and nonparametric regression models. In each case we successively consider model selection criteria and hypothesis testing procedures.
Item Type: | Article |
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Language: | English |
Date: | 1998 |
Refereed: | Yes |
Place of Publication: | New York |
Uncontrolled Keywords: | Selection of regressor, Discrimination |
JEL Classification: | C20 - General C52 - Model Evaluation and Selection |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 05 Jan 2022 17:17 |
Last Modified: | 05 Jan 2022 17:17 |
OAI Identifier: | oai:tse-fr.eu:126301 |
URI: | https://publications.ut-capitole.fr/id/eprint/44138 |