eprintid: 43568
rev_number: 18
eprint_status: archive
userid: 1482
importid: 105
dir: disk0/00/04/35/68
datestamp: 2021-05-25 13:18:44
lastmod: 2024-11-04 09:53:32
status_changed: 2024-11-04 09:53:32
type: monograph
metadata_visibility: show
creators_name: Gaillac, Christophe
creators_name: Gautier, Éric
creators_id: eric.gautier@tse-fr.eu
creators_idrefppn: 255189605
creators_idrefppn: 09417699X
creators_affiliation: Toulouse School of Economics; UT1
creators_affiliation: Toulouse School of Economics; UT1
creators_halaffid: 1002422 ; 81148
creators_halaffid: 1002422 ; 81148
title: Non Parametric Classes for Identification in Random Coefficients Models when Regressors have Limited Variation
ispublished: pub
subjects: subjects_ECO
abstract: This paper studies point identification of the distribution of the coefficients in some random coefficients models with exogenous regressors when their support is a proper subset, possibly discrete but countable. We exhibit trade-offs between restrictions on the distribution of the random coefficients and the support of the regressors. We consider linear models including those with nonlinear transforms of a baseline regressor, with an infinite number of regressors and deconvolution, the binary choice model, and panel data models such as single-index panel data models and an extension of the Kotlarski lemma.
date: 2021-05
date_type: published
publisher: TSE Working Paper
official_url: http://tse-fr.eu/pub/125629
faculty: tse
divisions: tse
keywords: Identification
keywords: Random Coefficients
keywords: Quasi-analyticity
keywords: Deconvolution
language: en
has_fulltext: TRUE
view_date_year: 2021
full_text_status: public
monograph_type: working_paper
series: TSE Working Paper
volume: 21-1218
place_of_pub: Toulouse
pages: 31
institution: Université Toulouse 1 Capitole
department: Toulouse School of Economics.
book_title: TSE Working Paper
oai_identifier: oai:tse-fr.eu:125629
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oai_lastmod: 2024-06-26T14:38:10Z
oai_set: tse
site: ut1
citation:   Gaillac, Christophe <https://www.idref.fr/255189605> and Gautier, Éric <https://www.idref.fr/09417699X>  (2021) Non Parametric Classes for Identification in Random Coefficients Models when Regressors have Limited Variation.  TSE Working Paper, n. 21-1218, Toulouse     
document_url: https://publications.ut-capitole.fr/id/eprint/43568/1/wp_tse_1218.pdf