Arbeitspapier

An instrumental variable random coefficients model for binary outcomes

In this paper we study a random coefficient model for a binary outcome. We allow for the possibility that some or even all of the regressors are arbitrarily correlated with the random coefficients, thus permitting endogeneity. We assume the existence of observed instrumental variables Z that are jointly independent with the random coefficients, although we place no structure on the joint determination of the endogenous variable X and instruments Z, as would be required for a control function approach. The model fits within the spectrum of generalized instrumental variable models studied in Chesher and Rosen (2012a), and we thus apply identification results from that and related studies to the present context, demonstrating their use. Specifically, we characterize the identi.ed set for the distribution of random coefficients in the binary response model with endogeneity via a collection of conditional moment inequalities, and we investigate the structure of these sets by way of numerical illustration.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP34/12

Klassifikation
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Semiparametric and Nonparametric Methods: General
Econometric Modeling: General
Model Construction and Estimation
Thema
random coefficients
instrumental variables
endogeneity
incomplete models
set identification
partial identification
random sets

Ereignis
Geistige Schöpfung
(wer)
Chesher, Andrew
Rosen, Adam M.
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2012

DOI
doi:10.1920/wp.cem.2012.3412
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Chesher, Andrew
  • Rosen, Adam M.
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2012

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