Arbeitspapier

Simultaneous equations models for discrete outcomes: Coherence, completeness, and identification

This paper studies simultaneous equations models for two or more discrete outcomes. These models may be incoherent, delivering no values of the outcomes at certain values of the latent variables and covariates, and they may be incomplete, delivering more than one value of the outcomes at certain values of the covariates and latent variates. We revisit previous approaches to the problems of incompleteness and incoherence in such models, and we propose a new approach for dealing with these. For each approach, we use random set theory to characterize sharp identification regions for the marginal distribution of latent variables and the structural function relating outcomes to covariates, illustrating the relative identifying power and tradeoffs of the different approaches. We show that these identified sets are characterized by systems of conditional moment equalities and inequalities, and we provide a generically applicable algorithm for constructing these. We demonstrate these results for the simultaneous equations model for binary outcomes studied in for example Heckman (1978) and Tamer (2003) and the triangular model with a discrete endogenous variable studied in Chesher (2005) and Jun, Pinkse, and Xu (2011) as illustrative examples.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP21/12

Klassifikation
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Semiparametric and Nonparametric Methods: General
Econometric Modeling: General
Model Construction and Estimation
Thema
Discrete endogenous variables
Endogeneity
Incomplete models
Incoherent models
Instrumental variables
Simultaneous equations models
Set Identification
Structural econometrics

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.2012.2112
Handle
Letzte Aktualisierung
10.03.2025, 11:43 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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