Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models.

This article provides a unified framework for studying the identification of counterfactual parameters in a general class of discrete outcome models, allowing for endogenous regressors and multidimensional latent variables, all without parametric distributional assumptions. Our main theoretical resu...

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Detalles Bibliográficos

Publicado en:	Review of Economic Studies Vol. 93; no. 3; pp. 1847 - 1889
Autores principales:	Gu, Jiaying, Russell, Thomas M, Stringham, Thomas
Formato:	Artículo
Publicado:	Oxford University Press / USA May2026
Materias:	Latent variables Discrete choice models Algorithms Linear programming Nonparametric statistics Counterfactuals (Logic) Hyperplanes
Acceso en línea:	Ver este registro en EBSCOhost