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An instrumental variable model of multiple discrete choice
Chesher, Andrew; Rosen, Adam M.; Smolinski, Konrad - In: Quantitative economics : QE ; journal of the … 4 (2013) 2, pp. 157-196
This paper studies identification in multiple discrete choice models in which there may be endogenous explanatory … the model delivers set identification of latent utility functions and the distribution of unobserved heterogeneity, and we …
Persistent link: https://www.econbiz.de/10011757046
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Econometric modeling of interdependent discrete choice with applications to market structure
Chesher, Andrew; Rosen, Adam M. - 2020
This paper demonstrates the use of bounds analysis for empirical models of market structure that allow for multiple equilibria. From an econometric standpoint, these models feature systems of equalities and inequalities for the determination of multiple endogenous interdependent discrete choice...
Persistent link: https://www.econbiz.de/10012225881
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The effect of a child on female work when family planning may fail
Lavado, Pablo - 2014
Persistent link: https://www.econbiz.de/10011408220
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An instrumental variable model of multiple discrete choice
Chesher, Andrew; Rosen, Adam M.; Smolinski, Konrad - 2011
This paper studies identification of latent utility functions in multiple discrete choice models in which there may be … the model delivers set, not point, identification of the latent utility functions and we characterize sharp bounds on …
Persistent link: https://www.econbiz.de/10008842214
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Sharp identified sets for discrete variable IV models
Chesher, Andrew; Smolinski, Konrad - 2010
Instrumental variable models for discrete outcomes are set, not point, identifying. The paper characterises identi.ed sets of structural functions when endogenous variables are discrete. Identi.ed sets are unions of large numbers of convex sets and may not be convex nor even connected. Each of...
Persistent link: https://www.econbiz.de/10003989956
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An instrumental variable model of multiple discrete choice
Chesher, Andrew; Rosen, Adam M.; Smolinski, Konrad - 2011
This paper studies identification of latent utility functions in multiple discrete choice models in which there may be … the model delivers set identification of the latent utility functions and we characterize sharp bounds on those functions … identification ; random sets ; multiple discrete choice ; endogeneity ; instrumental variables ; incomplete models …
Persistent link: https://www.econbiz.de/10009419324
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A Bayesian Instrumental Variable Model for Multinomial Choice with Correlated Alternatives
Watanabe, Hajime; Maruyama, Takuya - 2022
Endogeneity and correlated alternatives are major concerns to be addressed in travel behavior analysis. However, these issues have been rarely dealt with simultaneously in advanced discrete choice models. This study proposed a multinomial probit model that incorporates the instrumental variable...
Persistent link: https://www.econbiz.de/10014081820
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Treatment effects with targeting instruments
Lee, Sokbae; Salanié, Bernard - 2024
Multivalued treatments are commonplace in applications. We explore the use of discrete-valued instruments to control for selection bias in this setting. Our discussion revolves around the concept of targeting: which instruments target which treatments. It allows us to establish conditions under...
Persistent link: https://www.econbiz.de/10015149594
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The endogenous grid method for discrete-continuous dynamic choice models with (or without) taste shocks
Iskhakov, Fedor; Jørgensen, Thomas H.; Rust, John; … - In: Quantitative economics : QE ; journal of the … 8 (2017) 2, pp. 317-365
We present a fast and accurate computational method for solving and estimating a class of dynamic programming models with discrete and continuous choice variables. The solution method we develop for structural estimation extends the en- dogenous grid-point method (EGM) to discrete-continuous...
Persistent link: https://www.econbiz.de/10011801539
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Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models
Aguirregabiria, Victor - 2016
We derive marginal conditions of optimality (i.e., Euler equations) for a general class of Dynamic Discrete Choice (DDC) structural models. These conditions can be used to estimate structural parameters in these models without having to solve for or approximate value functions. This result...
Persistent link: https://www.econbiz.de/10013007482