Add to ORKGThis paper considers structural nonparametric random utility models for continuous choice variables. It provides sufficient conditions on random preferences to yield reduced-form systems of nonparametric stochastic demand functions that allow global invertibility between demands and random utility components. Invertibility is essential for global identification of structural consumer demand models, for the existence of well-specified probability models of choice and for the nonparametric analysis of revealed stochastic preference
This paper studies nonparametric identification in market level demand models for differentiated pro...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...
This paper considers structural nonparametric random utility models for continuous choice variables ...
This paper considers structural non-parametric random utility models for continuous choice vari-able...
This paper considers structural non-parametric random utility models for continuous choice variables...
This paper considers structural non-parametric random utility models for continuous choice variables...
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper is concerned with stochastic demand systems for continuous choices that arise from struct...
Multinomial choice and other nonlinear models are often used to estimate demand. We show how to nonp...
We consider identification of nonparametric random utility models of multinomial choice using “micro ...
We present new identification results for nonparametric models of differentiated products markets, u...
We model unobserved preference heterogeneity in demand systems as random Barten scales in utility fu...
This paper studies nonparametric identification in market level demand models for differentiated pro...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...
This paper considers structural nonparametric random utility models for continuous choice variables ...
This paper considers structural non-parametric random utility models for continuous choice vari-able...
This paper considers structural non-parametric random utility models for continuous choice variables...
This paper considers structural non-parametric random utility models for continuous choice variables...
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper considers structural nonparametric random utility models for continuous choice variables....
This paper is concerned with stochastic demand systems for continuous choices that arise from struct...
Multinomial choice and other nonlinear models are often used to estimate demand. We show how to nonp...
We consider identification of nonparametric random utility models of multinomial choice using “micro ...
We present new identification results for nonparametric models of differentiated products markets, u...
We model unobserved preference heterogeneity in demand systems as random Barten scales in utility fu...
This paper studies nonparametric identification in market level demand models for differentiated pro...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...
In this research, we provide a new method to estimate discrete choice models with unobserved heterog...