Robust Semiparametric Estimation in Panel Multinomial Choice Models

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Date

31 août 2020

Type de document
Périmètre
Identifiant
  • 2009.00085
Collection

arXiv

Organisation

Cornell University




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Wayne Yuan Gao et al., « Robust Semiparametric Estimation in Panel Multinomial Choice Models », arXiv - économie


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This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved heterogeneity. Our identification strategy exploits multivariate monotonicity in parametric indexes, and uses the logical contraposition of an intertemporal inequality on choice probabilities to obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of our method with simulations and an empirical illustration with the Nielsen data.

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