Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79657
Title: A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions
Authors: Bhat, CR 
Lavieri, PS
Keywords: Copula
Heterogeneity
MACML
Multinomial probit
Choice modeling
Issue Date: 2018
Publisher: Springer
Source: Theory and decision : an international journal for multidisciplinary advances in decision sciences, Mar. 2018, v. 84, no. 2, special issue, p. 239-275 How to cite?
Journal: Theory and decision : an international journal for multidisciplinary advances in decision sciences 
Abstract: In this paper, we propose a general copula approach to accommodate non-normal continuous mixing distributions in multinomial probit models. In particular, we specify a multivariate mixing distribution that allows different marginal continuous parametric distributions for different coefficients. A new hybrid estimation technique is proposed to estimate the model, which combines the advantageous features of each of the maximum simulated likelihood inference technique and Bhat's maximum approximate composite marginal likelihood inference approach. The effectiveness of our formulation and inference approach is demonstrated through simulation exercises and an empirical application.
URI: http://hdl.handle.net/10397/79657
ISSN: 0040-5833
DOI: 10.1007/s11238-017-9638-4
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