Using a heterogeneous multinomial probit model with a neural net extension to model brand choice

DOI to cite this document:: 10.5283/epub.160

Hruschka, Harald

PDF
(202kB) - Repository staff only

Date of publication of this fulltext: 05 Aug 2009 13:22

Alternative links to fulltext:DOI

Details

Indexed in

Export bibliographical data

Abstract

The multinomial probit model introduced here combines heterogeneity across households with flexibility of the (deterministic) utility function. To achieve flexibility deterministic utility is approximated by a neural net of the multilayer perceptron type. A Markov Chain Monte Carlo method serves to estimate heterogeneous multinomial probit models which fulfill economic restrictions on signs of ...