Abstract
This paper gives a brief overview of recent developments in computation, estimation, and statistical testing of choice models, with marketing applications. Topics include statistical models for discrete panel data with heterogeneous decision-makers, simulation methods for estimation of high-dimension multinomial probit models, specification tests for model structure and for brand and purchase clustering, and innovations in numerical analysis for estimation and forecasting.
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In collaboration with Denis Bolduc, David Bunch, Michael Keane, Don Kridel, and Steve Stern.
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McFadden, D. Advances in computation, statistical methods, and testing of discrete choice models. Market Lett 2, 215–229 (1991). https://doi.org/10.1007/BF02404073
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DOI: https://doi.org/10.1007/BF02404073