Standard and Shuffled Halton Sequences in a Mixed Logit Model

Alexander Staus ()

No 17, Hohenheimer Agrarökonomische Arbeitsberichte from University of Hohenheim, Institute for Agricultural Policy and Agricultural Markets

Abstract: Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have no closed-form expression. They include multi-dimensional integrals which can not be solved analytically. Simulation methods have been developed to approximate a solution for these integrals. This paper describes the Standard Halton sequence and a modification of it, the Shuffled Halton sequence. Both are simulation methods which can reduce computational effort compared to a random sequence. We compare the simulation methods in their coverage of the multi-dimensional area and in their estimation results using data of consumer choice on grocery store formats.

Keywords: simulation; mixed logit; halton sequence (search for similar items in EconPapers)
JEL-codes: C15 C25 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2008-09
New Economics Papers: this item is included in nep-cmp, nep-dcm and nep-ecm
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Related works:
Working Paper: Standard and Shuffled Halton Sequences in a Mixed Logit Model (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:hoh:hoh420:17

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