Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/121797
Authors: 
Staus, Alexander
Year of Publication: 
2008
Series/Report no.: 
Hohenheimer Agrarökonomische Arbeitsberichte 17
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.
Subjects: 
simulation
mixed logit
halton sequence
JEL: 
C15
C25
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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