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Abstract (English)
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.
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Publication series
Agricultural economics working paper series (Hohenheimer agrarökonomische Arbeitsberichte); 17
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Faculty of Agricultural Sciences
Institute
Institute of Agricultural Policy and Markets
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English
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630 Agriculture