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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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Notes
Publication license
Publication series
Agricultural economics working paper series (Hohenheimer agrarökonomische Arbeitsberichte); 17
Published in
Faculty
Faculty of Agricultural Sciences
Institute
Institute of Agricultural Policy and Markets
Examination date
Supervisor
Edition / version
Citation
Identification
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
630 Agriculture
Original object
Free keywords
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@techreport{Staus2008,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/5214},
author = {Staus, Alexander},
title = {Standard and Shuffled Halton sequences in a Mixed Logit Model},
year = {2008},
school = {Universität Hohenheim},
series = {Agricultural economics working paper series (Hohenheimer agrarökonomische Arbeitsberichte)},
}