Standard and Shuffled Halton Sequences in a Mixed Logit Model

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Hohenheimer Agrarökonomische Arbeitsberichte ; No. 17

Classification and Topics

• Classification: Wirtschaft ; Statistical Simulation Methods: General ; Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
• Subject: simulation ; mixed logit ; halton sequence ; Logit-Modell ; Simulation ; Konsumentenverhalten ; Diskrete Entscheidung ; Theorie ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Staus, Alexander
• Event: Veröffentlichung
• (who): Universität Hohenheim, Institut für Agrarpolitik und Landwirtschaftliche Marktlehre
• (where): Stuttgart
• (when): 2008

Further information

• Handle: http://hdl.handle.net/10419/121797
• URN: urn:nbn:de:bsz:100-opus-3245
• Last update: 10.03.2025, 11:42 AM CET