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Quasi-random simulation of discrete choice models

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Author Info
Sándor, Zsolt
Train, Kenneth

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Abstract

We describe the properties of (t,m,s)-nets and Halton draws. Four types of (t,m,s)-nets, two types of Halton draws, and independent draws are compared in an application of maximum simulated likelihood estimation of a mixed logit model. All of the quasi-random procedures are found to perform far better than independent draws. The best performance is attained by one of the (t,m,s)-nets. The properties of the nets imply that two of them should outperform the other two, and our results confirm this expectation. The two more-accurate nets perform better than both types of Halton draws, while the two less-accurate nets perform worse than the Halton draws.

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File URL: http://www.sciencedirect.com/science/article/B6V99-48CWX68-1/2/668fe2ee5ef9e195e31bb77d54e0ab56
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Publisher Info
Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 38 (2004)
Issue (Month): 4 (May)
Pages: 313-327
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Handle: RePEc:eee:transb:v:38:y:2004:i:4:p:313-327

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  1. Z. Sandor & P. Andras, 2003. "Alternative sampling methods for estimating multivariate normal probabilities," Econometric Institute Report 305, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  2. Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2006. "A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan," Discussion Papers in Economics and Business 06-05, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP). [Downloadable!]
  3. Alexander Staus, 2008. "Standard and Shuffled Halton Sequences in a Mixed Logit Model," Hohenheimer Agrarökonomische Arbeitsberichte 17, University of Hohenheim, Institute for Agricultural Policy and Agricultural Markets. [Downloadable!]
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