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Quasi-random simulation of discrete choice models

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Author Info
Sándor, Z.
Train, K. (Erasmus Econometric Institute)

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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://hdl.handle.net/1765/1829
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Publisher Info
Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number EI 2004-51 Revision_Date: 2009-07-29.

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Date of creation: 20 Dec 2004
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Handle: RePEc:dgr:eureir:1765001829

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  1. 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!]
  2. 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!]
  3. Z. Sandor & P. Andras, 2003. "Alternative sampling methods for estimating multivariate normal probabilities," Econometric Institute Report 305, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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This page was last updated on 2009-12-9.

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