Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - 2011 - JSTOR
Although the multinomial (or conditional) logit model (MNL) has been the standard in discr
choice econometrics for over 30 years, people have long questioned the restrictiveness of …
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[引用][C] Mixed logit models: accuracy and software choice

JB Chang, J Lusk - Journal of Applied Econometrics, 2011 - econpapers.repec.org
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[引用][C] Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - Journal of Applied Econometrics, 2011 - Wiley Online Library
Although the multinomial (or conditional) logit model (MNL) has been the standard in
discretechoice econometrics for over 30 years, people have long questioned the …

[引用][C] Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - Journal of Applied Econometrics, 2011 - ideas.repec.org
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[PDF][PDF] MIXED LOGIT MODELS: ACCURACY AND SOFTWARE CHOICE

JAEB CHANG, JL LUSK - J. Appl. Econ, 2011 - academia.edu
Although the multinomial (or conditional) logit model (MNL) has been the standard in
discretechoice econometrics for over 30 years, people have long questioned the …

[引用][C] Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - Journal of Applied Econometrics, 2011 - infona.pl
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Mixed logit models: accuracy and software choice.

JB Chang, JL Lusk - Journal of Applied Econometrics, 2011 - search.ebscohost.com
The article presents a study which investigates the accuracy of mixed logit (ML) models in
several popular econometric software packages. It compares ML estimation routines on …

[引用][C] Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - Journal of Applied Econometrics, 2010 - cir.nii.ac.jp
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