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The order of variables, simulation noise, and accuracy of mixed logit estimates. (2020). Vedenov, Dmitry ; Palma, Marco ; Bessler, David.
In: Empirical Economics.
RePEc:spr:empeco:v:58:y:2020:i:5:d:10.1007_s00181-018-1609-2.

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  1. Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment. (2025). Jumamyradov, Maksat ; Craig, Benjamin M ; Greene, William H ; Munkin, Murat.
    In: Computational Economics.
    RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10637-x.

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  2. Biases in the Maximum Simulated Likelihood Estimation of the Mixed Logit Model. (2024). Munkin, Murat ; Greene, William H ; Jumamyradov, Maksat ; Craig, Benjamin M.
    In: Econometrics.
    RePEc:gam:jecnmx:v:12:y:2024:i:2:p:8-:d:1365210.

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  3. How does policy awareness impact consumer preferences for passenger vehicles? A study from China. (2024). Galaskiewicz, Joseph ; Zhi, Ruizhi ; Yang, Jue.
    In: Transport Policy.
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  4. Valuing the Impacts of Landslides: A Choice Experiment Approach. (2022). Ek, Kristina ; Spegel, Elin.
    In: Economics of Disasters and Climate Change.
    RePEc:spr:ediscc:v:6:y:2022:i:1:d:10.1007_s41885-021-00101-7.

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  5. Promoting Food Safety in Local Value Chains: The Case of Vegetables in Vietnam. (2021). Van den Broeck, Goedele ; Enthoven, Laura.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:12:p:6902-:d:577458.

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References

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  20. Train K (2000) Halton sequences for mixed logit. Department of Economics, UCB, Berkeley.

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