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Performing and interpreting discrete choice analyses in Stata

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  • Joerg Luedicke

    (StataCorp)

Abstract

Discrete choice models are used across many disciplines to analyze choices made by individuals or other decision-making entities. Stata supports many discrete choice models, such as multinomial logit and mixed logit models. While applying these models to a given dataset can be straightforward, it is often challenging to interpret their results. In this presentation, I will provide an overview of Stata's discrete choice modeling capabilities and show how to use postestimation commands to get the most out of these models and their interpretation.

Suggested Citation

  • Joerg Luedicke, 2019. "Performing and interpreting discrete choice analyses in Stata," German Stata Users' Group Meetings 2019 10, Stata Users Group.
    • Handle: RePEc:boc:dsug19:10
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