Performing and interpreting discrete choice analyses in Stata

Joerg Luedicke
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Joerg Luedicke: StataCorp

German Stata Users' Group Meetings 2019 from Stata Users Group

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.

Date: 2019-07-10
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Persistent link: https://EconPapers.repec.org/RePEc:boc:dsug19:10

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