This document discusses discrete choice modeling and its applications in R. It introduces discrete choice models like logit, conditional logit, and mixed logit. It provides an example of using a mixed logit model to analyze choices between different fishing modes. Parameters are estimated using the mlogit package in R. Marginal effects are also calculated to analyze how changes in variables like price and catch affect choice probabilities. The document recommends R packages for discrete choice modeling and provides a link to further lecture materials on the topic.

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 http://www.econ.hit-u.ac.jp/~bessho/lecture/
09/091021discrete.pdf