A foundational treatment of discrete choice models, with a focus on random utility models
- Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets
- Substantial set of exercises and problems at the end of each chapter
- Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples
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