discrete_choice

This document provides comprehensive guidance on discrete choice models in statsmodels, including binary, multinomial, count, and ordinal models.

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Content

# Discrete Choice Models Reference

This document provides comprehensive guidance on discrete choice models in statsmodels, including binary, multinomial, count, and ordinal models.

## Overview

Discrete choice models handle outcomes that are:
- **Binary**: 0/1, success/failure
- **Multinomial**: Multiple unordered categories
- **Ordinal**: Ordered categories
- **Count**: Non-negative integers

All models use maximum likelihood estimation and assume i.i.d. errors.

## Binary Models

### Logit (Logistic Regression)

Uses logistic distribution for binary outcomes.

**When to use:**
- Binary cla

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