Contents

• 1. Introduction
• 2. Causal and non-causal models
• 3. Microeconomic data structures
• 4. Linear models
• 5. ML and NLS estimation
• 6. GMM and systems estimation
• 7. Hypothesis tests
• 8. Specification tests and model selection
• 9. Semiparametric methods
• 10. Numerical optimization
• 11. Bootstrap methods
• 12. Simulation-based methods
• 13. Bayesian methods
• 14. Binary outcome models
• 15. Multinomial models
• 16. Tobit and selection models
• 17. Transition data: survival analysis
• 18. Mixture models and unobserved heterogeneity
• 19. Models of multiple hazards
• 20. Models of count data
• 21. Linear panel models: basics
• 22. Linear panel models: extensions
• 23. Nonlinear panel models
• 24. Stratified and clustered samples
• 25. Treatment evaluation
• 26. Measurement error models
• 27. Missing data and imputation
• A. Asymptotic theory
• B. Making pseudo-random draw