Table of Contents
- Introduction and Overview
- Statistical Aspects of Experimental Design in Experimental Econometrics
- Treatment Testing
- Theory Testing, Regression and Dependence
- Modelling of Decision Times using Regression Analysis
- Dealing with Discreteness in Experimental Data
- Ordinal Data in Experimetrics
- Dealing with Heterogeneity: Finite Mixture Models
- Simulating Experimental Data, and the Monte-Carlo Method
- Introduction to the Method of Maximum Simulated Likelihood
- Dealing with Zeros: Hurdle Models
- Choice under Risk: Theoretical Issues
- Choice under Risk: Econometric Modelling
- Optimal Design in Binary Choice Experiments
- Social Preference Models
- Repeated Games and Quantal Response Models
- Depth of Reasoning Models
- Learning Models
- Summary and Conclusion
Appendix B: List of STATA Commands
Appendix C: Choice Problems used in Chapters 5 and 13
References