Identification for prediction and decision /
This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions...
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Format: | Book |
Language: | English |
Published: |
Cambridge, Mass. :
Harvard University Press,
2007
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Subjects: |
- Contenido: Preface
- Introduction
- 1. Prediction with incomplete data: 1. Conditional prediction
- 2. Missing outcomes
- 3. Instrumental variables
- 4. Parametric prediction
- 5. Decomposition of mixtures
- 6. Response-based sampling
- 2. Analysis of treatment response: 7. The selection problem
- 8. Linear simultaneous equations
- 9. Monotone treatment response
- 10. The mixing problem
- 11. Planning under ambiguity
- 12. Planning with sample data
- 3. Predicting choice behavior: 13. Revealed preference analysis
- 14. Measuring expectations
- 15. Studying human decision processes
- References
- Author index
- Subject index.