A solution to the ecological inference problem : reconstructing individual behavior from aggregate data /
This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys...
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| Formato: | Licensed eBooks |
| Idioma: | inglês |
| Publicado em: |
Princeton, NJ :
Princeton University Press
[1997]
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| Acesso em linha: | https://www.jstor.org/stable/10.2307/j.ctt46n43p |
Sumário:
- pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem
- pt. II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems
- pt. III. The Proposed Solution. 5. The Data: Generalizing the Method of Bounds. 6. The Model. 7. Preliminary Estimation. 8. Calculating Quantities of Interest. 9. Model Extensions
- pt. IV. Verification. 10. A Typical Application Described in Detail: Voter Registration by Race. 11. Robustness to Aggregation Bias: Poverty Status by Sex. 12. Estimation without Information: Black Registration in Kentucky. 13. Classic Ecological Inferences
- pt. V. Generalizations and Concluding Suggestions. 14. Non-Ecological Aggregation Problems. 15. Ecological Inference in Larger Tables. 16. A Concluding Checklist
- App. A. Proof That All Discrepancies Are Equivalent
- App. B. Parameter Bounds
- App. C. Conditional Posterior Distribution
- App. D. The Likelihood Function.