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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...
| Autor principal: | |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton, NJ :
Princeton University Press,
[1997]
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 035 | |a (OCoLC)857769636 | ||
| 040 | |a MdBmJHUP |c MdBmJHUP | ||
| 100 | 1 | |a King, Gary, |d 1958- |e author. | |
| 245 | 1 | 2 | |a A Solution to the Ecological Inference Problem : |b Reconstructing Individual Behavior from Aggregate Data / |c Gary King. |
| 264 | 1 | |a Princeton, NJ : |b Princeton University Press, |c [1997] | |
| 264 | 3 | |a Baltimore, Md. : |b Project MUSE, |c 2015 | |
| 264 | 4 | |c ©[1997] | |
| 300 | |a 1 online resource (346 pages): |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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 are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique - and reliable - solution to this venerable problem. | ||
| 546 | |a English. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | 7 | |a Interferenz (Ökologie) |2 swd |
| 650 | 0 | 7 | |a Interferenz. |2 swd |
| 650 | 0 | 7 | |a Umweltschutz. |2 swd |
| 650 | 1 | 7 | |a Politieke wetenschappen. |2 gtt |
| 650 | 1 | 7 | |a Aggregatie. |2 gtt |
| 650 | 7 | |a Interferenz |g Ökologie |2 gnd | |
| 650 | 7 | |a Interferenz |2 gnd | |
| 650 | 7 | |a Umweltschutz |2 gnd | |
| 650 | 7 | |a Political statistics. |2 fast |0 (OCoLC)fst01069894 | |
| 650 | 7 | |a Inference. |2 fast |0 (OCoLC)fst00972355 | |
| 650 | 7 | |a POLITICAL SCIENCE |x History & Theory. |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE |x Reference. |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE |x Government |x National. |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE |x Government |x General. |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE |x Essays. |2 bisacsh | |
| 650 | 6 | |a Inference (Logique) | |
| 650 | 6 | |a Science politique |x Methodes statistiques. | |
| 650 | 0 | |a Inference. | |
| 650 | 0 | |a Political statistics. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 710 | 2 | |a Project Muse. |e distributor | |
| 830 | 0 | |a Book collections on Project MUSE. | |
| 856 | 4 | 0 | |z Texto completo |u https://projectmuse.uam.elogim.com/book/34887/ |
| 945 | |a Project MUSE - Custom Collection | ||
| 945 | |a Project MUSE - Archive Complete Supplement III | ||
| 945 | |a Project MUSE - Archive Ecology and Evolution Supplement II | ||