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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: King, Gary, 1958- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, NJ : Princeton University Press, [1997]
Temas:
Acceso en línea:Texto completo

MARC

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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 4 |c ©1997 
300 |a 1 online resource (xxii, 342 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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504 |a Includes bibliographical references and index. 
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. 
588 0 |a Print version record. 
546 |a English. 
590 |a JSTOR  |b Books at JSTOR Demand Driven Acquisitions (DDA) 
590 |a JSTOR  |b Books at JSTOR All Purchased 
590 |a JSTOR  |b Books at JSTOR Evidence Based Acquisitions 
650 0 |a Political statistics. 
650 0 |a Inference. 
650 6 |a Science politique  |x Méthodes statistiques. 
650 6 |a Inférence (Logique) 
650 7 |a POLITICAL SCIENCE  |x Essays.  |2 bisacsh 
650 7 |a POLITICAL SCIENCE  |x Government  |x General.  |2 bisacsh 
650 7 |a POLITICAL SCIENCE  |x Government  |x National.  |2 bisacsh 
650 7 |a POLITICAL SCIENCE  |x Reference.  |2 bisacsh 
650 7 |a POLITICAL SCIENCE  |x History & Theory.  |2 bisacsh 
650 7 |a Inference  |2 fast 
650 7 |a Political statistics  |2 fast 
650 7 |a Umweltschutz  |2 gnd 
650 7 |a Interferenz  |2 gnd 
650 7 |a Interferenz  |g Ökologie  |2 gnd 
650 1 7 |a Aggregatie.  |2 gtt 
650 1 7 |a Politieke wetenschappen.  |2 gtt 
650 0 7 |a Interferenz (Ökologie)  |2 swd 
776 0 8 |i Print version:  |a King, Gary, 1958-  |t Solution to the ecological inference problem  |z 0691012415  |w (DLC) 96032986  |w (OCoLC)35360509 
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