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  1. A solution to the ecological inference problem
    reconstructing individual behavior from aggregate data
    Published: [1997]
    Publisher:  Princeton University Press, Princeton, NJ

    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,... more

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    Aggregator (lizenzpflichtig)
    Hochschule Aalen, Bibliothek
    E-Book EBSCO
    No inter-library loan
    Hochschule Esslingen, Bibliothek
    E-Book Ebsco
    No inter-library loan
    Saarländische Universitäts- und Landesbibliothek
    No inter-library loan
    Universitätsbibliothek der Eberhard Karls Universität
    No inter-library loan

     

    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

     

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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781400849208; 1400849209
    Subjects: Science politique; Inférence (Logique); Political statistics; Inference; Political statistics; Inference; Inferencia; POLITICAL SCIENCE ; Essays; POLITICAL SCIENCE ; Government ; General; POLITICAL SCIENCE ; Government ; National; POLITICAL SCIENCE ; Reference; POLITICAL SCIENCE ; History & Theory; Inference; Political statistics; Umweltschutz; Interferenz; Interferenz; Aggregatie; Politieke wetenschappen
    Scope: Online Ressource (xxii, 342 pages), illustrations.
    Notes:

    Includes bibliographical references and index. - Description based on print version record

    pt. I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problempt. 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.