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  • 1
    Online-Ressource
    Online-Ressource
    A solution to the ecological inference problem : reconstructing individual behavior from aggregate data (1997)
    Princeton, New Jersey :Princeton University Press,
    Details
    UID:
    almahu_9948318408802882
    Umfang: 1 online resource (366 pages) : , illustrations
    ISBN: 9781400849208 (e-book)
    Anmerkung: part I. Introduction -- part II. Catalog of problems to fix -- part III. The proposed solution -- part IV. Verification -- part V. Generalizations and concluding suggestions -- part VI. Appendices.
    Weitere Ausg.: Print version: King, Gary. Solution to the ecological inference problem : reconstructing individual behavior from aggregate data. Princeton, New Jersey : Princeton University Press, [1997] ISBN 9780691012407
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    URL: Click to View
    URL: https://www.degruyter.com/doi/book/10.1515/9781400849208
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    HU Berlin
    FU Berlin
  • 2
    Online-Ressource
    Online-Ressource
    A Solution to the Ecological Inference Problem : Reconstructing Individual Behavior from Aggregate Data (2013)
    Princeton : Princeton University Press
    Details
    UID:
    gbv_783155255
    Umfang: Online-Ressource (605 p)
    ISBN: 9780691012407
    Inhalt: This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five 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 pol
    Anmerkung: Description based upon print version of record , Cover Page; Title Page; Copyright Page; Dedication Page; Contents; List of Figures; List of Tables; Preface; Part I: Introduction; 1 Qualitative Overview; 1.1 The Necessity of Ecological Inferences; 1.2 The Problem; 1.3 The Solution; 1.4 The Evidence; 1.5 The Method; 2 Formal Statement of the Problem; Part II: Catalog of Problems to Fix; 3 Aggregation Problems; 3.1 Goodman's Regression: A Definition; 3.2 The Indeterminacy Problem; 3.3 The Grouping Problem; 3.4 Equivalence of the Grouping and Indeterminacy Problems; 3.5 A Concluding Definition; 4 Non-Aggregation Problems , 4.1 Goodman Regression Model Problems4.2 Applying Goodman's Regression in 2 × 3 Tables; 4.3 Double Regression Problems; 4.4 Concluding Remarks; Part III: The Proposed Solution; 5 The Data: Generalizing the Method of Bounds; 5.1 Homogeneous Precincts: No Uncertainty; 5.2 Heterogeneous Precincts: Upper and Lower Bounds; 5.3 An Easy Visual Method for Computing Bounds; 6 The Model; 6.1 The Basic Model; 6.2 Model Interpretation; 7 Preliminary Estimation; 7.1 A Visual Introduction; 7.2 The Likelihood Function; 7.3 Parameterizations; 7.4 Optional Priors , 7.5 Summarizing Information about Estimated Parameters8 Calculating Quantities of Interest; 8.1 Simulation Is Easier than Analytical Derivation; 8.2 Precinct-Level Quantities; 8.3 District-Level Quantities; 8.4 Quantities of Interest from Larger Tables; 8.5 Other Quantities of Interest; 9 Model Extensions; 9.1 What Can Go Wrong?; 9.2 Avoiding Aggregation Bias; 9.3 Avoiding Distributional Problems; Part IV: Verification; 10 A Typical Application Described in Detail: Voter Registration by Race; 10.1 The Data; 10.2 Likelihood Estimation; 10.3 Computing Quantities of Interest , 11 Robustness to Aggregation Bias: Poverty Status by Sex11.1 Data and Notation; 11.2 Verifying the Existence of Aggregation Bias; 11.3 Fitting the Data; 11.4 Empirical Results; 12 Estimation without Information: Black Registration in Kentucky; 12.1 The Data; 12.2 Data Problems; 12.3 Fitting the Data; 12.4 Empirical Results; 13 Classic Ecological Inferences; 13.1 Voter Transitions; 13.2 Black Literacy in 1910; Part V: Generalizations and Concluding Suggestions; 14 Non-Ecological Aggregation Problems; 14.1 The Geographer's Modifiable Areal Unit Problem , 14.2 The Statistical Problem of Combining Survey and Aggregate Data14.3 The Econometric Problem of Aggregating Continuous Variables; 14.4 Concluding Remarks on Related Aggregation Research; 15 Ecological Inference in Larger Tables; 15.1 An Intuitive Approach; 15.2 Notation for a General Approach; 15.3 Generalized Bounds; 15.4 The Statistical Model; 15.5 Distributional Implications; 15.6 Calculating the Quantities of Interest; 15.7 Concluding Suggestions; 16 A Concluding Checklist; Part VI: Appendices; A  Proof That All Discrepancies Are Equivalent; B  Parameter Bounds , B.1 Homogeneous Precincts
    Weitere Ausg.: ISBN 9781400849208
    Weitere Ausg.: ISBN 9780691012407
    Weitere Ausg.: Print version A Solution to the Ecological Inference Problem : Reconstructing Individual Behavior from Aggregate Data
    Sprache: Englisch
    Schlagwort(e): Electronic books
    URL: Volltext
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
    Online Zugang
    MPI Bildungsforschung
  • 3
    Online-Ressource
    Online-Ressource
    A Solution to the Ecological Inference Problem : Reconstructing Individual Behavior from Aggregate Data (1997)
    Princeton, N.J. :Princeton University Press,
    Details
    UID:
    edocfu_9958352744802883
    Umfang: 1 online resource(346p.) : , illustrations.
    Ausgabe: Electronic reproduction. Princeton, N.J. : Princeton University Press, 1997. Mode of access: World Wide Web.
    Ausgabe: System requirements: Web browser.
    Ausgabe: Access may be restricted to users at subscribing institutions.
    ISBN: 9781400849208
    Inhalt: This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five 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. King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice. King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.
    Anmerkung: Frontmatter -- , Contents -- , Figures -- , Tables -- , Preface -- , Part I: Introduction -- , Part II: Catalog of Problems to Fix -- , Part III: The Proposed Solution -- , Part IV: Verification -- , Part V: Generalizations and Concluding Suggestions -- , Part VI: Appendices -- , Glossary of Symbols -- , References -- , Index -- , About the Author. , In English.
    Sprache: Englisch
    DOI: 10.1515/9781400849208
    URL: https://www.degruyter.com/doi/book/10.1515/9781400849208
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Open Access Wunsch
    FU Berlin
  • 4
    Online-Ressource
    Online-Ressource
    A solution to the ecological inference problem : reconstructing individual behavior from aggregate data (1997)
    Princeton, N.J. :Princeton University Press,
    Details
    UID:
    almafu_9959245937302883
    Umfang: 1 online resource (xxii, 342 pages) : , illustrations
    Ausgabe: Course Book
    ISBN: 0-691-01241-5 , 1-4008-4920-9
    Inhalt: This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five 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. King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice. King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.
    Anmerkung: part I. Introduction -- part II. Catalog of problems to fix -- part III. The proposed solution -- part IV. Verification -- part V. Generalizations and concluding suggestions -- part VI. Appendices. , Issued also in print. , English
    Weitere Ausg.: ISBN 0-691-01240-7
    Weitere Ausg.: ISBN 1-299-84076-0
    Sprache: Englisch
    DOI: 10.1515/9781400849208
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Open Access Wunsch
    FU Berlin
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