Amazon cover image
Image from Amazon.com

A solution to the ecological inference problem : reconstructing individual behavior from aggregate data / Gary King.

By: Material type: TextTextPublication details: Princeton, NJ : Princeton University Press, (c)1997.Description: 1 online resource (xxii, 342 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781400849208
Subject(s): Genre/Form: LOC classification:
  • JA71 .S658 1997
Online resources: Available additional physical forms:
Contents:
part II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- part 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 -- part 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 -- part 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.
Subject: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE Non-fiction JA71.7 (Browse shelf(Opens below)) Link to resource Available ocn857769636

Includes bibliographies and index.

part I. Introduction. 1. Qualitative Overview. 2. Formal Statement of the Problem -- part II. Catalog of Problems to Fix. 3. Aggregation Problems. 4. Non-Aggregation Problems -- part 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 -- part 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 -- part 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.

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.

COPYRIGHT NOT covered - Click this link to request copyright permission:

https://lib.ciu.edu/copyright-request-form

There are no comments on this title.

to post a comment.