Ecological Inference: New Methodological Strategies

doi:10.1017/CBO9780511510595

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.

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Contents

Frontmatter
pp i-iv
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Contents
pp v-vi
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Contributors
pp vii-viii
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Preface
pp ix-x
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INTRODUCTION
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Information in Ecological Inference: An Introduction
pp 1-12
- By Gary King, Ori Rosen, Martin A. Tanner
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PART ONE
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1 - Prior and Likelihood Choices in the Analysis of Ecological Data
pp 13-50
- By Jonathan Wakefield
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2 - The Information in Aggregate Data
pp 51-68
- By David G. Steel, Eric J. Beh, Ray L. Chambers
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3 - Using Ecological Inference for Contextual Research
pp 69-96
When Aggregation Bias Is the Solution as Well as the Problem
- By D. Stephen Voss
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PART TWO
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4 - Extending King's Ecological Inference Model to Multiple Elections Using Markov Chain Monte Carlo
pp 97-122
- By Jeffrey B. Lewis
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5 - Ecological Regression and Ecological Inference
pp 123-143
- By Bernard Grofman, Samuel Merrill
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6 - Using Prior Information to Aid Ecological Inference: A Bayesian Approach
pp 144-161
- By J. Kevin Corder, Christina Wolbrecht
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7 - An Information Theoretic Approach to Ecological Estimation and Inference
pp 162-187
- By George G. Judge, Douglas J. Miller, Wendy K. Tam Cho
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8 - Ecological Panel Inference from Repeated Cross Sections
pp 188-206
- By Ben Pelzer, Rob Eisinga, Philip Hans Franses
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PART THREE
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9 - Ecological Inference in the Presence of Temporal Dependence
pp 207-232
- By Kevin M. Quinn
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10 - A Spatial View of the Ecological Inference Problem
pp 233-244
- By Carol A. Gotway Crawford, Linda J. Young
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11 - Places and Relationships in Ecological Inference
pp 245-265
Uncovering Contextual Effects through a Geographically Weighted Autoregressive Model
- By Ernesto Calvo, Marcelo Escolar
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12 - Ecological Inference Incorporating Spatial Dependence
pp 266-302
- By Sebastien Haneuse, Jonathan Wakefield
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PART FOUR
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13 - Common Framework for Ecological Inference in Epidemiology, Political Science, and Sociology
pp 303-332
- By Ruth Salway, Jonathan Wakefield
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14 - Multiparty Split-Ticket Voting Estimation as an Ecological Inference Problem
pp 333-350
- By Kenneth Benoit, Michael Laver, Daniela Giannetti
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15 - A Structured Comparison of the Goodman Regression, the Truncated Normal, and the Binomial–Beta Hierarchical Methods for Ecological Inference
pp 351-382
- By Rogério Silva de Mattos, Álvaro Veiga
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16 - A Comparison of the Numerical Properties of EI Methods
pp 383-408
- By Micah Altman, Jeff Gill, Michael P. McDonald
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Index
pp 409-421
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Ecological Inference

New Methodological Strategies

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