Contents

pp v-vi

Contributors

pp vii-viii

Preface

pp ix-x

INTRODUCTION

Information in Ecological Inference: An Introduction

pp 1-12

PART ONE

1 - Prior and Likelihood Choices in the Analysis of Ecological Data

pp 13-50

2 - The Information in Aggregate Data

pp 51-68

3 - Using Ecological Inference for Contextual Research

pp 69-96

PART TWO

4 - Extending King's Ecological Inference Model to Multiple Elections Using Markov Chain Monte Carlo

pp 97-122

5 - Ecological Regression and Ecological Inference

pp 123-143

6 - Using Prior Information to Aid Ecological Inference: A Bayesian Approach

pp 144-161

7 - An Information Theoretic Approach to Ecological Estimation and Inference

pp 162-187

8 - Ecological Panel Inference from Repeated Cross Sections

pp 188-206

PART THREE

9 - Ecological Inference in the Presence of Temporal Dependence

pp 207-232

10 - A Spatial View of the Ecological Inference Problem

pp 233-244

11 - Places and Relationships in Ecological Inference

pp 245-265

12 - Ecological Inference Incorporating Spatial Dependence

pp 266-302

PART FOUR

13 - Common Framework for Ecological Inference in Epidemiology, Political Science, and Sociology

pp 303-332

14 - Multiparty Split-Ticket Voting Estimation as an Ecological Inference Problem

pp 333-350

15 - A Structured Comparison of the Goodman Regression, the Truncated Normal, and the Binomial–Beta Hierarchical Methods for Ecological Inference

pp 351-382

16 - A Comparison of the Numerical Properties of EI Methods

pp 383-408

Index

pp 409-421