Ecological Inference
New Methodological Strategies
1st Edition
Published on 6. November 2006
978-0-511-22759-2 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
54 Tables, unspecified; 451 Line drawings, unspecified
File size
8,44 MB
ISBN-13
978-0-511-22759-2 (9780511227592)
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Schweitzer Classification
Other editions
Additional editions
Book
09/2004
Cambridge University Press
€144.00
Shipment within 15-20 days
Book
09/2004
Cambridge University Press
€52.70
Shipment within 15-20 days
Persons
Content
Introduction: information in ecological inference: an introduction Gary King, Ori Rosen and Martin A. Tanner; Part I: 1. Prior and likelihood choices in the analysis of ecological data Jonathan C. Wakefield; 2. Information in aggregate data David G. Steel, Eric J. Beh and Raymond Lourenco Chambers; 3. Using ecological inference for contextual research: when aggregation bias is the solution as well as the problem D. Stephen Voss; Part II: 4. Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Jeffry B. Lewis; 5. Ecological regression and ecological inference Bernard Grofman and Samuel Merrill; 6. Using prior information to aid ecological inference: a Bayesian approach J. Kevin Corder and Christina Wolbrecht; 7. An information theoretic approach to ecological estimation and inference George G. Judge, Douglas J. Miller and Wendy K. Tam Cho; 8. Ecological panel inference from repeated cross sections Rob Eisinga, Ben Pelzer and Philip Hans B. F. Franses; Part III: 9. Multi-party split-ticket voting estimation as an ecological inference problem Kenneth R. Benoit, Michael Laver and Daniela Giannetti; 10. Ecological inference in the presence of temporal dependence Kevin M. Quinn; 11. A spatial view of the ecological inference problem Carol A. Gotway and Linda J. Young; 12. Places and relationships in ecological inference: uncovering contextual effects through a geographically weighted autoregressive model Ernesto Calvo and Marcelo Escolar; 13. Ecological inference incorporating spatial dependence Sebastien Haneuse and Jonathan C. Wakefield; Part IV: 14. A common framework for ecological inference in epidemiology, political science and sociology Ruth E. Salway and Jonathan C. Wakefield; 15. A structured comparison of the Goodman regression, the truncated normal, and the binomial-beta hierarchical methods for ecological inference Rogerio Silva de Mattos and Alvaro Veiga; 16. A comparison of the numerical properties of ei methods Micah Altman, Jeff Gill and Michael P. McDonald.
