
Ecological Inference
New Methodological Strategies
Cambridge University Press
Published on 27. September 2004
Book
Hardback
432 pages
978-0-521-83513-8 (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
Target group
Professional and scholarly
Illustrations
54 Tables, unspecified; 451 Line drawings, unspecified
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 28 mm
Weight
1003 gr
ISBN-13
978-0-521-83513-8 (9780521835138)
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Additional editions

E-Book
11/2006
1st Edition
Cambridge University Press
€49.99
Available for download
Persons
Editor
Harvard University, Massachusetts
University of Pittsburgh
Northwestern University, Illinois
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.