Drawing upon the recent explosion of research in the field, a
diverse group of scholars surveys the latest 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 offers many fresh and important contributions
to the study of ecological inference.
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