A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data - Couverture rigide

King, Gary

 
9780691012414: A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data

Synopsis

This text aims to provide a solution to the ecological inference problem, which has plagued users of statistical methods for over 75 years: How can researchers reliably infer individual-level behaviour from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. The book begins with a qualitative overview, readable even by those without a statistical background. It then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. Finally, the author presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer.

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À propos de l?auteur

Gary King is Professor of Government at Harvard University. He has authored and coauthored numerous journal articles and books in the field of political methodology, including Designing Social Inquiry: Scientific Inference in Qualitative Research (Princeton).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780691012407: A Solution to the Ecological Inference Problem

Edition présentée

ISBN 10 :  0691012407 ISBN 13 :  9780691012407
Editeur : Princeton University Press, 1997
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