A Solution to the Ecological Inference Problem

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9780691012407: A Solution to the Ecological Inference Problem

This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior 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. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem.


King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then 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. The method works in practice.


King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

From the Back Cover:

"This is a significant contribution to political methodology, and to statistical methodology throughout the social sciences. As always with Gary King's work, it is written with great flair and sophistication. This book will generate a good deal of excitement at the methodological frontier, and will also have a bracing impact on substantive research in a variety of fields."--Larry M. Bartels, Princeton University

"In this work, Gary King presents a number of new and important contributions to the field of statistical theory, and the practice of estimating choice probabilities from data aggregated into groups. An impressive statistical contribution."--Melvin J. Hinich, University of Texas-Austin

About the Author:

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).

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King, Gary;Princeton University Press
Editore: Ewing, New Jersey, U.S.A.: Princeton Univ Pr (1997)
ISBN 10: 0691012407 ISBN 13: 9780691012407
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Descrizione libro Ewing, New Jersey, U.S.A.: Princeton Univ Pr, 1997. Soft cover. Condizione libro: New. 1229 Language: eng Language: eng Language: eng Language: eng Language: eng Language: eng. Codice libro della libreria 3L17

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Gary King
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Descrizione libro Princeton University Press, 1997. Paperback. Condizione libro: New. book. Codice libro della libreria M0691012407

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King, Gary;Princeton University Press
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Descrizione libro Ewing, New Jersey, U.S.A.: Princeton Univ Pr, 1997. Soft cover. Condizione libro: New. Language: eng Language: eng Language: eng Language: eng Language: eng Language: eng. Codice libro della libreria 3a139

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Descrizione libro Princeton University Press, 1997. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria WP-9780691012407

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Descrizione libro Princeton University Press, United States, 1997. Paperback. Condizione libro: New. New.. Language: English . Brand New Book. This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior 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. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem. King begins with a qualitative overview, readable even by those without a statistical background.He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then 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. The method works in practice. King s solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem. Codice libro della libreria AAH9780691012407

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Gary King
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ISBN 10: 0691012407 ISBN 13: 9780691012407
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Descrizione libro Princeton University Press, United States, 1997. Paperback. Condizione libro: New. New.. Language: English . Brand New Book. This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior 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. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem. King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then 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. The method works in practice. King s solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem. Codice libro della libreria AAH9780691012407

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Descrizione libro Princeton University Press 1997-05-12, Princeton, 1997. paperback. Condizione libro: New. Codice libro della libreria 9780691012407

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Descrizione libro Princeton University Press, 1997. PAP. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IP-9780691012407

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Descrizione libro Princeton University Press. PAPERBACK. Condizione libro: New. 0691012407 New Condition. Codice libro della libreria NEW6.0350784

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