A Solution to the Ecological Inference Problem

A Solution to the Ecological Inference Problem PDF Author: Gary King
Publisher: Princeton University Press
ISBN: 1400849209
Category : Political Science
Languages : en
Pages : 366

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Book Description
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.

A Solution to the Ecological Inference Problem

A Solution to the Ecological Inference Problem PDF Author: Gary King
Publisher: Princeton University Press
ISBN: 1400849209
Category : Political Science
Languages : en
Pages : 366

Get Book

Book Description
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.

Ecological Inference

Ecological Inference PDF Author: Gary King
Publisher: Cambridge University Press
ISBN: 9780521542807
Category : Nature
Languages : en
Pages : 436

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Book Description
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.

Solution to the Ecological Inference Problem

Solution to the Ecological Inference Problem PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Cf.: http://dx.doi.org/10.3886/ICPSR01132.v1.

Bayesian Inference

Bayesian Inference PDF Author: William A Link
Publisher: Academic Press
ISBN: 0080889808
Category : Science
Languages : en
Pages : 354

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Book Description
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. Engagingly written text specifically designed to demystify a complex subject Examples drawn from ecology and wildlife research An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference Companion website with analytical software and examples Leading authors with world-class reputations in ecology and biostatistics

Statistical Models and Causal Inference

Statistical Models and Causal Inference PDF Author: David A. Freedman
Publisher: Cambridge University Press
ISBN: 0521195004
Category : Mathematics
Languages : en
Pages : 416

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Book Description
David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

Designing Social Inquiry

Designing Social Inquiry PDF Author: Gary King
Publisher: Princeton University Press
ISBN: 0691034710
Category : Social Science
Languages : en
Pages : 259

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Book Description
Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?

Statistical Analysis of Extreme Values

Statistical Analysis of Extreme Values PDF Author: Rolf-Dieter Reiss
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Unifying Political Methodology

Unifying Political Methodology PDF Author: Gary King
Publisher: University of Michigan Press
ISBN: 9780472085545
Category : Mathematics
Languages : en
Pages : 290

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Book Description
DIVArgues that likelihood theory is a unifying approach to statistical modeling in political science /div

Oxford Textbook of Global Public Health

Oxford Textbook of Global Public Health PDF Author: Roger Detels
Publisher: Oxford University Press
ISBN: 019881013X
Category : Medical
Languages : en
Pages : 1717

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Book Description
Sixth edition of the hugely successful, internationally recognised textbook on global public health and epidemiology, with 3 volumes comprehensively covering the scope, methods, and practice of the discipline

Ecological Models and Data in R

Ecological Models and Data in R PDF Author: Benjamin M. Bolker
Publisher: Princeton University Press
ISBN: 0691125228
Category : Computers
Languages : en
Pages : 408

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Book Description
Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.