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Solution to the Ecological Inference Problem
A01=Gary King
Accounting identity
Accuracy and precision
Addition
Aggregate data
Aggregation problem
Approximation
Author_Gary King
Bayesian
Calculation
Cartesian coordinate system
Category=JHBC
Category=JMAL
Coefficient
Combination
Computation
Conditional probability distribution
Conditional variance
Confidence interval
Contingency table
Contour line
Correlation and dependence
Covariate
Data set
Ecological regression
Ecology
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equation
Error term
Estimation
Expected value
Heteroscedasticity
Importance sampling
Inference
Joint probability distribution
Least squares
Likelihood function
Linear function
Linear regression
Multivariate normal distribution
Normal distribution
Notation
Parameter
Parameter (computer programming)
Parametrization
Percentile
Point estimation
Political methodology
Posterior probability
Prior probability
Probability
Probability distribution
Proportionality (mathematics)
Qualitative research
Quantity
Regression analysis
Result
Sampling (statistics)
Scientific notation
Special case
Standard deviation
Standard error
Statistic
Statistics
Tomography
Uncertainty
Unit square
Upper and lower bounds
Variable (computer science)
Variable (mathematics)
Variance
Voter turnout
Voting
Voting age
Weighted arithmetic mean
Product details
- ISBN 9780691012407
- Weight: 539g
- Dimensions: 197 x 254mm
- Publication Date: 06 Apr 1997
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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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.
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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