By Gary King
This publication offers an answer to the ecological inference challenge, which has plagued clients of statistical tools for over seventy-five years: How can researchers reliably infer individual-level habit from combination (ecological) information? In political technological know-how, this question arises while individual-level surveys are unavailable (for example, neighborhood or comparative electoral politics), unreliable (racial politics), inadequate (political geography), or infeasible (political history). This ecological inference challenge additionally confronts researchers in different components of significant importance in public coverage, and different educational disciplines, starting from epidemiology and advertising to sociology and quantitative background. even supposing many have tried to make such cross-level inferences, students agree that each one present tools yield very faulty conclusions in regards to the international. during this quantity, Gary King lays out a unique--and reliable--solution to this venerable problem.
King starts with a qualitative evaluation, readable even by way of these and not using a statistical historical past. He then unifies the it seems that different findings within the methodological literature, in order that just one aggregation challenge is still solved. He then offers his answer, in addition to empirical reviews of the answer that come with over 16,000 comparisons of his estimates from actual combination facts to the identified individual-level resolution. the tactic works in practice.
King's approach to the ecological inference challenge will let empirical researchers to enquire important questions that experience heretofore proved unanswerable, and movement ahead fields of inquiry within which development has been stifled by means of this problem.
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Extra resources for A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data
A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data by Gary King