A Solution to the Ecological Inference Problem: - download pdf or read online

By Gary King

ISBN-10: 0691012407

ISBN-13: 9780691012407

ISBN-10: 0691012415

ISBN-13: 9780691012414

This ebook presents an answer to the ecological inference challenge, which has plagued clients of statistical equipment for over seventy-five years: How can researchers reliably infer individual-level habit from combination (ecological) information? In political technology, 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 parts of significant value in public coverage, and different educational disciplines, starting from epidemiology and advertising to sociology and quantitative heritage. even supposing many have tried to make such cross-level inferences, students agree that every one current tools yield very faulty conclusions concerning the global. during this quantity, Gary King lays out a unique--and reliable--solution to this venerable problem.

King starts with a qualitative assessment, readable even via these with no statistical historical past. He then unifies the it sounds as if diversified findings within the methodological literature, in order that just one aggregation challenge continues to be 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 genuine mixture information to the recognized individual-level resolution. the tactic works in practice.

King's option to the ecological inference challenge will allow empirical researchers to enquire noticeable questions that experience heretofore proved unanswerable, and circulation ahead fields of inquiry within which growth has been stifled by way of this problem.

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A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data by Gary King

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