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Regression modelEcological / aggregate-data inference

Ecological Inference

Ecological inference is the problem of learning about individual behavior — such as how Black and white voters cast their ballots — when only aggregate data are available, like precinct-level turnout and racial composition. Because individual-level data are missing, the within-group rates are not directly observed; ecological inference recovers them by combining the deterministic accounting constraints that each precinct must satisfy with a statistical model of how the unobserved rates vary across precincts. Gary King's 1997 solution unified the deterministic method of bounds with Leo Goodman's classic ecological regression, sharply reducing the long-standing risk of the ecological fallacy.

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Vyanzo

  1. King, G. (1997). A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data. Princeton: Princeton University Press. ISBN: 9780691012414
  2. Goodman, L. A. (1953). Ecological Regressions and Behavior of Individuals. American Sociological Review, 18(6), 663–664. DOI: 10.2307/2088121

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 22). Ecological Inference (Inferring Individual Behavior from Aggregate Data). ScholarGate. https://scholargate.app/sw/political-science/ecological-inference

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ScholarGateEcological Inference (Ecological Inference (Inferring Individual Behavior from Aggregate Data)). Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/political-science/ecological-inference · Seti ya data: https://doi.org/10.5281/zenodo.20539026