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Пространственный анализ причинно-следственного воздействия×Синтетический метод контроля (SCM)×
ОбластьПричинно-следственный выводПричинно-следственный вывод
СемействоRegression modelRegression model
Год появления2010s (codified)2003–2010
Автор методаDelgado & Florax (spatial DiD); Halleck Vega & Elhorst (SLX model); broader lineage in spatial econometrics (Anselin, 1988)Alberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010)
ТипQuasi-experimental causal inference with spatial dataQuasi-experimental causal inference
Основополагающий источникDelgado, M. S., & Florax, R. J. G. M. (2015). Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction. Economics Letters, 137, 123-126. DOI ↗Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association, 105(490), 493-505. DOI ↗
Другие названияspatial causal inference, geo-causal analysis, spatial treatment effect estimation, spatial impact evaluationSCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method
Связанные44
СводкаSpatial causal impact analysis estimates the causal effect of a spatially-targeted intervention — a policy, shock, or treatment applied to particular locations — while explicitly accounting for geographic spillovers between treated and untreated units. By combining quasi-experimental designs such as difference-in-differences or regression discontinuity with spatial econometric models, it separates the direct local effect of a treatment from indirect effects that diffuse to neighbouring areas.The Synthetic Control Method estimates the causal effect of a treatment or policy on a single treated unit by constructing a weighted combination of untreated units — the synthetic control — that closely resembles the treated unit before the intervention. The gap between the treated unit and its synthetic counterpart after the intervention is the estimated treatment effect.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Spatial Causal Impact Analysis · Synthetic Control Method. Получено 2026-06-17 из https://scholargate.app/ru/compare