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空間的反事実影響評価(SCIE)×差分の差 (Difference-in-Differences, DiD)×
分野因果推論計量経済学
系統Regression modelRegression model
提唱年2010s1994
提唱者Cerqua, Pellegrini, and regional-science scholars building on counterfactual econometricsCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
種類Quasi-experimental / causal inferenceCausal inference / panel regression
原典Cerqua, A., & Pellegrini, G. (2014). Do subsidies to private capital boost firms' growth? A multiple regression discontinuity design approach. Journal of Public Economics, 109, 114-126. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
別名SCIE, spatial CIE, place-based counterfactual evaluation, regional counterfactual analysisdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
関連55
概要Spatial Counterfactual Impact Evaluation (SCIE) is a family of quasi-experimental methods that estimate the causal effect of geographically targeted policies — such as EU Cohesion Funds, enterprise zones, or place-based subsidies — by constructing a spatial counterfactual: what outcomes the treated region would have experienced without the intervention, inferred from comparable untreated regions or from discontinuities at policy boundaries.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGate手法を比較: Spatial Counterfactual Impact Evaluation · Difference-in-Differences. 2026-06-17に以下より取得 https://scholargate.app/ja/compare