ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

空間イベントスタディデザイン×パネルイベントスタディ×
分野因果推論因果推論
系統Regression modelRegression model
提唱年2000s–2010s1990s–2020s (modern panel formulation)
提唱者Developed across applied spatial economics literature; canonical applications in Autor, Dorn & Hanson (2013) and related regional economics studiesFormalized by Freyaldenhoven, Hansen, Perez-Orive & Shapiro (2021); widely applied in finance (Fama et al. 1969) and policy evaluation
種類Quasi-experimental causal inference with spatial structureQuasi-experimental / causal panel design
原典Autor, D. H., Dorn, D., & Hanson, G. H. (2013). The China Syndrome: Local Labor Market Effects of Import Competition in the United States. American Economic Review, 103(6), 2121-2168. DOI ↗Freyaldenhoven, S., Hansen, C., Perez-Orive, J., & Shapiro, J. M. (2021). Visualization, Identification, and Estimation in the Linear Panel Event-Study Design. NBER Working Paper 29170. National Bureau of Economic Research. link ↗
別名spatial event study, geographic event study, spatial dynamic DiD, place-based event studyevent-study regression, dynamic DiD, relative-time regression, distributed-lag panel model
関連54
概要Spatial event study design estimates the dynamic causal effects of a geographically concentrated shock or policy by plotting how outcomes in affected locations evolve relative to unaffected locations across time periods, while explicitly accounting for spatial spillovers and autocorrelation across geographic units. It is widely used in regional and urban economics to evaluate place-based policies, trade shocks, and local labour market interventions.A panel event study estimates the dynamic causal effect of a treatment or policy by regressing an outcome on a full set of relative-time indicators — one for each period before and after the event — while controlling for unit and time fixed effects. The resulting coefficient plot shows how the treated units diverged from untreated units at each point in calendar time relative to their treatment date, making both pre-treatment trend violations and post-treatment effect trajectories immediately visible.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Spatial Event Study Design · Panel Event Study. 2026-06-15に以下より取得 https://scholargate.app/ja/compare