Regression modelQuasi-experimental / causal inference

Spatial Event Study Design

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.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. 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: 10.1257/aer.103.6.2121
  2. Kline, P. (2012). The Impact of Juvenile Curfew Laws on Arrests of Youth and Adults. American Law and Economics Review, 14(1), 44-67. link

Related methods

ScholarGateSpatial Event Study Design (Spatial Event Study Design). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/spatial-event-study-design