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Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
Tinbergen Institute Discussion Paper No. 15-091/VIII
Verlag: 
Tinbergen Institute, Amsterdam and Rotterdam
Zusammenfassung: 
We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction such that the outcome of observed units depends on their own treatment as well as on the treatment status of proximate neighbors. We show that under standard assumptions (common trend and ignorability) a straightforward spatially explicit version of the benchmark difference-in-differences regression is capable of identifying both direct and indirect treatment effects. We demonstrate the finite sample performance of our spatial estimator via Monte Carlo simulations.
Schlagwörter: 
Difference-in-differences
Monte Carlo simulation
program evaluation
spatial autocorrelation
spatial interaction
JEL: 
C21
C53
Dokumentart: 
Working Paper
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