Difference-in-Differences Techniques for Spatial Data: Local Autocorrelation and Spatial Interaction

Michael S. Delgado and Raymond Florax
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Michael S. Delgado: Purdue University, United States

No 15-091/VIII, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: 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.

Keywords: Difference-in-differences; Monte Carlo simulation; program evaluation; spatial autocorrelation; spatial interaction (search for similar items in EconPapers)
JEL-codes: C21 C53 (search for similar items in EconPapers)
Date: 2015-07-30
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (71)

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Journal Article: Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20150091

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