Corpus ID: 234339161

Difference-in-Differences Estimation with Spatial Spillovers

@inproceedings{Butts2021DifferenceinDifferencesEW,
  title={Difference-in-Differences Estimation with Spatial Spillovers},
  author={Kyle Butts},
  year={2021}
}
Empirical work often uses treatment assigned following geographic boundaries. When the effects of treatment cross over borders, classical difference-in-differences estimation produces biased estimates for the average treatment effect. In this paper, I introduce a potential outcomes framework to model spillover effects and decompose the estimate’s bias in two parts: (1) the control group no longer identifies the counterfactual trend because their outcomes are affected by treatment and (2… Expand
1 Citations

Figures and Tables from this paper

Difference-in-Differences with Geocoded Microdata
This paper formalizes a common approach for estimating effects of treatment at a specific location using geocoded microdata. This estimator compares units immediately next to treatment (anExpand

References

SHOWING 1-10 OF 56 REFERENCES
Estimating Difference-in-Differences in the Presence of Spillovers
I propose a method for difference-in-differences (DD) estimation in situations where the stable unit treatment value assumption is violated locally. This is relevant for a wide variety of cases whereExpand
Identification and Estimation of Spillover Effects in Randomized Experiments
I study identification, estimation and inference for spillover effects in experiments where units' outcomes may depend on the treatment assignments of other units within a group. I show that theExpand
Design-based analysis in Difference-In-Differences settings with staggered adoption
Abstract In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the staggered adoption setting where units, e.g, individuals,Expand
Difference-in-Differences with Variation in Treatment Timing
The canonical difference-in-differences (DD) model contains two time periods, “pre” and “post”, and two groups, “treatment” and “control”. Most DD applications, however, exploit variation acrossExpand
Design-Based Analysis in Difference-in-Differences Settings with Staggered Adoption
TLDR
Estimation of and inference for average treatment effects in a setting with panel data shows that under random assignment of the adoption date the standard Difference-In-Differences estimator is is an unbiased estimator of a particular weighted average causal effect. Expand
Handling Spillover Effects in Empirical Research
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firmExpand
Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction ☆
We consider treatment effect estimation via a difference-in-difference approach for spatial data with local spatial interaction such that the potential outcome of observed units depends on their ownExpand
Estimating Dynamic Treatment Effects in Event Studies With Heterogeneous Treatment Effects
Event studies are frequently used to estimate average treatment effects on the treated (ATT). In estimating the ATT, researchers commonly use fixed effects models that implicitly assume constantExpand
The Perils of Peer Effects
Individual outcomes are highly correlated with group average outcomes, a fact often interpreted as a causal peer effect. Without covariates, however, outcome-on-outcome peer effects are vacuous,Expand
Revisiting Event Study Designs
A broad empirical literature uses "event study" research designs for treatment effect estimation, a setting in which all units in the panel receive treatment but at random times. We make four novelExpand
...
1
2
3
4
5
...