Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/295891 
Year of Publication: 
2024
Series/Report no.: 
IZA Discussion Papers No. 16868
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
We establish identifying assumptions and estimation procedures for the ATT in a Difference-in-Differences setting with staggered treatment adoption in the presence of spillovers. We show that the ATT can be estimated by a simple TWFE method that extends the approach of Wooldridge [2022]'s fully interacted regression model. We broaden our framework to the non-linear case of count data, offering estimation of the ATT by a simple TWFE Poisson model, and we revisit a corresponding application from the crime literature. Monte Carlo simulations show that our estimator performs competitively.
Subjects: 
Difference-in-Differences
staggered treatment adoption
spillovers
(non-)linear models
Document Type: 
Working Paper

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