Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/281099 
Year of Publication: 
2022
Series/Report no.: 
Queen’s Economics Department Working Paper No. 1495
Publisher: 
Queen's University, Department of Economics, Kingston (Ontario)
Abstract: 
We present a unifying identification strategy of dynamic average treatment effect parameters for staggered interventions when parallel trends are valid only after controlling for interactive fixed effects. This setting nests the usual parallel trends assumption, but allows treated units to have heterogeneous exposure to unobservable macroeconomic trends. We show that any estimator that is consistent for the unobservable trends up to a non-singular rotation can be used to consistently estimate heterogeneous dynamic treatment effects. This result can apply to data sets with either many or few pre-treatment time periods. We also demonstrate the robustness of two-way fixed effects imputation to certain parallel trends violations and provide a test for its consistency. A quasi-long-differencing estimator is proposed and implemented to estimate the effect of Walmart openings on local economic conditions.
Subjects: 
factor model
panel treatment effect
causal inference
fixed-T
JEL: 
C13
C21
C23
C26
Document Type: 
Working Paper

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