3 citations · 3 across the 4 of their papers we have counts for
5 papers
Testing Common Causality of Covariates: Evidence from Private-Sector Ban-the-Box Policies
Sunny R. Karim
When including covariates in Difference-in-Differences, researchers must consider not only which covariates to include, but also how to model them. The Common Causality of Covariat…
Which Policy Works, and Where? Estimation and Inference for State-Level Treatment Effects in Difference-in-Differences
Nichole Austin, Sunny R. Karim, Erin Strumpf +1
Policies with a common objective and implementation date may differ in details or context. We distinguish the aggregate average treatment effect on the treated (ATT) from sub-aggre…
Improved Inference for CSDID Using the Cluster Jackknife
Sunny R. Karim, Morten Ørregaard Nielsen, James G. MacKinnon +1
Obtaining reliable inferences with traditional difference-in-differences (DiD) methods can be difficult. Problems can arise when both outcomes and errors are serially correlated, w…
Good Controls Gone Bad: Difference-in-Differences with Covariates
Sunny Karim, Matthew D. Webb
This paper introduces the common causality of covariates (CCC) assumption in difference-in-differences with covariates. This assumption stipulates that covariates must have common…
Difference-in-Differences with Unpoolable Data
Sunny Karim, Matthew D. Webb, Nichole Austin +1
Difference-in-differences (DID) is commonly used to estimate treatment effects but is infeasible in settings where data are unpoolable due to privacy concerns or legal restrictions…