Recently, "DID; Difference-In-Difference" estimation method in the Treatment/Causal Effect has been regarded as one of the emerging and powerful methods for policy impact assessment, that estimates ...

Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the ...

We compile a novel high-frequency, detailed geographic dataset on mass layoffs from U.S. state labor departments. Using recent advances in difference-in-difference estimation with staggered treatment, ...

The conventional way of robust estimation of the location difference is by taking the difference of the robust estimates of two locations. The optimal member of this class will be referred to as usual ...