Despite the economic, social, and humanitarian costs of border closures, more than 1000
new international border closures were introduced in response to the 2020–2021 pandemic …

Carbon offsets from voluntary avoided-deforestation projects are generated on the basis of
performance in relation to ex ante deforestation baselines. We examined the effects of 26 …

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, eg, individuals …

In this article, we consider identification, estimation, and inference procedures for treatment
effect parameters using Difference-in-Differences (DiD) with (i) multiple time periods,(ii) …

This paper introduces a simple framework of counterfactual estimation for causal inference
with time‐series cross‐sectional data, in which we estimate the average treatment effect on …

Importance In response to the increase in opioid overdose deaths in the United States, many
states recently have implemented supply-controlling and harm-reduction policy measures …

The last 50 years has seen a dramatic decline in taxes on the rich across the advanced
democracies. There is still fervent debate in both political and academic circles, however …

This chapter surveys new development in causal inference using time-series cross-sectional
(TSCS) data. I start by clarifying two identification regimes for TSCS analysis: one under the …

Staggered adoption of policies by different units at different times creates promising
opportunities for observational causal inference. Estimation remains challenging, however …

Does the adoption of descriptive analytics impact online retailer performance, and if so,
how? We use the synthetic difference-in-differences method to analyze the staggered …