Methods for cluster-robust inference are routinely used in economics and many other
disciplines. However, it is only recently that theoretical foundations for the use of these …

Though randomized control trials continue to serve as the “gold standard” of causal
inference, they are neither feasible nor desirable in numerous instances. Even in the …

We consider statistical inference for regression when data are grouped into clusters, with
regression model errors independent across clusters but correlated within clusters …

Purpose Carbon trading mechanism has been adopted to foster the green transformation of
the economy on a global scale, but its effectiveness for the power industry remains …

The misuse of prescription opioids has become a serious epidemic in the United States. In
response, states have implemented Prescription Drug Monitoring Programs (PDMPs), which …

Digital technologies have played a significant role in the defense against the COVID-19
pandemic. This development raises the question of whether digital technologies have …

This paper examines the synthetic control method in contrast to commonly used difference‐
in‐differences (DiD) estimation, in the context of a re‐evaluation of a pay‐for‐performance …

Overdose deaths involving opioids have increased dramatically since the 1990s, leading to
the worst drug overdose epidemic in US history, but there is limited empirical evidence …

We analyze for the first time the economic contributions of modern industrial robots, which
are flexible, versatile, and autonomous machines. We use novel panel data on robot …

In this paper, we investigate the use of interactive effect or linear factor models in regional
policy evaluation. We contrast treatment effect estimates obtained using Bai (2009) with …