The past few decades have witnessed numerous crises that have drawn increasing attention
to the study of crisis leadership. However, research in this field remains fragmented and …

We discuss the relevance of the recent machine learning (ML) literature for economics and
econometrics. First we discuss the differences in goals, methods, and settings between the …

Suspension of face-to-face instruction in schools during the COVID-19 pandemic has led to
concerns about consequences for students' learning. So far, data to study this question have …

In response to climate change issues, China has set clear targets to reduce emissions. The
establishment of a carbon emissions trading scheme (ETS) has an important role in China's …

This article proposes doubly robust estimators for the average treatment effect on the treated
(ATT) in difference-in-differences (DID) research designs. In contrast to alternative DID …

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) …

Program evaluation methods are widely applied in economics to assess the effects of policy
interventions and other treatments of interest. In this article, we describe the main …

Well-designed and executed experiments prove cause-and-effect relationships. The ability
to draw causal conclusions is critical to knowledge development in any field of research. In …

Suspension of face-to-face instruction in schools during the COVID-19 pandemic has led to
concerns about consequences for student learning. So far, data to study this question have …

I study whether exposure to teacher stereotypes, as measured by the Gender-Science
Implicit Association Test, affects student achievement. I provide evidence that the gender …