An expanding number of methodological resources, reviews, and commentaries both
highlight endogeneity as a threat to causal claims in management research and note that …

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 …

Importance Many medical journals, includingJAMA, restrict the use of causal language to the
reporting of randomized clinical trials. Although well-conducted randomized clinical trials …

The Effect: An Introduction to Research Design and Causality is about research design,
specifically concerning research that uses observational data to make a causal inference. It …

The recent high-profile cases of hate crimes in the US, especially those targeting Asian
Americans, have raised concerns about their risk of victimization. Following the onset of the …

In this Element, which continues our discussion in Foundations, the authors provide an
accessible and practical guide for the analysis and interpretation of Regression …

Soil erosion is a major threat to food security and ecosystem viability, as current rates are
orders of magnitude higher than natural soil formation. Governments around the world are …

Politician characteristic regression discontinuity (PCRD) designs leveraging close elections
are widely used to isolate effects of an elected politician characteristic on downstream …

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 …

Examining a shock to the salience of the sustainability of the US mutual fund market, we
present causal evidence that investors marketwide value sustainability: being categorized …