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

Causality is a complex concept, which roots its developments across several fields, such as
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …

There is increasing concern that the coronavirus disease 2019 (COVID-19) pandemic could
harm psychological health and exacerbate suicide risk. Here, based on month-level records …

In the single-IV model, researchers commonly rely on t-ratio-based inference, even though
the literature has quantified its potentially severe large-sample distortions. Building on Stock …

This article estimates the effect of environmental regulation on firm productivity using a
spatial regression discontinuity design implicit in China's water quality monitoring system …

The canonical difference-in-differences (DD) estimator contains two time periods,” pre” and”
post”, and two groups,” treatment” and” control”. Most DD applications, however, exploit …

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 …

In times of severe international crises, such as wars and terrorist attacks, citizens tend to
'rally-around-the-flag'and increase their support for political leaders. We ask if the rallying …

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 …

This paper reviews the empirical methods used in the accounting literature to draw causal
inferences. Recent years have seen a burgeoning growth in the use of methods that seek to …