Social scientists seeking to inform policy or public action must carefully consider how to
identify effects and express inferences because actions based on invalid inferences may not …

We extend the omitted variable bias framework with a suite of tools for sensitivity analysis in
regression models that does not require assumptions on the functional form of the treatment …

Path models to test claims about mediation and moderation are a staple of psychology. But
applied researchers may sometimes not understand the underlying causal inference …

For scientific discoveries to be valid—whether in theory or empirically—a phenomenon must
be accurately described: The scientist must use appropriate counterfactuals and eliminate …

Researchers seeking to establish causal relationships frequently control for variables on the
purported causal pathway, checking whether the original treatment effect then disappears …

Since the 1980's, decentralized forest management has been promoted as a way to
enhance sustainable forest use and reduce rural poverty. Rural communities manage …

Protests can engender significant institutional change. Can protests also continue to shape
a nation's contemporary politics outside of more formalized channels? I argue that social …

Many areas of political science focus on causal questions. Evidence from statistical analyses
is often used to make the case for causal relationships. While statistical analyses can help …

This paper introduces the package sensemakr for R and Stata, which implements a suite of
sensitivity analysis tools for regression models developed in Cinelli and Hazlett (2020a) …

Do elections reduce or increase the risk of autocratic regime breakdown? This article
addresses this contested question by distinguishing between election events and the …