The dynamic causal effect of an intervention on an outcome is of paramount interest to
applied macro-and microeconomics research. However, this question has been generally …

The difference in difference (DID) design is a quasi-experimental research design that
researchers often use to study causal relationships in public health settings where …

This study investigates Chinese A-share listed companies in the new energy industry for the
period 2007–2019. We shed new light on the nexus between fiscal policy uncertainty and …

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 …

Extreme weather events frequently cause severe crop yield losses, affecting food security
and farmers' incomes. In this paper, we aim to provide a holistic assessment of these …

Stakeholders have long pressured firms to provide societal benefits in addition to generating
shareholder wealth. Such benefits have traditionally come in the form of corporate social …

Policy interaction is an important way to deal with increasingly complex environmental
problems. This paper examines the investment-related tax cuts and the policy interaction …

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 …

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 …

While hypothesis testing is a highly formalized activity, hypothesis generation remains
largely informal. We propose a systematic procedure to generate novel hypotheses about …