Many empirical questions in economics and other social sciences depend on causal effects
of programs or policies. In the last two decades, much research has been done on the …

Abstract The Environmental Kuznets Curve (EKC) hypothesis argues that the relationship
between the pollutant and output is inverted U-shaped, implying that environmental …

This paper analyzes difference-in-differences designs with a continuous treatment. We show
that treatment effect on the treated-type parameters can be identified under a generalized …

We propose a nonparametric inference method for causal effects of continuous treatment
variables, under unconfoundedness and nonparametric or high-dimensional nuisance …

We semiparametrically estimate average causal effects of different lengths of exposure to
academic and vocational instruction in the Job Corps (JC) under the assumption that …

A recent survey of 54 micro-econometric studies reveals that exporting firms are more
productive than non-exporters. However, previous empirical studies show that exporting …

Using unique recently released nationally representative high‐quality longitudinal
enterprise‐level data for Germany, this paper presents the first comprehensive evidence on …

In the context of a binary treatment, matching is a well-established approach in causal
inference. However, in the context of a continuous treatment or exposure, matching is still …

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis,
including new trends in machine learning. Reasoning about cause and effect—the …

This article studies identification, estimation, and inference of general unconditional
treatment effects models with continuous treatment under the ignorability assumption. We …