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 …

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 …

This paper synthesizes recent advances in the econometrics of difference-in-differences
(DiD) and provides concrete recommendations for practitioners. We begin by articulating a …

Probably because of their interpretability and transparent nature, synthetic controls have
become widely applied in empirical research in economics and the social sciences. This …

Synthetic control methods are commonly applied in empirical research to estimate the
effects of treatments or interventions on aggregate outcomes. A synthetic control estimator …

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 …

The synthetic control method (SCM) is a popular approach for estimating the impact of a
treatment on a single unit in panel data settings. The “synthetic control” is a weighted …

Environmental innovation has been recognized as an efficient way of addressing
environmental problems. However, how environmental innovation may affect carbon …

In a seminal paper Abadie et al (2010) develop the synthetic control procedure for
estimating the effect of a treatment, in the presence of a single treated unit and a number of …

This paper contributes to the literature by examining the impact of different forms of state
ownership on corporate innovation and the moderating effects of environmental, social, and …