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 …

Recently, transformer architectures for graphs emerged as an alternative to established
techniques for machine learning with graphs, such as (message-passing) graph neural …

In order to accelerate the green economic transformation, promote the development of green
finance and explore reproducible and propagable experiences in terms of institutions and …

As the second-largest economy in the world with both high-energy consumption and high‑
carbon emission, China has launched several green finance pilot zones (GFPZ) targeting …

Abstract The Carbon Emission Trading Scheme is generally considered an important market-
oriented environmental policy tool aiming at carbon abatement. Therefore, the government …

For climate change mitigation, China launched seven pilot areas before establishing a
unified carbon emission trading system in 2014. This study explores the “weak” version of …

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 …

We use the synthetic control method to analyze the effect of face masks on the spread of
COVID-19 in Germany. Our identification approach exploits regional variation in the point in …