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Designing difference in difference studies: best practices for public health policy research
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 …
researchers often use to study causal relationships in public health settings where …
Natural experiments: an overview of methods, approaches, and contributions to public health intervention research
Population health interventions are essential to reduce health inequalities and tackle other
public health priorities, but they are not always amenable to experimental manipulation …
public health priorities, but they are not always amenable to experimental manipulation …
Using synthetic controls: Feasibility, data requirements, and methodological aspects
Probably because of their interpretability and transparent nature, synthetic controls have
become widely applied in empirical research in economics and the social sciences. This …
become widely applied in empirical research in economics and the social sciences. This …
A penalized synthetic control estimator for disaggregated data
Synthetic control methods are commonly applied in empirical research to estimate the
effects of treatments or interventions on aggregate outcomes. A synthetic control estimator …
effects of treatments or interventions on aggregate outcomes. A synthetic control estimator …
Face masks considerably reduce COVID-19 cases in Germany
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 …
COVID-19 in Germany. Our identification approach exploits regional variation in the point in …
Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry
The carbon trading market is an effective way to mitigate the threat of climate warming. In the
context of carbon neutrality, what is the carbon emission trading scheme's carbon reduction …
context of carbon neutrality, what is the carbon emission trading scheme's carbon reduction …
Carbon taxes and CO2 emissions: Sweden as a case study
This quasi-experimental study is the first to find a significant causal effect of carbon taxes on
emissions, empirically analyzing the implementation of a carbon tax and a value-added tax …
emissions, empirically analyzing the implementation of a carbon tax and a value-added tax …
The augmented synthetic control method
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 …
treatment on a single unit in panel data settings. The “synthetic control” is a weighted …
The impact of the Wuhan Covid-19 lockdown on air pollution and health: a machine learning and augmented synthetic control approach
We quantify the impact of the Wuhan Covid-19 lockdown on concentrations of four air
pollutants using a two-step approach. First, we use machine learning to remove the …
pollutants using a two-step approach. First, we use machine learning to remove the …