Methods and tools for causal discovery and causal inference
Causality is a complex concept, which roots its developments across several fields, such as
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …
On doing relevant and rigorous experiments: Review and recommendations
Although experiments are the gold standard for establishing causality, several threats can
undermine the internal validity of experimental findings. In this article, we first discuss these …
undermine the internal validity of experimental findings. In this article, we first discuss these …
Action needed to make carbon offsets from forest conservation work for climate change mitigation
Carbon offsets from voluntary avoided-deforestation projects are generated on the basis of
performance in relation to ex ante deforestation baselines. We examined the effects of 26 …
performance in relation to ex ante deforestation baselines. We examined the effects of 26 …
[HTML][HTML] The effect of mandatory COVID-19 certificates on vaccine uptake: synthetic-control modelling of six countries
MC Mills, T Rüttenauer - The Lancet Public Health, 2022 - thelancet.com
Background Mandatory COVID-19 certification (showing vaccination, recent negative test, or
proof of recovery) has been introduced in some countries. We aimed to investigate the effect …
proof of recovery) has been introduced in some countries. We aimed to investigate the effect …
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 …
Carbon taxes and CO2 emissions: Sweden as a case study
JJ Andersson - American Economic Journal: Economic Policy, 2019 - aeaweb.org
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 …
Conducting interrupted time-series analysis for single-and multiple-group comparisons
A Linden - The Stata Journal, 2015 - journals.sagepub.com
In this article, I introduce the itsa command, which performs interrupted time-series analysis
for single-and multiple-group comparisons. In an interrupted time-series analysis, an …
for single-and multiple-group comparisons. In an interrupted time-series analysis, an …
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 …
Overstated carbon emission reductions from voluntary REDD+ projects in the Brazilian Amazon
Reducing emissions from deforestation and forest degradation (REDD+) has gained
international attention over the past decade, as manifested in both United Nations policy …
international attention over the past decade, as manifested in both United Nations policy …
Standard synthetic control methods: The case of using all preintervention outcomes together with covariates
It is becoming increasingly popular in applications of standard synthetic control methods to
include the entire pretreatment path of the outcome variable as economic predictors. We …
include the entire pretreatment path of the outcome variable as economic predictors. We …