Whether education affects political participation is a long-standing and central question in
political philosophy and political science. In this review, we provide an overview of the three …

Machine learning is a field at the intersection of statistics and computer science that uses
algorithms to extract information and knowledge from data. Its applications increasingly find …

International policy is focused on increasing the proportion of the Earth's surface that is
protected for nature,. Although studies show that protected areas prevent habitat loss …

The Effect: An Introduction to Research Design and Causality is about research design,
specifically concerning research that uses observational data to make a causal inference. It …

Purpose It is analyzed whether working from home improves or impairs the job satisfaction
and the work–life balance and under which conditions. Design/methodology/approach …

Although green bonds are becoming increasingly popular in the corporate finance practice,
little is known about their implications and effectiveness in terms of issuers' environmental …

Correlation does not imply causation; but often, observational data are the only option, even
though the research question at hand involves causality. This article discusses causal …

This report aims to provide methodological guidance to help practitioners select the most
appropriate weighting method based on propensity scores for their analysis out of many …

Getting numbers is easy; getting numbers you can trust is hard. This practical guide by
experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate …

The last 50 years has seen a dramatic decline in taxes on the rich across the advanced
democracies. There is still fervent debate in both political and academic circles, however …