East Asian students regularly take top positions in international league tables of educational performance. Using internationally comparable student-level data, I estimate how family background and schooling policies affect student performance in five high-performing East Asian economies. Family...

A positive relationship between socio-economic status (SES) and health, the so-called "health-wealth gradient", is repeatedly found in most industrialized countries with similar levels of health care technology and economic welfare. This study analyzes causality from health to wealth (health...

An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...

Researchers are often interested in estimating the causal effect of some treatment on individual criminality. For example, two recent relatively prominent papers have attempted to estimate the respective direct effects of marriage and gang participation on individual criminal activity. One...

The number of studies investigating neighbourhood effects has increased rapidly over the last two decades. Although many of these studies claim to have found evidence for neighbourhood effects, most 'evidence' is likely the result of reversed causality. The main challenge in modelling...

This paper studies the dynamics of violence in the Palestinian-Israeli conflict since the outbreak of the Second (or Al-Aqsa) Intifada in September 2000, during which more than 3,300 Palestinians and more than 1,000 Israelis have been killed. The conflict has followed an uneven pattern, with...

Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires homogeneity assumptions. This paper outlines a theoretical framework that nests causal...