The apprenticeship system is the most important source of formal post-secondary training in Germany. Our paper contributes to the ongoing debate as to why firms are willing to invest in such training even though many apprentices will leave the training firm soon after completion of the...

In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...

In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...

We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously:...

The apprenticeship system is the most important source of formal post-secondary training in Germany. Our paper contributes to the ongoing debate as to why firms are willing to invest in such training even though many apprentices will leave the training firm soon after completion of the...

Between one and two million migrants reside in cramped conditions in Nairobi’s slums without proper access to sanitation or affordable clean water. Children in such areas are exposed to enormous risks, health risks in particular. Using longitudinal data collected every four months during the...

If fertility reflects the choice of households, results of their choice (duration between successive births and health of the children) cannot be considered to be randomly determined. While most existing studies of child health tend to overlook the effects of fertility selection on child health,...

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...

This article considers a wide class of censoring problems and presents a construction rule for an objective function. This objective function generalises the ordinary likelihood as well as particular ?likelihoods? used for estimation in several censoring models. Under regularity conditions the...