We examine a new general class of hazard rate models for survival data, containing a parametric and a nonparametric component. Both can be a mix of a time effect and (possibly time-dependent) marker or covariate effects. A number of well-known models are special cases. In a counting process...

This paper investigates the relationship between the probability of divorce and marriage specific investments. As these investments in terms of childcare and household activities are likely to increase the marital surplus, they are consequently likely to decrease the risk of divorce. All such...

Bivariate duration data frequently arise in economics, biostatistics and other areas. In "bivariate frailty models", dependence between the frailties (i.e., unobserved determinants) induces dependence between the durations. Using notions of quadrant dependence, we study restrictions that this...

Between April and July 1994 Rwanda experienced a tremendous wave of inter-ethnic violence that caused at least 500,000 deaths. Combining birth history data drawn from the 2000 Rwanda Demographic and Health Survey with prefecture-level information on the intensity of the conflict, we examine the...

This paper sheds light on the role of family networks in the dynamics of a West African labour market, i.e. in the transitions from unemployment to employment, from wage employment to self-employment, and from self-employment to wage employment. It investigates the effects of three dimensions of...

From individual-level longitudinal data for two entire cohorts of medical students in UK universities, we analyse the probability that an individual student will ‘drop out’ of medical school prior to the successful completion of their studies. We examine the cohort of students enrolling for...

Background: Nutrition in utero and infancy may causally affect health and mortality at old ages. Until now, very few studies have demonstrated long-run effects on survival of early life nutrition, mainly because of data limitations and confounding issues. Methods: This paper investigates whether...

Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...