This paper presents asymptotic theory and Monte-Carlo simulations comparing maximum-likelihood bivariate probit and linear instrumental variables estimators of treatment effects in models with a binary endogenous treatment and binary outcome. The three main contributions of the paper are (a)...

Data from three rounds of nationally representative health surveys in India are used to assess the impact of selective mortality on children s anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first...

This paper estimates average and marginal returns to schooling in Indonesia using a non-parametric selection model estimated by local instrumental variables, and data from the Indonesia Family Life Survey. The analysis finds that the return to upper secondary schooling varies widely across...

The authors use data from three waves of the India National Family Health Survey to explore the relationship between the month of birth and the health outcomes of young children in India. They find that children born during the monsoon months have lower anthropometric scores compared with...