We develop new methods for analyzing randomized experiments with noncompliance and, by extension, instrumental variable settings, when the often controversial, but key, exclusion restriction assumption is violated. We show how existing large-sample bounds on intention-to-treat effects for the...

The estimation of limited dependent variable panel data models usually involves objective functions in which integrals appear without a closed form solution: this is the case of the panel data Tobit model with random effects. Recently, simulation methods have shown to be useful in the inference...

The theoretical literature has pointed at the importance of access to credit market in determining the household decisions concerning children's activities and the reaction of households to adverse shocks. In this paper we address these issues making use of a unique data set for Guatemala that...

The use of multilevel models for the estimation of the propensity score for data with a hierarchical structure and unobserved cluster-level variables is proposed. This approach is compared with models that ignore the hierarchy, and models in which the hierarchy is represented by a fixed...

We present results from an experiment with multiple public goods, where each good produces benefits only if total contributions to it reach a minimum threshold. The experiment allows us to compare contributions in a benchmark treatment with a single public good and in treatments with more public...

In some practical applications of transition models there is a natural limit on the duration of some state. An important example is the Youth Training Scheme (YTS), which is normally limited to two years. The authors modify the usual competing risks model for this case and derive a diagnostic...