Some methods from statistical machine learning and from robust statistics have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets, say with millions of data points. Secondly, robust and non-parametric confidence intervals for the...

Non-pecuniary incentives motivated by insights from psychology ("nudges") have been shown to be effective tools to change behavior in a variety of fields. An often unanswered question relevant for public policy is whether these promising interventions can be scaled up. In cooperation with a...

Non-pecuniary incentives motivated by insights from psychology ("nudges") have been shown to be effective tools to change behavior in a variety of fields. An often unanswered question relevant for public policy is whether these promising interventions can be scaled up. In cooperation with a...

Non-pecuniary incentives motivated by insights from psychology (“nudges”) have been shown to be effective tools to change behavior in a variety of fields. An often unanswered question relevant for public policy is whether these promising interventions can be scaled up. In cooperation with a...

As home visiting programs continue to expand, it is crucial to develop cost-effective methods to monitor their quality that are feasible at-scale. This paper compares two instruments widely used among home visiting services in the US to a simpler checklist in the context of Peru's Cuna Mas...

As home visiting programs continue to expand, it is crucial to develop cost-effective methods to monitor their quality that are feasible at-scale. This paper compares two instruments widely used among home visiting services in the US to a simpler checklist in the context of Peru's Cuna Mas...