Donor agencies and recipient governments want to assess the effectiveness of aid-supported sector policies. Unfortunately, existing methods for impact evaluation are designed for the evaluation of homogeneous interventions (‘projects’) where those with and without ‘treatment’ can be...

This paper considers a general class of stochastic dynamic choice models with discrete and continuous decision variables. This class contains a variety of models that are useful for modeling intertemporal household decisions under risk. Our examples are drawn from the field of development...

There is a growing interest, notably in development economics, in extending project evaluation methods to the evaluation of multiple interventions (“programs”). In program evaluations one is interested in the aggregate impact of a program rather than the effect on individual beneficiaries....

This note describes methods for solving deterministic and stochastic versions of the discrete-time Ramsey model of economic growth. We derive an iterative procedure for solving the Euler equation and apply it to an example adapted from Pan (2007).

The One Million Initiative aims to give one million people in rural Mozambique access to clean drinking water and adequate sanitation by constructing new water points and providing sanitation training. We use panel survey data for 1600 households to analyze the health impact of the Initiative....

There is a growing interest in extending project evaluation methods to the evaluation of programs: complex interventions involving multiple activities. In general a program evaluation cannot be based on separate evaluations of its components since interactions between the activities are likely...

Randomized controlled trials (RCTs) are now widely used in development economics. However, their use is often resisted by non-governmental development organizations. The objections they raise differ between the three types of activities of such non-governmental organizations (NGOs): capacity...

In practice, social and development interventions are often targeted at groups or individuals with the largest expected benefits. In such cases, treatment effects are usually affected by selection on unobservable factors. We show that modeling the process of selective intervention placement...

Based on a statistical procedure that combines household survey data with population census data, this paper presents estimates of inequality for three developing countries at a level of disaggregation far below that allowed by household surveys alone. We show that while the share of...

This paper implements a methodology for estimating poverty in Ecuador, Madagascar and South Africa, at levels of disaggregation that to date have not generally been available. The methodology is based on a statistical procedure to combine household survey data with population census data,...