Goods are often allocated publically by means of queuing processes in developing countries.In such situations, which group of citizens should a corrupt government official favor? In addition,what should be the basis for this favoritism? To the best of our knowledge, these salient questionshave...

For certain goods, higher levels of congestion imply higher levels of expected future entry costs. This provides current users of the good with an incentive to hoard, that is, to lengthen their duration of good use, in order avoid entry costs later on. We test for hoarding of university...

Detecting heterogeneity within a population is crucial in many economic and financial applications. Econometrically, this requires a credible determination of multimodality in a given data distribution. We propose a straightforward yet effective technique for mode inference in discrete data...

For certain goods, higher levels of congestion imply higher levels of expected future entry costs. This provides current users of the good with an incentive to hoard, that is, to lengthen their duration of good use, in order avoid entry costs later on. We test for hoarding of university...

We present a theoretical framework which allows for the comparison of the effectiveness of tax measures, loans and funding, in supporting industry-oriented research. We estimate for each of the instruments the exact contribution required by a firm to decide on investing in R&D, given the costs...

This paper explores how a conditional cash transfer program influences students’ schooling decisions when program payments stop in the middle of the school career. To that end, I examine Mexico’s Progresa, which covered students only until the end of middle school (at age 15) in its early...

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...

We use data on a large-scale water and sanitation program in rural Mozambique, implemented between 2008 and 2013, to investigate the complementarities between a behavior-change-based community-led total sanitation intervention and a community water supply intervention. Our findings indicate that...

A new and rapidly growing econometric literature is making advances in the problem of using machine learning (ML) methods for causal inference questions. Yet, the empirical economics literature has not started to fully exploit the strengths of these modern methods. We revisit influential...