The international community has pledged $11 billion to Haiti, a country where nongovernmental organizations (NGOs) provide nearly all public goods and services. This raises at least two questions: How can NGOs most effectively perform their own work, and how can NGOs integrate their programs...

In their justification for using entrance cutoff dates and compulsory education laws as a natural experiment, the authors of Angrist and Krueger (1991) rightly give much attention to the effectiveness of compulsory attendance laws. However, the authors do not give proper attention to the...

A wide literature uses date of birth as an instrument to study the causal effects of educational attainment. This paper shows how parents delaying their children’s initial enrollment in kindergarten, a practice known as redshirting, can make estimates obtained through this identification...

This paper quantitatively compares water infrastructure interventions that prioritize equity with those that prioritize efficiency. The community-based model developed by Haiti Outreach (HO) trains communities to operate and maintain wells, and has clear effi ciency gains over the status quo aid...

Not only has poverty recently increased in the United States, it has also become more concentrated. This Commentary documents changes in the concentration of poverty in metropolitan areas over the last decade. The analysis shows that the concentration of poverty tends to be highest in northern...

Structural Causal Models define causal effects in terms of a single Data Generating Process (DGP), and the Rubin Causal Model defines causal effects in terms of a model that can represent counterfactuals from many DGPs. Under these different definitions, notationally similar causal effects make...

The Moving to Opportunity (MTO) experiment randomly assigned housing vouchers that could be used in low-poverty neighborhoods. Consistent with the literature, I find that receiving an MTO voucher had no effect on outcomes like earnings, employment, and test scores. However, after studying the...

This paper estimates Local Average Treatment Effects (LATEs) of neighborhood quality from the Moving to Opportunity (MTO) housing mobility experiment in a generalized model with multiple treatment levels. We propose a new approach to identifying parameters that exploits the identification of...

Trying to learn about neighborhood effects from the Moving to Opportunity (MTO) housing mobility experiment by focusing on its program effects obfuscates the evidence on neighborhood effects from MTO. This paper shows that using Intent-to-Treat (ITT) and Treatment-on-the-Treated (TOT) program...

This paper investigates the assumptions under which various parameters can be identified by the Moving to Opportunity (MTO) housing mobility experiment. Joint models of potential outcomes and selection into treatment are used to clarify the current interpretation of empirical evidence,...