Many poverty, safety net, training, and other social programs utilize multiple screening criteria to determine eligibility. We apply recent advances in multidimensional measurement analysis to develop a straightforward method for summarizing changes in groups of eligibility (screening)...

This paper analyzes the impact of a recent recommendation made by Quebec's Comité consultatif de lutte contre la pauvreté et l'exclusion sociale to guarantee every individual an income equal to 80% of Statistics Canada's Market Basket Measure (MBM). Workers with earnings at least equivalent to...

The "common effect" model in program evaluation assumes that all treated individuals have the same impact from a program. Our paper contributes to the recent literature that tests and goes beyond the common effect model by investigating impact heterogeneity using data from the experimental...

We study the implementation of Bolsa Familia, a program that conditions cash transfers to poor families on children's school attendance. Using unique administrative data, we analyze how beneficiaries respond to the enforcement of conditionality. Making use of random variation in the day on which...

This paper examines the impact of severe wildfire events on Bolivia's poverty and labor market outcomes. We use a panel from 2005 to 2020 utilizing NASA's MODIS Collection-6 MCD64A1 burned area product and household surveys. To attain survey representativeness at a lower geographical level, we...

Despite a rich literature studying the impact of inequality on policy outcomes, there has been limited effort to bring these insights into the debates about comparative support for government responses to the COVID-19 pandemic. We fill in this gap by analyzing rich survey data from six countries...

The typical identification strategy in aid effectiveness studies assumes donor motives do not influence the impact of aid on growth. We call this homogeneity assumption into question, first constructing a model in which donor motives matter and then testing the assumption empirically. -- Aid ;...

Despite ubiquitous discussions of robots' potential impact, there is almost no systematic empirical evidence on their economic effects. In this paper we analyze for the first time the economic impact of industrial robots, using new data on a panel of industries in 17 countries from 1993-2007. We...

In this paper we survey the recent empirical literature on the effects of offshoring on wage, employment and displacement. We start with an overview of the measurement of offshoring, organizing our discussion around the three key elements of offshoring: that it involves intermediate inputs for...