This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a...

We propose an approach for credibly estimating indirect sorting effects of major education reforms and placing them alongside the reforms' direct and persistent effects for the first time. Applying our approach to California's state-wide class size reduction program, we estimate a large positive...

Teacher value-added is not a technological ‘primitive.' Instead, it increases within-teacher when accountability incentives are strengthened, as we show. This evidence motivates a framework in which teacher value-added depends on two unobserved inputs to education production: teacher ability...

This paper sets out an empirically-driven approach for targeting environmental policies optimally in order to combat deforestation. We focus on the Amazon, the world's most extensive rainforest, where Brazil's federal government issued a ‘Priority List' of municipalities in 2008, to be...

Prompted by widespread concerns about public school quality, a growing empirical literature has measured the effects of greater choice on school performance. This paper contributes to that literature in three ways. First, it makes the observation that the overall effect of greater choice, which...

In many theoretical public finance models, school quality plays a central role as a determinant of household location choices and in turn, of neighborhood stratification. In contrast, the recent empirical literature has almost universally concluded that the direct effect of school quality on...

Tiebout's classic 1956 paper has strong implications regarding stratification across and within jurisdictions, predicting in the simplest instance a hierarchy of internally homogeneous communities ordered by income. Typically, urban areas are less than fully stratified, and the question arises...

This paper develops a dynamic model of neighborhood choice along with a computationally light multi-step estimator. The proposed empirical framework captures observed and unobserved preference heterogeneity across households and locations in a flexible way. The model is estimated using a newly...

This paper uses unique panel data covering over two million repeat-sales housing transactions from four metropolitan areas to test for the presence of racial price differentials in the housing market. Drawing on the strengths of these data, our research design controls carefully for unobserved...

Black households in the United States with high levels of income and education (SES) typically face a stark tradeoff when deciding where to live. They can choose neighborhoods with high levels of public goods or a high proportion of blacks, but very few neighborhoods combine both, a fact we...