This paper introduces an equilibrium framework for analyzing residential sorting, designed to take advantage of newly available restricted-access Census microdata. The framework adds an equilibrium concept to the discrete choice framework developed by McFadden (1973, 1978), permitting a more...

This paper develops the first quantitative framework for analyzing distributional effects of incentive schemes in public education. The analysis is built around a hump-shaped effort function, estimated semi-parametrically using exogenous incentive variation and rich administrative data. We...

This paper documents a new empirical regularity: teacher value-added increases within-teacher when accountability incentives are strengthened. That finding motivates a strategy to separate value-added into incentive-varying teacher effort and incentive-invariant teacher ability, combining rich...

While incentive schemes to elicit greater effort in organizations are widespread, the incentive strength-effort mapping is difficult to ascertain in practice, hindering incentive design. We propose a new semi-parametric method for uncovering this relationship in an education context, using...

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...

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...