This dissertation consists of three essays whose unifying topical theme is the study and application of semiparametric methods for the evaluation of social programs. The first essay evaluates the federal urban Empowerment Zone (EZ) program using an inverse probability weighting (IPW) difference-in-differences estimator. We use four decades of Census data on urban neighborhoods in conjunction with information on the proposed boundaries of rejected EZs. We find that neighborhoods receiving EZ designation experienced substantial improvements in labor market conditions and moderate increases in rents relative to rejected and future Empowerment Zones. No evidence exists of large scale gentrification.Chapter 1 Introduction This dissertation studies semiparametric methods for the evaluation of social programs. ... The second essay, with John DiNardo and Justin McCrary, explores the finite sample properties of several semiparametricanbsp;...
|Title||:||Three Essays on Semiparametric Methods for the Evaluation of Social Programs|
|Publisher||:||ProQuest - 2008|