STATISTICAL ANALYSIS. This course provides an introduction to statistical analysis in the social sciences, ranging from simple descriptive statistics to multiple regression analysis, with a focus on use in applied policy research. Students will learn to frame quantitative research questions, organize and analyze data, apply statistical analysis to policy questions, and coherently report and display results.

APPLIED MULTIVARIATE REGRESSION. This course provides an introduction to the practical application of widely used basic multivariate regression techniques. Methods covered include multiple linear regression, time series and panel data analysis, regression discontinuity designs, differences-in-differences, and limited dependent variable models. Students will gain experience in the use of these techniques through hands-on exercises and the preparation of an original regression analysis of real-world data in an area of interest selected by the student.

BENEFIT-COST EVALUATION. The purpose of cost-benefit analysis (CBA) is to determine the net benefits of potential projects by cataloging the impacts of the projects, quantifying those impacts, and converting them into monetary terms. This course will focus on the use and application of CBA, including the economic rationale for CBA, basic principles for assessing the economic effects of projects, techniques for valuing health and environmental impacts, intergenerational and philosophical concerns as they relate to CBA, social discounting, risk, and uncertainty.