EDP 6140: Economics of Education / Education Policy
Description: This course focuses on problems of the American educational system. Most attention will be paid to primary and secondary education (grades K-12), although some issues in higher education will also be examined. The goal of the course is not merely to study what economists have said about the problems of American education, but also to understand (and use) economic tools of analysis. These tools are of wide applicability and illuminate educational policies and practices (and much else) in all nations and societies. Although the focus is on the U.S., the course will be valuable to students whose principal interest is in international issues and educational systems abroad.
HODE 3225: Introduction to Public Finance of Education
Description: In this course, we first provide a foundation of knowledge for the economics of the public sector. In this part of the course, we will discuss the appropriate role of government activity in a market economy as well as other behavioral consequences of government policy from the perspective of the consumers, the policymakers, regulators, and general taxpayers. After establishing a better understanding of the economics of the public sector, we will examine economic models to explain real world government policymaking with a specific focus on education policy, including the rationale and mechanisms of funding education as well other important policy issues such as the provision of early childhood education, teacher labor markets, and accountability and school choice programs.
LPO 8851: Regression Analysis I
Description: Regression analysis is a widely used technique that allows us to 1) to describe average patterns of association among multiple variables observed in a sample and 2) to make inferences about the patterns of association among these variables in a population. The goal of this course is to develop an understanding of the basic methods, including their limitations, and to develop skill in using regression analysis to analyze non-experimental data. As an important part of any analysis is communicating the results to an audience, we will also place considerable emphasis on learning to present (in writing, tables, and figures) the results.