Donna K. Ginther

Courses



This is a list of courses and the most recent syllabi that Donna Ginther regularly teaches:

ECON 526: Introduction to Econometrics

Course Description:

Introduction to Econometrics is the study of statistical methods used by economists. Topics include: economic data, statistical foundations of econometrics, translation of economic models into empirical models, bivariate and multiple regression techniques, hypothesis testing, specification testing, time series analysis, and limited dependent variable models. Prerequisites: ECON 142, ECON 144, and MATH 526 or equivalent.



ECON 770: Economics of Labor Markets

Course Description:

This is a graduate level course that addresses the theoretical and empirical issues surrounding the economics of labor markets. Topics covered include: labor supply, labor demand, the human capital model, wage structure, discrimination, and unemployment. Econ 700 or equivalent and Econ 715, Econ 526 or equivalent are required.



ECON 818: Econometrics II

Course Description:

This course introduces students to the data and econometric methods used in the fields of applied micro and macroeconomics. The course will focus on econometric theory, estimator choice, and applications of empirical methods. Topics covered include economic data and statistical programming, measurement error, instrumental variables, seemingly unrelated regression, simultaneous equation models, generalized method of moments, maximum likelihood, limited dependent variable models, and time series. Attention will be given to the suitability of the methods to the research question under consideration. Prerequisites: Econ 817 or permission of the instructor.



ECON 870: Applied Microeconomics

Course Description:

This course introduces students to the data and empirical methods used in the fields of applied economics such as labor economics, health economics, public finance, and industrial organization. The course will focus on how to adjust for self-selection and identify causal relationships in applied microeconomic fields. Topics covered include economic data and statistical programming, instrumental variables, difference-in-differences, regression discontinuity, count data, sample selection, treatment effects, and duration models. Attention will be given to the suitability of the methods to the research question under consideration. Each topic will emphasize the proper application of the methods using the standard textbook treatment as well as assigned papers that examine the basic economic issues, the econometric techniques, and the applications to data. Prerequisites: Econ 817 and 818 or permission of the instructor.