This course examines how practical problems can be solved by using econometric methods. The emphasis is on the analysis of real world economic data using advanced statistical software. Topics include: estimation and testing of linear regression models, regression diagnostics, robust estimation, bootstrap, panel data, nonlinear least squares, discrete choice models and forecasting methods.
This course examines how practical problems can be solved by using econometric methods. The emphasis is on the analysis of real world economic data using advanced statistical software. Topics include: estimation and testing of linear regression models, regression diagnostics, robust estimation, bootstrap, panel data, nonlinear least squares, discrete choice models and forecasting methods.
This is a special course that deals with various topics of microeconomics. Topics covered may vary from year to year, depending on the research interests of the instructor.
This course is an introduction to econometric theory and applications at an advanced level. Students are expected to be proficient in calculus, matrix algebra, and econometrics at the undergraduate level. Potential topics to be discussed include the classical linear model, generalized method of moments, and multiple equation models.
Note: Students may be required to pass a mathematics test in order to take the course
This course covers alternative forms of economic organizations, including the contractual nature of the firm, the meaning of monopoly and patent rights, the extraction of consumer surplus, and the purpose of integration and franchise arrangements. Government regulations will be discussed whenever appropriate.