Faculty of Arts and Science
Microeconomic Theory
Credit hours: 3.00
Contact hours per week: 3-0-0
An introduction to graduate-level microeconomic theory, including topics such as utility maximization and individual choice, decision-making under uncertainty, producer theory (technology, costs and profit maximization), alternative market structures (competition, monopoly and oligopoly), general equilibrium, game theory and the economics of information.
Prerequisite(s):Admission to the M.A. program
Recommended Background:
One course (3.0 credit hours) in Microeconomics at the senior undergraduate level AND
One course (3.0 credit hours) in Mathematics for Economics
Macroeconomic Theory
Credit hours: 3.00
Contact hours per week: 3-0-0
An introduction to graduate-level macroeconomic theory, including topics such as economic growth, consumption, investment, real and nominal frictions in the goods, labour, and credit markets, models of short-run economic fluctuations, and monetary and fiscal policy design. Mathematical treatments of current macroeconomics models that are popular in the literature, including classical and new-Keynesian rational expectations models, real business cycle models, and models that can generate multiple equilibria, as well as empirical evidence.
Prerequisite(s):Admission to the M.A. program
Recommended Background:
One course (3.0 credit hours) in Macroeconomics at the senior undergraduate level AND
One course (3.0 credit hours) in Mathematics for Economics
Research Methods in Economics
Credit hours: 3.00
Contact hours per week: 3-0-0
Review of research methodology, including reviews of sources of economic data, reference searches, research strategies, critical assessment of published research, and research paper composition.
Prerequisite(s):Admission to the M.A. program
Econometric Theory and Applications
Credit hours: 3.00
Contact hours per week: 3-0-0
Introduction to the specification, estimation and testing of economic models. Topics include the classical linear regression model, t tests, structure tests, specification error, the consequences of the violation of the classical assumptions, detection and correction of autocorrelation, and heteroscedasticity. Additional topics such as asymptotic theory, maximum likelihood estimation, instrumental variables, simultaneous equation models, and selected topics such as models for limited dependent variables, models for panel data, ARCH models, units roots, and error correction models may be added at the discretion of the instructor.
Prerequisite(s):Admission to the M.A. or M.Sc. (Management) program