Economics (Arts): This course covers papers at the research frontier of selected areas in macroeconomics. The goal is to teach students how to do research on such topics and thus put them on a path to their doctoral thesis.
Offered by: Economics
Prerequisite(s): ECON 712 and ECON 713 or permission of the instructor.
Economics (Arts): Problems of economic growth and planning in selected underdeveloped countries. Topics covered vary from year to year in response to student interests; growth, poverty and income distribution, LDC labour markets and institutions, trade and development, international debt problems, issues in trade policy.
Economics (Arts): Surveys the empirical techniques used in applied microeconomic fields, particularly development and labour economics. Focus is on the formulation of empirical models derived from economic theory, and on various estimation methodologies, including panel data econometrics, limited dependent variable models, and duration analysis. A "hands on" approach is emphasized.
Offered by: Economics
Prerequisite: First term of ECON 662 and either ECON 634 or ECON 641, or consent of the instructor
Economics (Arts): The emphasis will be on describing and analyzing the structure and performance of the Canadian health system, though some attention will be given to recent attempts by the federal and provincial governments to deal with current problems in this field. Readings will be selected from the economics and health literature.
Offered by: Economics
Terms
This course is not scheduled for the 2024 academic year
Instructors
There are no professors associated with this course for the 2024 academic year
Economics (Arts): Theory and application of linear, non-linear expectational and asymptotic time series models to economic phenomena. Probabilistic models of economic dynamics and experimental economies, including simulation.
Economics (Arts): Exact and asymptotic distribution theory in econometrics: basic results for estimation and inference in regression models, extensions and other selected topics including nonparametric and distribution-free methods for econometric models.
Offered by: Economics
Terms
This course is not scheduled for the 2024 academic year
Instructors
There are no professors associated with this course for the 2024 academic year
Economics (Arts): This course covers advanced time series methods used in the analysis of financial data and other potentially non-stationary time series. Topics: integrated time series, co-integration, unit root testing, conditional heteroscedasticity, long memory, non-parametric and neural network models. Applications include market efficiency, stochastic volatility and predictability of asset returns.
Economics (Arts): A review of mathematical techniques used in modern finance theory, including measure theory and stochastic processes in continuous time (e.g., Brownian motion) and other techniques essential to understanding arbitrage pricing theory, including the pricing of options.
Offered by: Economics
Prerequisite: Permission of instructor.
Terms
This course is not scheduled for the 2024 academic year
Instructors
There are no professors associated with this course for the 2024 academic year