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Note: This is the 2022鈥2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Note: This is the 2022鈥2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
The Master of Arts in Economics; Non-Thesis program provides graduate training in theoretical and applied economics, and in econometric methods.
Economics (Arts) : Preparation for work on M.A. thesis and M.A. research report.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : Preparation for work on M.A. thesis and M.A. research report.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : The M.A. Report must demonstrate the candidate's ability to do independent work at the graduate level in a particular field of economics. While length will vary with the subject matter, it is expected that on average reports will be about 50 pages long. The Report will be graded jointly by two members of the Department. The supervisor will normally be one of the examiners.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : The M.A. Report must demonstrate the candidate's ability to do independent work at the graduate level in a particular field of economics. While length will vary with the subject matter, it is expected that on average reports will be about 50 pages long. The Report will be graded jointly by two members of the Department. The supervisor will normally be one of the examiners.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : The M.A. Report must demonstrate the candidate's ability to do independent work at the graduate level in a particular field of economics. While length will vary with the subject matter, it is expected that on average reports will be about 50 pages long. The Report will be graded jointly by two members of the Department. The supervisor will normally be one of the examiners.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : The M.A. Report must demonstrate the candidate's ability to do independent work at the graduate level in a particular field of economics. While length will vary with the subject matter, it is expected that on average reports will be about 50 pages long. The Report will be graded jointly by two members of the Department. The supervisor will normally be one of the examiners.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : This is the first in a two-course sequence in microeconomics. The core microeconomics sequence (ECON 610, ECON 611) provides a rigorous coverage of the economic foundation upon which economic fields are built. Most of the sequence is devoted to building up this foundation of consumer and firm optimisation (including choice under uncertainty), partial and general equilibrium, and welfare economics. The remainder of ECON 611 covers special topics that vary from year to year. These are likely to be drawn from the following: social choice; externalities and public goods; models of asymmetric information; the principal-agent framework; search; basic game theory.
Terms: Fall 2022
Instructors: Baumann, Leonie (Fall)
Economics (Arts) : This course is the first in a two-course sequence in macroeconomics. The course offers a thorough treatment of the fundamentals of macroeconomic theory. Emphasis is placed on the construction of economic models with microeconomic foundations. Topics include market-clearing and non-market-clearing models, capital accumulation, business cycles, monetary policy and fiscal policy.
Terms: Fall 2022
Instructors: Barczyk, Daniel (Fall)
Economics (Arts) : Preparation of M.A. research papers.
Terms: Fall 2022, Winter 2023, Summer 2023
Instructors: There are no professors associated with this course for the 2022-2023 academic year.
Economics (Arts) : Essential methods used in practical forecasting and modelling contexts: standard time series models for forecasting; non-stationary data; conditional variance forecasts; nowcasting macroeconomic quantities; density and probability forecasts; feasible forecast horizons; forecast evaluation and presentation.
Terms: Winter 2023
Instructors: Galbraith, John W (Winter)
Economics (Arts) : With limited public resources, determining which programs, reforms, policies are beneficial, and at what cost, is crucial, and allows public policy to be driven by evidence. However, evaluating programs is made difficult by the 鈥渃ounterfactual problem鈥: one cannot observe the outcomes or behavior of a participant, had (s)he not participated. This course will describe the standard OLS model, its limitations, and an improvement (panel data models). This course will then present the state-of-the-art empirical techniques used by economists to address the counterfactual issue (randomized experiments, instrumental variables, difference-in-differences, regression discontinuity design; and time permitting selection models and matching). For each of these approaches, we will give the basic intuition, discuss the necessary assumptions, present the strengths and weaknesses, and analyze applications drawn from the literature. Moreover, each technique will be implemented by the students in hands-on Stata sessions.
Terms: Winter 2023
Instructors: Saltiel, Fernando (Winter)
3-6 credits from:
Economics (Arts) : A broad treatment of econometric methods, with particular reference to time series processes. Estimation of linear and non-linear models, GLS, IV, Maximum Likelihood, parametric specification testing for linear and non-linear hypotheses, diagnostic testing (autocorrelation, heteroskedasticity, normality, parameter constancy, etc.), modelling technique, non-stationary data processes.
Terms: Fall 2022
Instructors: Davidson, Russell (Fall)
Students must register for both ECON 662D1 and ECON 662D2
No credit will be given for this course unless both ECON 662D1 and ECON 662D2 are successfully completed in consecutive terms
ECON 662D1 and ECON 662D2 together are equivalent to ECON 662
Economics (Arts) : See ECON 662D1 for course description.
Terms: Winter 2023
Instructors: Chaudhuri, Saraswata; Wang, Endong (Winter)
Prerequisite: ECON 662D1
No credit will be given for this course unless both ECON 662D1 and ECON 662D2 are successfully completed in consecutive terms
ECON 662D1 and ECON 662D2 together are equivalent to ECON 662
Economics (Arts) : A survey of quantitative methods frequently used in economic research. Special emphasis will be placed upon the formulation and evaluation of econometric models. Illustrations will be drawn from the existing empirical literature in economics. Required for all Ph.D. students who have not taken Econometrics as a field.
Terms: Fall 2022
Instructors: Grimard, Franque (Fall)
6-9 credits at the 500, 600, or 700 level, as determined by the student's area of study.