Max Sties
Contact
Assistant Lecturer, Faculty of Arts - Economics Dept
- sties@ualberta.ca
Courses
ECON 102 - Introduction to Macroeconomics
Employment, inflation, international payments, monetary policy, and fiscal policy, all in the Canadian economy. Prerequisite: ECON 101 or consent of Department. Not open to students with credit in ECON 204.
ECON 281 - Intermediate Microeconomic Theory I
The theory of consumer behavior; theory of production and cost; price and output determination under competition, monopoly and other market structures. Prerequisite: ECON 101 or equivalent.
ECON 282 - Intermediate Macroeconomic Theory I
Models of price, interest rate, output, and employment determination; the impact of fiscal, monetary, and supply shocks; open economy macroeconomics with fixed and flexible exchange rates, and prices as well as international capital mobility. Prerequisite: ECON 101 and 102 or consent of Department.
ECON 350 - The Economics of Public Expenditures
Analysis of public sector expenditures in Canada. The rationale for government spending and the problems in the provision of public services. Prerequisites: ECON 109 and ECON 281.
ECON 385 - Intermediate Macroeconomic Theory II
Designed for majors and Honors students in Economics. Theories of stabilization policy; expectations; the government budget constraint; inflation and unemployment; business cycles and growth; theories of aggregate consumption, investment, money demand, and money supply. Prerequisites: ECON 109, ECON 281, 282 and 299 or equivalent, and MATH 156 or equivalent.
ECON 494 - Economic Data Analysis I
Computer programming for the statistical analysis and econometric modelling of data in economics. The statistical programs introduced and used in the course include SAS, R, Python or similar computer programming languages. Prerequisites: ECON 109 and ECON 299 or equivalent.
ECON 594 - Economic Data Analysis II
Computer programming for the statistical analysis and econometric modelling of data in economics. The statistical programs introduced and used in the course include SAS, R, Python or similar computer programming languages.