Wondering why to choose an economics program? We asked some of our students.
Our academic advisors have compiled the responses to the most frequently asked questions (FAQs). Your question is probably on the list. Trust us.
Scheduling information is available on the Timetable Builder
ECO353H1S LEC0101- Special Topics in Economics with Data Analytics: Sports Economics
This applied economics course used both theoretical and empirical analysis to explore aspects of the economics of sports and sports leagues. We start by considering the business of professional sports—how teams and leagues make money—and then delve into further topics including competitive-balance policies, athlete labour markets, and the relationship between professional leagues and their amateur counterparts (e.g., US university sports). Representative data assignments include exploring team profitability and athlete value.
Exclusion: RSM384H1, MGEC45H3
ECO421H1F LEC0101 - Special Topics in Economics: Capital Markets, (in)efficiencies, and (ir)rationality
This course in financial microeconomics assesses capital-market efficiency and equilibrium predictions in light of uncertainty, market design, agent behaviour and market microstructure. Starting with fundamental questions such as why markets and firms are organized as they are, we identify consistent conflicts of interest in capital markets amongst individuals, groups, organizations and exchanges. Ultimately, we investigate questions such as when and if asset prices accurately reflect information and whether seemingly irrational participant behaviour can be rationalized. To address these questions, we use a combination of theoretical and empirical approaches taking the perspectives of both the academic and the practitioner. A previous course addressing asset valuation is helpful but not required.
Scheduling information is available on the Timetable Builder
ECO353H1S LEC0101- Special Topics in Economics with Data Analytics: Sports Economics
This applied economics course used both theoretical and empirical analysis to explore aspects of the economics of sports and sports leagues. We start by considering the business of professional sports—how teams and leagues make money—and then delve into further topics including competitive-balance policies, athlete labour markets, and the relationship between professional leagues and their amateur counterparts (e.g., US university sports). Representative data assignments include exploring team profitability and athlete value.
Exclusion: RSM384H1, MGEC45H3
ECO353H1S LEC5101 - Special Topics in Economics: Economics of Algorithms
Algorithms make consequential decisions in our society on everything from music, medicine, transportation, criminal justice, and beyond. As a result, policymakers and academics are becoming increasingly concerned with the issues that arise in their applications. This course uses theoretical and empirical analysis to explore the economics of algorithms. We start by introducing some basics of algorithms and the associated economic tradeoffs. Then we explore how algorithms affect the labor market, industrial organization, and information economy.
ECO481H1F LEC0101 & LEC0201 - Special Topics in Economics with Data Analytics: Health and Economic Inequality
People with high incomes or high socioeconomic status not only have access to greater opportunities for consumption, leisure, education, etc, they also live substantially longer and spend their lives in better health. This course provides an interactive overview of the key themes in recent research examining health and economic inequality, paying particular attention to the bidirectional causal relationship: poor health can lead to poor economic outcomes, while economic insecurity can have serious health implications. Through reading and discussing academic papers, we investigate social and economic determinants such as income, geography, family, health care, race and gender.
We are offering pre-enrolment for some 400-level ECO courses for Fall-Winter 2023-24, for fourth-year students who have not yet fulfilled the 400-level Economics program requirement. The purpose of this pre-enrolment process is to ensure that students who require one or two 400-level courses for program completion are better able to enroll in a course. If you qualify for Course Match, you will receive an email from the Undergraduate Office in early June. For more information, see Economics: Course Match.
On February 1st, we were thrilled to fete our award winners.
Starting 2020–2021, students will be able to add the Focus in Data Analytics to the Economics Major or Specialist program. The focus ensures that students gain proficiency in applied empirical economics. It provides students with hands-on exposure to the tools empirical economists use to build and analyze datasets - programming languages such as Python, and software programs to manage, statistically analyze, and visualize data such as Excel, GIS, Stata and R. The focus will also direct students to empirical economics courses that apply these tools in a wide variety of contexts. Please see the Focus in Data Analytics (Major) or Focus in Data Analytics (Specialist) typical pathway handout for highlights and refer to the Calendar for details.
Wondering why to choose an economics program? We asked some of our students.
Our academic advisors have compiled the responses to the most frequently asked questions (FAQs). Your question is probably on the list. Trust us.
Scheduling information is available on the Timetable Builder
ECO353H1S LEC0101- Special Topics in Economics with Data Analytics: Sports Economics
This applied economics course used both theoretical and empirical analysis to explore aspects of the economics of sports and sports leagues. We start by considering the business of professional sports—how teams and leagues make money—and then delve into further topics including competitive-balance policies, athlete labour markets, and the relationship between professional leagues and their amateur counterparts (e.g., US university sports). Representative data assignments include exploring team profitability and athlete value.
Exclusion: RSM384H1, MGEC45H3
ECO421H1F LEC0101 - Special Topics in Economics: Capital Markets, (in)efficiencies, and (ir)rationality
This course in financial microeconomics assesses capital-market efficiency and equilibrium predictions in light of uncertainty, market design, agent behaviour and market microstructure. Starting with fundamental questions such as why markets and firms are organized as they are, we identify consistent conflicts of interest in capital markets amongst individuals, groups, organizations and exchanges. Ultimately, we investigate questions such as when and if asset prices accurately reflect information and whether seemingly irrational participant behaviour can be rationalized. To address these questions, we use a combination of theoretical and empirical approaches taking the perspectives of both the academic and the practitioner. A previous course addressing asset valuation is helpful but not required.
Scheduling information is available on the Timetable Builder
ECO353H1S LEC0101- Special Topics in Economics with Data Analytics: Sports Economics
This applied economics course used both theoretical and empirical analysis to explore aspects of the economics of sports and sports leagues. We start by considering the business of professional sports—how teams and leagues make money—and then delve into further topics including competitive-balance policies, athlete labour markets, and the relationship between professional leagues and their amateur counterparts (e.g., US university sports). Representative data assignments include exploring team profitability and athlete value.
Exclusion: RSM384H1, MGEC45H3
ECO353H1S LEC5101 - Special Topics in Economics: Economics of Algorithms
Algorithms make consequential decisions in our society on everything from music, medicine, transportation, criminal justice, and beyond. As a result, policymakers and academics are becoming increasingly concerned with the issues that arise in their applications. This course uses theoretical and empirical analysis to explore the economics of algorithms. We start by introducing some basics of algorithms and the associated economic tradeoffs. Then we explore how algorithms affect the labor market, industrial organization, and information economy.
ECO481H1F LEC0101 & LEC0201 - Special Topics in Economics with Data Analytics: Health and Economic Inequality
People with high incomes or high socioeconomic status not only have access to greater opportunities for consumption, leisure, education, etc, they also live substantially longer and spend their lives in better health. This course provides an interactive overview of the key themes in recent research examining health and economic inequality, paying particular attention to the bidirectional causal relationship: poor health can lead to poor economic outcomes, while economic insecurity can have serious health implications. Through reading and discussing academic papers, we investigate social and economic determinants such as income, geography, family, health care, race and gender.
We are offering pre-enrolment for some 400-level ECO courses for Fall-Winter 2023-24, for fourth-year students who have not yet fulfilled the 400-level Economics program requirement. The purpose of this pre-enrolment process is to ensure that students who require one or two 400-level courses for program completion are better able to enroll in a course. If you qualify for Course Match, you will receive an email from the Undergraduate Office in early June. For more information, see Economics: Course Match.
On February 1st, we were thrilled to fete our award winners.
Starting 2020–2021, students will be able to add the Focus in Data Analytics to the Economics Major or Specialist program. The focus ensures that students gain proficiency in applied empirical economics. It provides students with hands-on exposure to the tools empirical economists use to build and analyze datasets - programming languages such as Python, and software programs to manage, statistically analyze, and visualize data such as Excel, GIS, Stata and R. The focus will also direct students to empirical economics courses that apply these tools in a wide variety of contexts. Please see the Focus in Data Analytics (Major) or Focus in Data Analytics (Specialist) typical pathway handout for highlights and refer to the Calendar for details.