menu
InstagramTwitterLinkedIn

Faculty of Arts & Science · St. George

ECO439H1

Empirical Methods in Microeconomics

Prerequisite1 requirement, 5 options
Total contact hours24 lecture · 12 tutorial
Evidence3 papers

What was the average?

Not reported

No student has contributed a result for this offering yet.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

Unknown

A small number of terms, so read it as a range.

From the calendar

Official source · Faculty of Arts & Science

This course studies the methods used in modern program evaluation and micro-econometrics to identify causal effects in the presence of potentially unobserved confounding factors. Covers a range of methods and designs, both experimental and quasi-experimental. There is a heavy emphasis on the application of these methods to a broad range of economic questions. Note: hands-on analysis of real-world data using computer programs is a course requirement. The course is open to all students who meet the prerequisites and necessary support for applicable software is provided.

Contact hours
24 lecture · 12 tutorial
Total scheduled hours for the course, not per week.

Any one of these

ECO372H1(70%), ECO374H1(70%), ECO375H1(60%)) OR ( ECO200Y1(80%), ECO204Y1(80%), or ECO206Y1(80%), ( ECO220Y1(80%)/ ECO227Y1(80%)

How well we know this course

2022–2024

Pyko’s archive holds 5 documents for ECO439H1, across 3 years between 2022 and 2024.

3
Final exams
2
Syllabi

Counts, not a library. Pyko does not host or distribute course files, and this page is not an offer to supply one — the archive is what lets these pages describe how a course is assessed, which matters most where no syllabus has been verified.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.
A course averageNo term has been reported for this offering. Averages come from students who contribute their own results, and nobody has yet.
Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Source ledger

Report an error →
Sources behind every claim on this page
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursFaculty of Arts & Science2026-07-25public fact
5 archived documents, 2022-2024Pyko archive2026-07-25index only

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

Everything above is history. Yours isn’t written yet.

Add ECO439H1 and Pyko tracks what you've earned against your own grading scheme.

Pyko is an independent student platform. It is not affiliated with, endorsed by, or operated by the University of Toronto. Course names and codes are used descriptively to identify courses.

ECO439H1 past exams — UofT | Pyko