ECON266

ECONOMIC FORECASTING

Department
Economics
Terms offered
1
Data refreshed
Jun 27, 2026

Description

This course provides an overview of modern statistical and econometric methods for forecasting. The objective is to provide students with tools and understanding to conduct economic forecasting, estimate different econometric models, compare forecasting models, and perform basic data and regression analysis. By the end of the course, students will be able to formulate a forecasting model for a question of interest, estimate it, evaluate its accuracy, and interpret the results.

Syllabi

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Offerings and forecast 2026

2026

Sections by year and season
YearFallSpringSummerIntersession
2030 2030 Fall: not enough history to forecast. 2030 Spring: not enough history to forecast. 2030 Summer: not enough history to forecast. 2030 Intersession: not enough history to forecast.
2029 2029 Fall: not enough history to forecast. 2029 Spring: not enough history to forecast. 2029 Summer: not enough history to forecast. 2029 Intersession: not enough history to forecast.
2028 2028 Fall: not enough history to forecast. 2028 Spring: not enough history to forecast. 2028 Summer: not enough history to forecast. 2028 Intersession: not enough history to forecast.
2027 2027 Fall: not enough history to forecast. 2027 Spring: not enough history to forecast. 2027 Summer: not enough history to forecast. 2027 Intersession: not enough history to forecast.
2026 Not offered 1 section Not offered No data
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data

Meeting times

Recent first
  • Tue, Fri, 1:25 PM–2:40 PM JC206 2026
Credit-bearing sections of ECON266
TermProfessorTypeCreditsEnrollmentCRN
Spring 2026Mehedi Hasan OniLecture1 15 of 25 enrolled34655