ECON 475

Summer 2026 Part of Term S2

Part of Term S2
(8 week) Jun 15-Aug 6

Economic Forecasting

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Credit: 3 OR 4 hours.

Overview of modern, quantitative, statistical and econometric methods for forecasting and evaluating forecasts. Topics include linear regressions; modeling and forecasting trends and seasonality; characterizing and forecasting cycles; MA, AR, and ARMA models; forecasting with regressions; evaluating and combining forecasts. Advanced topics include unit roots, stochastic trends, ARIMA models, and smoothing will be covered as time permits.

3 undergraduate hours. 4 graduate hours. Prerequisite: ECON 203; ECON 302; MATH 220/MATH 221 are required. MATH 231 is recommended.

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ECON 475 class schedule data for summer 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			42322	Online	ONL	ARRANGED	n.a.	n.a.	Da Cunha Rodrigues, F	Availability: Open (Restricted) Part of Term: S2 Date Range: 06/15/26-08/06/26 Credit: 3 hours Section Info: This is an asynchronous course that uses Canvas as its Learning Management System. This course will be flexible to accommodate students' schedules. All materials required for class will be available on Canvas. There will be two midterm exams and a final exam. They will consist of take-home exams in which students will have 1 week to submit their answers on Canvas. Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).