The use of statistical techniques to estimate and test economic models. Topics include multiple regression, multicollinearity, serial correlation, heteroskedasticity, simultaneous equations, limited dependent variables, and time series/forecasting. Prerequisite: Economics 111, second-year standing, Statistics 209, Statistics 309, Statistics 310 or Mathematics/Statistics 335. Economics 280 or Economics 282 recommended. LEE, GRAHAM
Recent sections
Fall 2026 · 3 sections
Aug 27 – Dec 18
Section
Days & time
Location
Instructor
01Class #97964-ECN-286-01
Days & timeTuesday, Thursday 9:30 AM - 10:50 AM Humanities and Social Studies N2170 (Lecture)
LocationHumanities and Social Studies N2170
InstructorMinseog Kim
01 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.
02Class #97965-ECN-286-02
Days & timeTuesday, Thursday 8:00 AM - 9:20 AM Humanities and Social Studies S3321 (Lecture)
LocationHumanities and Social Studies S3321
InstructorLogan Lee
02 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.
03Class #97966-ECN-286-03
Days & timeTuesday, Thursday 1:10 PM - 2:30 PM Humanities and Social Studies S3321 (Lecture)
LocationHumanities and Social Studies S3321
InstructorLogan Lee
03 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.