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Apr 25, 2024
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ECON 416 - Time Series Analysis This course focuses on modeling time series data and estimating time series relationships by applying linear regression analysis to the assessment of dynamic causal effects and to economic forecasting. The topics covered include trends and seasonality, stationarity, serial correlation and heteroskedasticity, unit roots, and autoregressive moving average (ARMA) modeling.
Credit 3 hrs May not be repeated for additional credit Grade Mode Normal (A-F) Course Rotation
Prerequisite(s) ECON 415 Class-Level Restriction Undergraduate standing
Notes - Previously listed as ECON 416 - Time-Series Econometrics Updates Change to title, description, and prerequisites 4/2018, effective Fall 2018; New Course 2/2017, effective Fall 2017
Summer 2024 Course Sections
Fall 2024 Course Sections
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