University at Buffalo 3 credits Economics
This is an introductory course for time series analysis with an emphasis on prediction. Forecasting is important in decision making process of economic agents, because of the simple fact: most economic variables of interest vary randomly over time. Topics include: stationary ARMA processes, forecasting, covariance-stationary vector processes, vector auto-regressions, models of non-stationary time series, and processes with deterministic time trends, univariate processes with unit roots, unit roots in multivariate time series, co-integration, and time series models of hetero-skedasticity.
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