Economic Forecasting

Catalog description

Credits 3. 3 Lecture Hours. Application of econometric techniques to the prediction of economic and financial variables; develops tools for modeling and forecasting with time-series data; covers model specification, estimation and evaluation using methods such as ARMA models, trend analysis and tests for structural change; examines issues of overfitting, model selection and forecast combination; explores the assessment of forecast accuracy; integrates theoretical and empirical approaches using statistical software to generate and evaluate forecasts in real-world settings. Prerequisites: Grade of C or better in ECMT 463 ; junior or senior classification.