<p>Lecture, three hours. Preparation: familiarity with data analysis software (e.g., R, Excel, MATLAB, Stata) and/or programming experience. Enforced requisites: courses 101, 103, 103L, 104, 104L. Survey of theory and application of time-series methods to forecasting in economics, business, and government. Topics include modeling and forecasting trend, seasonality, and cycles. Discussion of stochastic trends, volatility measure, and evaluation of forecasting techniques. Hands-on approach to real-world data analysis methods widely used by economists and other professionals. P/NP or letter grading.</p>

Economics

College of Letters and Science

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ECON 144 - Economic Forecasting

Economic Forecasting

Students will learn how to apply software for numerical data analysis and forecasting.

Students will learn how to apply mathematical techniques to solve forecasting problems, and how to interpret their results.

Students will learn how to specify a model that is consistent with economic theory.

Students will learn the quantitative methods for economic forecasting.

General Catalog

Economic Forecasting

ECON 144

4 units