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ECON 6070 - Econometrics II
Second core course in econometrics for students pursuing an M.A. in Economics. Emphasizes methods of time series analysis, including Box-Jenkins methods, general-to-specific modeling, volatility models, vector autoregressions, unit roots and cointegration, unobserved component and state space models, and neural networks. Integrates practical applications in various computing environments including SAS, RATS, and MATLAB.
3.000 Credit hours

Levels: Graduate
Schedule Types: Lecture

Economics and Finance Department

Course Attributes:
College of Business Course Fee

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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Release: 8.7.2.4