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Viewing: ECON 6376 : Time Series Analysis

Last approved: Thu, 21 Apr 2016 09:12:36 GMT

Last edit: Wed, 20 Apr 2016 15:05:55 GMT

Catalog Pages referencing this course
Programs referencing this course
Columbian College of Arts and Sciences
Economics (ECON)
ECON
6376
Time Series Analysis
Time Series Analysis
Fall 2015
3
Course Type
Lecture
Default Grading Method
Letter Grade
applied economics MA students only
No
No
ECON 6374, ECON 6305
Corequisites

30

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


The objective of this course is to give students the tools required to understand, implement, and interpret common models used in time series econometrics. Emphasis is placed on intuition and application. The course will both help students understand how to use time series data to test hypotheses and serve as an introduction to the ideas and techniques of forecasting. Topics covered are: time series properties of data (unit roots, near unit roots, stationarity), difference equations, stationary models (autoregressive and moving-average models), models with trends (deterministic and stochastic), multi-equation models (reduced-form and structural VARs), cointegration and error-correction models, models with time-varying coefficients, forecasting models, and basic forecast evaluation. Students will become proficient with performing basic time series analysis and forecasting using time series statistical software.
As a result of completing this course, students will be able to: 1. Understand time series data, test for stationarity or trends. 2. Perform and evaluate hypothesis tests and other statistical methods for time series analysis including VARs, and regression analysis of time series data. 3. Utilize econometric software for time series analysis and economic forecasting. 4. Evaluate forecasts and test different forecast models.
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Key: 9881