James Hamilton
University of California, San Diego
Economics 220E
Winter 2006

Required Text

The following book is required and available at the UCSD bookstore:

James D. Hamilton, Time Series Analysis, Princeton University Press, 1994.

Also, results from the following papers will be used:

Donald W.K. Andrews (1993), "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica 61, pp. 821-856.

Jordi Gali (1996), "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," NBER Working Paper 5721. Shorter version appeared in 1999 in American Economic Review 89, pp. 249-271.

Grading policy

Grades for Econ 220E will be determined as follows:

30%: Midterm Exam. This will be on Tuesday, Feb. 7. No books or notes allowed.

20%: Paper. This should be turned in to Professor Hamilton's mailbox by Friday, March 17. A separate document describes the requirements for this.

50%: Final exam. This will be on Thursday, March 23, 8:00 - 11:00 a.m. No books or notes allowed.

Resources

This is a live document that will be continually revised during the quarter: it is recommended you check it periodically at http://dss.ucsd.edu/~jhamilto/Econ220E.html. Some lectures will use Powerpoint slides, pdf versions of which can be downloaded and students may wish to bring these to class. Since changes may be made at the last minute, the recommendation is to check the "Powerpoint" links below the night before class and download and print out at that time. There are also numerous examples available that you can download by following the links below, which are all written to use the RATS software package, ten copies of which should be in the computer lab by the time we get to this material.

Office Hours

Regular office hours for Econ 220E will be Wed 1:30-2:30 in Econ 307. Exceptions: no office hours Wed Feb 8 (instead available Tuesday Feb 7 12:30-1:30) and no office hours Wed March 15 (instead available Mon March 13 10:00-12:00).


Course Outline

Date Reading Powerpoint Examples Topic
Tues Jan 10 Chap 1 Ex_01_1 Difference equations
Thurs Jan 12 Chap 2 Lag operators
Tues Jan 17 Chap 3 Ex_03_3, Ex_03_4 ARMA processes
Thurs Jan 19 Chap 4 Ex_04_8 Forecasting
Tues Jan 24 Chap 5 Maximum likelihood estimation
Thurs Jan 26 Sect 6.1-6.3 Spectral analysis-- theory
Tues Jan 31 Sect 6.4 Ppt_06_4 Ex_06_4 Spectral analysis-- applications
Thurs Feb 2 Chap 7-8 Ppt_07 Asymptotic and small-sample distributions
Tues Feb 7 In-class midterm exam
Thurs Feb 9 Chap 15-16 Unit roots and time trends
Tues Feb 14 Chap 16 Deterministic time trends (cont'd)
Thurs Feb 16 Chap 17 Unit root asymptotics
Tues Feb 21 Chap 17 Ex_17_7 Unit root testing
Thurs Feb 23 Chap 10; Andrews Ppt_11_intro Ex_11 VARs: estimation, forecasting, hypothesis test
Tues Feb 28 Sect 11.1-5 Ppt_11_4 VARs: impulse-response and variance decomp
Thurs Mar 2 Sect 11.6; Gali Ppt_11_6 VARs: structural inference
Tues Mar 7 Sect 11.7 Ppt_11_7 VARs: confidence intervals
Thurs Mar 9 Chap 18 Unit roots in vector time series
Tues Mar 14 Chap 19 Ex_19_2 Cointegration
Thurs Mar 16 No scheduled class
Thurs Mar 23 Final exam (8:00 - 11:00 a.m.)