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Economics 582
Econometric Theory II

Course Description

Spring 2004

Office Hours: F 10-11 or by appointment

Eric Zivot
M228 Savery Hall
543-6715

This course is a continuation of Econ 581 (Econometric Theory II) and covers a number of topics in econometrics including instrumental variables regression, maximum likelihood estimation and limited dependent variables models, multivariate regression (seemingly unrelated regression, panel data, simultaneous equations models), time series, and dynamic regression models, This course will stress models and methods over proofs (for proofs etc. take Econ 583). We will spend a great deal of time on the computer doing applied econometrics, and we will use the EVIEWS and MATLAB for most of our assignments.

Course Prerequisites

Satisfactory completion of Econ 581 or equivalent.

Course Requirements

Credit for this course is obtained by successfully completing

  • weekly homework assignments (10%)
  • bi weekly computer labs (30%)
  • midterm exam (30%)
  • final exam (30%)

Homework

There will be weekly homework assignments, which will be mostly analytic questions, and bi-weekly computer labs using EVIEWS and/or MATLAB. Regarding the homework assignments and computer programs, I will provide detailed instructions for using EVIEWS and MATLAB. EVIEWS and MATLAB are available on the CSSCR network and in the economics computer lab on the third floor of Savory Hall. The econ dept at UW has a site license agreement with QMS (makers of EVIEWS) so that students may purchase EVIEWS at a heavily discounted price. See Sharon or Dick Startz for the paperwork to purchase EVIEWS on the UW site license.

Quiz Section

There will be Thursday discussion sessions with the teaching assistant, Kristina Nagi. Her quiz section webpage is http://students.washington.edu/knagy/econ582sp04.html.

Textbooks and Other Background Material

The required textbooks are (the same textbooks are used in Econ 581):

  • Econometric Theory and Methods, by Russell Davidson and James G. MacKinnon, Oxford University Press, 2004.
  • Econometric Analysis, Fourth Edition, by William Greene, Prentice Hall, 2000.
  • Introductory Econometrics: A Modern Approach, Second Edition, by Jeffrey M. Wooldridge, South-Western, 2003.

Note: Some of the computer lab assignments will be taken from Ernst Berndt's book The Practice of Econometrics

Other Useful Textbooks in Econometrics

Basic econometrics (advanced undergraduate texts - good intuition and less math)

  • Introduction to Econometrics, by G.S. Maddala, Second Edition, MacMillan, 1992.
  • Introductory Econometrics with Applications, by Ramu Ramanathan, Third Edition, Dryden, 1995.

Applied Econometrics

  • The Practice of Econometrics: Classic and Contemporary, by Berndt, E., Addison-Wesley, 1991
  • An Introduction to Applied Econometric: A Time Series Approach, by Kerry Patterson, St. Martin's Press, 2000.
  • Econometric Models, Techniques, and Applications, Second Edition, by Intriligator, Bodkin and Hsiao, Prentice Hall, 1996.

Intermediate Econometrics (first year graduate texts - requires linear algebra)

  •  
  • A Guide to Modern Econometrics, by M. Verbeek, John Wiley & Sons, 2000.
    • Excellent short and concise treatment of the basics of graduate level econometrics. Highly recommended.
  • An Introduction to Classical Econometric Theory, by Paul A. Ruud, Oxford, 2000.
    • Excellent modern treatment. Somewhat on the theoretical side with slightly strange notation.
  • Econometric Foundations, by Judge, Middlehammer and Miller.
    • Solid text with GAUSS examples.
  • Econometric Methods, Fourth Edition, by Jack Johnston and John Dinardo, McGraw-Hill, 1997.
    • Classic text but feels dated.
  • Econometrics, by Badi Baltagi, Springer, 1998
  • Introduction to the Theory and Practice of Econometrics, by Judge, Griffiths, Hill, Lutkepohl and Lee, Wiley, 1992, (Baby Judge)
    • Good for those weak in linear algebra. Friendly text with lots of hand-holding.
  • A Course in Econometrics, by Arthur Goldberger, Harvard, 1991.
    • Stresses the link between conditional expectation and regression
  • Introduction to Econometrics, by Ronald Gallant, Princeton, 1997.

Advanced Econometrics (second year graduate texts - lots of math and statistics)

  • Econometrics, by Fumio Hyashi, Princeton University Press, 2000.
    • Excellent discussion of GMM. I use this as the main textbook for Econ 583. 
  • Econometric Theory, by James Davidson, Basil Blackwell, 2000.
  • The Theory and Practice of Econometrics, Second Edition, by Judge et al., Wiley, 1994 (Big Daddy Judge).
    • An encyclopedia of topics. Somewhat out of date but still a classic.
  • Advanced Econometrics, by T. Amemiya, Harvard, 1985.
    • Classic advanced text. 
  • Estimation and Inference in Econometrics, by Russel Davidson and James MacKinnon, Oxford, 1993.
    • A truly great book! Emphasizes nonlinear regression and geometry.
  • Statistics and Econometric Models, Vols. 1 & 2, by Christian Gourieroux and Alain Monfort, Cambridge University Press, 1995.
  • Statistical Foundations for Econometric Techniques, by Asad Zaman, Academic Press, 1996.