Macroeconometrics
SYLLABUS
ECON 397
Fall 2005
Instructor: Professor S. Cunningham
Office: Room 418 Monteith Hall
Telephone: (860) 486-3550; Department Office (860) 486-3022
Summary:
This course introduces graduate students to the most econometric techniques most widely employed by macroeconomists and financial economists in their research. Knowledge of these techniques is a crucial pre-requisite to engaging in meaningful scholarly debate in these fields.
The course assumes that the students are familiar with basic estimator theory and the classical linear normal regression model (CLNRM). This course requires significant mathematical maturity.
Grading and Assignments:
Students are expected to attend every class, and to keep up with all assignments. We will cover a lot of material in a very short time so that it is critical that students do not fall behind.
The course grade will be based upon grades on a computing assignments, a mid-term exam, and a final exam. The final exam will be given on the last day of class. The mid-term and the final exam will each count 40% of the final grade. Computing assignments will be evaluating as satisfactory or unsatisfactory (A or F), and will count 20% of the final grade.
That is, the grading can be summarized as follows:
Mid-Term Exam: 40%
Final Exam: 40%
Assignments: 20%
Lecture #2 in Acrobat
Lecture #3 in Acrobat
Lecture #4 in Acrobat
Lecture #5 in Acrobat
Lecture #1 on Spectra in
Acrobat
Lecture #2 on Spectra in Acrobat
Lecture on Band Spectrum Regression in Acrobat
Lecture on Cepstra
Traditional Smoothing and Seasonal Adjustment
Unit Roots and Cointegration
More on Cointegration
More on Unit Roots
ARIMA1
More on Single Equation Cointegration Tests
ARCH1
Files:
GNPC96.xls
GNPC96Spectrum.xls
M2NS.xls
M2SL.xls
Spectrum.xls
ResponseM2.xls
COURSE SCHEDULE
Weeks 1 - 4: August 31 and September 15
Econometric Methodology & Complex Analysis
Week 5 - 9: September 27 - October 27
Time Series in the Time and Frequency Domains
Week 10: November 1
Week 11: November 8
Box-Jenkins Models in Theory & Practice
Weeks 13: November 29
Other Multi-equation Models
Week 14: December 6
Structural Breaks and Miscellaneous Topics
READING LIST (Still being updated!)
General Econometric Texts
Enders, Walter. Applied Econometric Time Series, 2nd edition. Wiley (2004).
Pindyck, Robert S., and Daniel L. Rubinfeld. Econometric Models and Economic Forecasts, 4th edition. Irwin/McGraw-Hill (1998)
Specialized Texts
Blackman , R. B., and J. W. Tukey. The Measurement of Power Spectra, from the Point of View of Communications Engineering. Dover (1959)
Box, G.E.P., and G.M. Jenkins, Time Series Analysis. Holden-Day (1976).
Bracewell, Ronald N. The Fourier Transform and its Applications. McGraw-Hill (1978).
Brigham, E. Oran. The Fast Fourier Transform. Prentice-Hall (1974).
Churchill, Ruel V. Operational Mathematics. McGraw-Hill (1972).
Churchill, Ruel V., James W. Brown, and Roger F. Verhey, Complex Variables and Applications. McGraw-Hill (1976).
Cooper, George R., and Clare D. McGillem. Probabilistic Methods of Signal and System Analysis. Holt, Reinhart, and Winston (1971).
Granger, C.W.J., and P. Newbold, Forecasting Economic Time Series. John Wiley & Sons (1986).
Jenkins, G.M., and D.G. Watts, Spectral Analysis and Its Implications. Holden-Day (1968).
Oppenheim, Alan V., and Ronald W. Schafer. Digital Signal Processing. Prentice-Hall (1975).
Robinson, Enders A., and Manuel T. Silvia. Digital Foundations of Time Series Analysis: The Box-Jenkins Approach. Holden-Day (1979).
Frequency Domain Analysis (Spectral Analysis)
Bartlett, M. S., "Smoothing Periodograms from Time Series with Continuous Spectra," Nature 161 (1948), 686-687.
__________, "Periodogram Analysis and Continuous Spectra," Biometrika 37 (1950), 1-16.
Beveridge, W.H., "Weather and harvest cycles," Economic Journal 31 (1921), 429-452.
__________, "Wheat prices and rainfall in Western Europe," Journal of the Royal Statistical Society 85 (1922), 412-459.
Parzen, E., "On consistent Estimates of the Spectrum of a Stationary Time Series," Annals of Mathematical Statistics 28 (1957), 329-348.
Unit Roots, Near Unit Roots, Spurious Regression
Dickey and Fuller (1984, 1986) Seasonality.
Diebold, F., and Rudebusch, G. (1989) "Long Memory and Persistence in Aggregate Output," Journal of Monetary Economics 24, 189-209.
Granger, C., and Newbold, P. (1974), "Spurious Regressions in Econometrics," Journal of Econometrics 26, 1045-1066. (Unit Roots)
Granger, C., and Joyeaux, R. (1980) "An Introduction into Long Memory Time Series Models and Fractional Integration," Journal of Times Series Analysis 1, 15-39.
Granger, C. (1981) "Some Properties of Time Series Data and Their Use in Econometric Model Specification," Journal of Econometrics 28, 121-130.
Nelson, C.R., and C.I. Plosser, "Trends and Random Walks in Macroeconomic Time-Series: Some Evidence and Implications," Journal of Monetary Economics 10 (1982), 139-162.
Phillips, P. (1987) "Time Series Regression with a Unit Root," Econometrica 55, 277-301.
Phillips, P. "Regression Theory for Near-Integrated Time Series",
Phillips and Ouliaris (1988) Journal of Economic Dynamics and Control.
Stock, J., and Watson, M. "Variable Trends in Economic Time Series," Journal of Economic Perspectives 2 (Summer 1988), 147-174. (Survey of unit roots.)
Schwert, G., (1987) "Effects of Model Specification on Tests for Unit Roots in Macroeconomic Data," Journal of Monetary Economics 20, 73-103.
Cointegration and Error Correction
Granger, C. (1986) "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics 48, 213-228. (Excellent Survey)
Hendry, D. (1986) "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics 48, 201-212. (Excellent Survey)
VARs
Sims, Christopher A., "Macroeconomics and Reality," Econometrica Vol. 48 No. 1 (January 1980), 1-48.
Causality Testing
Cunningham, Steven R., and Jon Vilasuso, "Time Aggregation, and the Money-Real GDP Relationship", Journal of Macroeconomics, vol. 19 No. 4 (Fall 1997), 675-696.
__________, "Time Aggregation and Causality Tests: Results from a Monte Carlo Experiment", Applied Economics Letters Vol. 2 No. 10 (October 1995), pp. 403-405.
Deseasonalization and Decomposition
ARCH Models
Bollerslev, T. (1988) "On the Correlation Structure for the Generalized Autoregressive Conditional Heteroskedastic Process," Journal of Time Series Analysis, 121-32.
Bollerslev, T. (1986). "Generalized Autogressive Conditional Heteroskedasticity," Journal of Econometrics, 307-27.
Engle, Robert F., "Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica (July 1982), 987-1007.
Engle (1983) JMCB. (U.S. Inflation variance.)
Engle, Hendry, and Trumble (1985). Canadian Journal of Economics.
Engle, R.F., Lilien, D.M., and Robbins, R.P. (1987) "Estimating the Time Varying Risk Premia in the Term Structure: The ARCH-M Model," Econometrica, 391-408.
Engle and Bollerslev (1986). "Modeling the Persistence of Conditional Variances," Econometric reviews, 1-50.
Osborne et al. (1988)
Pagan, et al. (1983). REStud.
Pagan, A., and Wickens, M. (1989) "A Survey of Some Recent Econometric Methods," Economic Journal 99, 962-1025.
Weiss, AA. (1984) "ARMA Models with ARCH Errors," Journal of Time Series, 129-43.