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Topics in time series regression modeling

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  • Christopher F. Baum

    (Department of Economics, Boston College, Chestnut Hill, MA)

Abstract

This talk will discuss the use of a number of Stata commands, some "official" and some user-contributed, in the context of working with time-series and panel data. Testing for endogeneity/exogeneity of regressors, heteroskedasticity in an instrumental variables context, and fitting regression models with ARMA errors will be considered, as well as a number of tests for stationarity of single or multiple time series, including stationarity in the presence of structural breaks.

Suggested Citation

  • Christopher F. Baum, 2004. "Topics in time series regression modeling," United Kingdom Stata Users' Group Meetings 2004 7, Stata Users Group, revised 26 Jul 2004.
    • Handle: RePEc:boc:usug04:7
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    References listed on IDEAS

    as
    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Perron, Pierre & Vogelsang, Timothy J., "undated". "Level Shifts and Purchasing Power Parity," Instructional Stata datasets for econometrics levshift, Boston College Department of Economics.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    5. Christopher F. Baum, 2001. "Tests for stationarity of a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    6. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
    7. Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 1999. "Long memory or structural breaks: can either explain nonstationary real exchange rates under the current float?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 359-376, November.
    8. Christopher F. Baum & Vince Wiggins, 2001. "Tests for long memory in a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    9. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    10. Christopher F. Baum & Vince Wiggins, 2001. "Utility for time series data," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    11. Baum, Christopher F., 2004. "A review of Stata 8.1 and its time series capabilities," International Journal of Forecasting, Elsevier, vol. 20(1), pages 151-161.
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    Cited by:

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    2. Mohamad, Shahriari & Aliandrina, Dessy & Feng, Yan, 2005. "Human Errors in Decision Making," MPRA Paper 8171, University Library of Munich, Germany.
    3. Talat Afza & Khalid Ahmed & Muhammad Shahbaz, 2016. "Does Harberger–Laursen–Metzler (HLM) Exist in Pakistan? Cointegration, Causality and Forecast Error Variance Decomposition Tests," Global Business Review, International Management Institute, vol. 17(4), pages 759-778, August.

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