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The ARAR Error Model for Univariate Time Series and Distributed Lag

Author

Listed:
  • Carter Richard A. L.

    (University of Western Ontario and University of Calgary)

  • Zellner Arnold

    (GSB, University of Chicago)

Abstract

We show that the use of prior information derived from former empirical findings and/or subject matter theory regarding the lag structure of the observable variables together with an AR process for the error terms can produce univariate and single equation models that are intuitively appealing, simple to implement and work well in practice.

Suggested Citation

  • Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    • Handle: RePEc:bpj:sndecm:v:8:y:2004:i:1:n:2
    DOI: 10.2202/1558-3708.1132
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    References listed on IDEAS

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    1. Zellner, Arnold & Chen, Bin, 2001. "Bayesian Modeling Of Economies And Data Requirements," Macroeconomic Dynamics, Cambridge University Press, vol. 5(5), pages 673-700, November.
    2. Phillips, P C B, 1991. "To Criticize the Critics: An Objective Bayesian Analysis of Stochastic Trends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(4), pages 333-364, Oct.-Dec..
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    4. Zellner, Arnold & Tobias, Justin, 2001. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 121-140, February.
    5. Geweke, John, 1988. "The Secular and Cyclical Behavior of Real GDP in 19 OECD Countries, 1957-1983," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 479-486, October.
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    7. Garcia-Ferrer, Antonio, et al, 1987. "Macroeconomic Forecasting Using Pooled International Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 53-67, January.
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    9. Pagan, Adrian, 1985. "Time Series Behaviour and Dynamic Specification," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 47(3), pages 199-211, August.
    10. Zellner, Arnold & Hong, Chansik & Min, Chung-ki, 1991. "Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 275-304.
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    16. Nicholls, D F & Pagan, Adrian R & Terrell, R D, 1975. "The Estimation and Use of Models with Moving Average Disturbance Terms: A Survey," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(1), pages 113-134, February.
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    Cited by:

    1. Richard Carter & Arnold Zellner, 2003. "AR Versus MA Disturbance Terms," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-3.
    2. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.

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