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A Bayesian Approach To Estimation Of Time-Varying Regression Coefficients

In: Annals of Economic and Social Measurement, Volume 2, number 4

Author

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  • Alexander H. Sarris

Abstract

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Suggested Citation

  • Alexander H. Sarris, 1973. "A Bayesian Approach To Estimation Of Time-Varying Regression Coefficients," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 501-523, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:9941
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    Cited by:

    1. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    2. Korobilis, Dimitris & Koop, Gary, 2018. "Variational Bayes inference in high-dimensional time-varying parameter models," Essex Finance Centre Working Papers 22665, University of Essex, Essex Business School.
    3. Chavas, Jean-Paul, 1982. "A Study Of Structural Change: The Demand For Meat," 1982 Annual Meeting, August 1-4, Logan, Utah 279153, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Christopher B. Barry, 1980. "Bayesian Betas And Deception: A Comment," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 3(1), pages 85-90, March.
    5. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
    6. Feldstein, Martin & Stock, James H., 1996. "Measuring money growth when financial markets are changing," Journal of Monetary Economics, Elsevier, vol. 37(1), pages 3-27, February.
    7. Douglas O. Staiger & James H. Stock & Mark W. Watson, 1997. "How Precise Are Estimates of the Natural Rate of Unemployment?," NBER Chapters, in: Reducing Inflation: Motivation and Strategy, pages 195-246, National Bureau of Economic Research, Inc.
    8. Möller, Joachim, 1988. "Time-varying coefficients in a simultaneous equation model: Theoretical concept and some simulation results," Discussion Papers, Series I 241, University of Konstanz, Department of Economics.
    9. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    10. James H. Stock & Mark W. Watson, 1996. "Asymptotically Median Unbiased Estimation of Coefficient Variance in a Time Varying Parameter Model," NBER Technical Working Papers 0201, National Bureau of Economic Research, Inc.
    11. Thomas F. Cooley, 1975. "A Comparison of Robust and Varying Parameter Estimates of a Macro-Econometric Model," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 3, pages 373-388, National Bureau of Economic Research, Inc.
    12. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    13. Solimano, Andres, 1989. "How private investment reacts to changing macroeconomic conditions : the case of Chile in the 1980s," Policy Research Working Paper Series 212, The World Bank.
    14. repec:wrk:wrkemf:13 is not listed on IDEAS
    15. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    16. Thomas F. Cooley & Kent D. Wall, 1975. "On the Identification of Time Varying Structures," NBER Working Papers 0085, National Bureau of Economic Research, Inc.
    17. Al-Kahtani, Safer H. & Sofian, Badr El-din E., 1995. "Estimating preference change in meat demand in Saudi Arabia," Agricultural Economics, Blackwell, vol. 12(1), pages 91-98, April.
    18. Various, 1974. "Staff Reports on Research Under Way," NBER Chapters, in: Issues for Research: Energy, the Environment, and the Economy, Inflation Accounting, pages 15-116, National Bureau of Economic Research, Inc.

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