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A further note on flexible least squares and Kalman filtering

Author

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  • Kalaba, R.
  • Tesfatsion, L.

Abstract

The logical relationship between the multicriteria Flexible Least Squares (FLS) method and Kalman filtering is clarified. Annotated pointers to related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/flshome.htm
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Suggested Citation

  • Kalaba, R. & Tesfatsion, L., 1990. "A further note on flexible least squares and Kalman filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 183-185, February.
  • Handle: RePEc:eee:dyncon:v:14:y:1990:i:1:p:183-185
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    References listed on IDEAS

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    1. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
    2. Cripps, Martin, 1988. "Learning Rational Expectations In A Policy Game," The Warwick Economics Research Paper Series (TWERPS) 297, University of Warwick, Department of Economics.
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    Cited by:

    1. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ramos Lobo, R. & Clar López, M. & Suriñach Caralt, J., 2000. "Comparación de la capacidad predictiva de los modelos de coeficientes fijos frente a variables en los modelos econométricos regionales: un análisis para Cataluña," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 15, pages 125-162, Agosto.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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