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A Further Note on Flexible Least Squares and Kalman Filtering

Author

Listed:
  • Kalaba, Robert E.
  • Tesfatsion, Leigh S.

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

Suggested Citation

  • Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "A Further Note on Flexible Least Squares and Kalman Filtering," Staff General Research Papers Archive 11192, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:11192
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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 Economia Aplicada, Estudios de Economia 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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