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Úvod do moderních přístupů analýzy časových řad: Stavově prostorové modely a Kalmanův filtr
[Introduction to time series modeling: State space models and Kalman filter]

Author

Listed:
  • Michal Slavík

Abstract

This contribution undertakes to outline the state space models and the recursive technique called the Kalman filter to a wider audience of the Czech economics readers. One can find both terms in a whole range of empirical studies from recent years. Following this approach also allows us among other things to model unobservable variables such as the potential output or the natural rate of unemployment. The primary motivation of this article is to bring a basic introduction to the reader who does not deal with the time series analysis on an everyday basis and to sketch the roots of state space models and the Kalman filter. Those who are interested can find more proper and rigorous description in the original literature.

Suggested Citation

  • Michal Slavík, 2005. "Úvod do moderních přístupů analýzy časových řad: Stavově prostorové modely a Kalmanův filtr [Introduction to time series modeling: State space models and Kalman filter]," Politická ekonomie, Prague University of Economics and Business, vol. 2005(1).
  • Handle: RePEc:prg:jnlpol:v:2005:y:2005:i:1:id:499
    DOI: 10.18267/j.polek.499
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    More about this item

    Keywords

    econometric modeling; state space models; Kalman filter;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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