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Makroekonometryczny miesięczny model gospodarki Polski WM-1

Author

Listed:
  • Aleksander Welfe
  • Piotr Karp

Abstract

Makroekonometryczny model WM-1 jest pierwszym makromodelem opisującym funkcjonowanie gospodarki Polski opartym na danych miesięcznych. Jak wynika z testowania, większość kategorii, którymi operuje, jest generowana przez niestacjonarne procesy stochastyczne. Estymacja parametrów została tak przeprowadzona, aby zapewnić kointegrację zmiennych, co pozwala uniknąć tzw. regresji pozornych oraz przeprowadzić prawidłową weryfikację hipotez. Specyfikacja wszystkich zależności behawioralnych wynika z teorii ekonomicznych. W modelu wykorzystano w szerokim zakresie dane pochodzące z tablic input-output, co zbliża model WM-1 do tzw. modeli zintegrowanych. W przypadku wielu ważnych równań uwzględnione zostało zjawisko niesymetryczności dostosowań.

Suggested Citation

  • Aleksander Welfe & Piotr Karp, 2017. "Makroekonometryczny miesięczny model gospodarki Polski WM-1," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 5-38.
    • Handle: RePEc:sgh:gosnar:y:2017:i:4:p:5-38
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    References listed on IDEAS

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    Cited by:

    1. Magdalena Ulrichs & Emilia Gosińska, 2020. "Sektorowe funkcje produkcji - wnioski z modeli panelowych dla Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 71-94.
    2. Piotr Karp, 2015. "Asymetryczny wpływ zmian kursu walutowego na gospodarkę Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 29-49.
    3. Robert Socha & Piotr Wdowiński, 2018. "Crude oil price and speculative activity: a cointegration analysis," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 263-304, September.

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    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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