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Szolgálólányból királycsináló - avagy az ökonometria makroökonómiai térhódítása?
[From maidservant to king-maker - or the macroeconomic advance of econometrics?]

Author

Listed:
  • Mellár, Tamás

Abstract

Ez a cikk az ökonometria makroökonómiában betöltött szerepét tekinti át az elmúlt harminc-negyven esztendő távlatában. Azt a folyamatot próbálja megragadni, amelyben az ökonometria a segédtudományi szerepből egyre inkább kulcspozícióba került az újklasszikus makroökonómiában. Először a mak ro egyen súly potenciális kibocsátással való meghatározásának problémáival foglalkozik, kiemelve a becslés nehézségeit az egyensúlyi kibocsátás látens változóként való kezelésekor. Ezt követően a racionális várakozások ökonometriai modellezési gyakorlatát bírálja, azon az alapon, hogy korrekt makromodell nem alakítható ki az egész gazdaságra vonatkozóan, és így torzítatlan becslés sem valósítható meg. Végül a tanulmány az ökonometriai modelleken alapuló előrejelzések lehetőségét tárgyalja. Megállapítja, hogy ökonometriai becslésen alapuló hatásos előrejelzés nem lehetséges, mert a gazdaság makroműködése nem ergodikus folyamat, hanem útfüggő, s így nem határozható meg a gazdasági rendszer adatgeneráló folyamata. A cikk következtetése, hogy az ökonometriának az idősorelemzé sek től vissza kellene térnie a keresztmetszeti elemzések és a mikroökonómiai megalapozásokat lehetővé tevő modellbecslésekhez. Journal of Economic Literature (JEL) kód: C5, C53, D84, E17.

Suggested Citation

  • Mellár, Tamás, 2016. "Szolgálólányból királycsináló - avagy az ökonometria makroökonómiai térhódítása? [From maidservant to king-maker - or the macroeconomic advance of econometrics?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 285-306.
    • Handle: RePEc:ksa:szemle:1619
    DOI: 10.18414/KSZ.2016.3.285
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    References listed on IDEAS

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    1. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    2. Claudio BorioBy & Piti Disyatat & Mikael Juselius, 2017. "Rethinking potential output: embedding information about the financial cycle," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 655-677.
    3. 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.
    4. Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
    5. David Colander, 2005. "The Making of an Economist Redux," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 175-198, Winter.
    6. Paul Davidson, 1991. "Is Probability Theory Relevant for Uncertainty? A Post Keynesian Perspective," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 129-143, Winter.
    7. Seater, John J, 1993. "Ricardian Equivalence," Journal of Economic Literature, American Economic Association, vol. 31(1), pages 142-190, March.
    8. George W. Evans & Seppo Honkapohja, 2005. "An Interview with Thomas J. Sargent," CESifo Working Paper Series 1434, CESifo.
    9. Evans, George W. & Honkapohja, Seppo, 2005. "An Interview With Thomas J. Sargent," Macroeconomic Dynamics, Cambridge University Press, vol. 9(04), pages 561-583, September.
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    Cited by:

    1. Kőrösi, Gábor, 2016. "A lány továbbra is szolgál.. [Modelling and econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 647-667.
    2. Tóth G., Csaba, 2017. "A nemzeti költségvetési szabályok elterjedése és hatása Európában [The spread of national fiscal rules and their effect in Europe]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1119-1147.
    3. Mellár, Tamás, 2016. "Válasz Kőrösi Gábornak [Response to Gábor Kőrösi]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 668-672.

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    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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