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Bérelőrejelzések - prediktorok és tanulságok
[Wage forecasts predictors and lessons]

Author

Listed:
  • Vincze, János
  • Takács, Olga

Abstract

Ebben az írásban a magyarországi "bérfüggvényt" elemezzük bizonyos adatbányász - induktív statisztikai - technikák segítségével. A klasszifikációs és regressziós fák (Classification and Regression Trees, CART) módszerének eredeti célja elsősorban a predikció. Nagyon jól értelmezhető eredményt ad, ami az előzetes adatelemzési funkcióban lényeges. Ezért a CART-elemzés alapján megfogalmaztunk bizonyos sejtéseket az alapvető bérezést érintő problémákkal kapcsolatban is. "Véletlenerdő-algoritmus" felhasználásával ellenőriztük a változók magyarázó ereje szerinti fontosságának robusztusságát. Mindkét módszer alapján a béreket "meghatározó" két legfontosabb tényező a képzettség és a vállalatméret. Journal of Economic Literature (JEL) kód: C14, J31.

Suggested Citation

  • Vincze, János & Takács, Olga, 2018. "Bérelőrejelzések - prediktorok és tanulságok [Wage forecasts predictors and lessons]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 592-618.
    • Handle: RePEc:ksa:szemle:1775
    DOI: 10.18414/KSZ.2018.6.592
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Reizer, Balázs & Háló, Buda, 2020. "A sorkatonaság munkaerőpiaci hatásai Magyarországon [The effect of compulsory military service on wages in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 878-910.
    2. Balogh, Gábor & Sipos, Norbert, 2019. "Pályakezdő közgazdászok bére a szakdiverzifikáció függvényében [Programme diversification effects on the salaries of freshly graduated economists]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 551-577.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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