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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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    1. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    2. Fritz Schiltz & Chiara Masci & Tommaso Agasisti & Daniel Horn, 2017. "Using Machine Learning To Model Interaction Effects In Education: A Graphical Approach," Budapest Working Papers on the Labour Market 1704, Institute of Economics, Centre for Economic and Regional Studies.
    3. Minier, Jenny A., 2003. "Are small stock markets different?," Journal of Monetary Economics, Elsevier, vol. 50(7), pages 1593-1602, October.
    4. Wei-Yin Loh, 2014. "Fifty Years of Classification and Regression Trees," International Statistical Review, International Statistical Institute, vol. 82(3), pages 329-348, December.
    5. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    6. Kertesi, Gábor & Köllő, János, 2003. "Ágazati bérkülönbségek Magyarországon, II. rész. Járadékokon való osztozkodás koncentrált ágazatokban, szakszervezeti aktivitás jelenlétében [Pay differentials between industries in Hungary, II. Re," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1049-1074.
    7. Sergio Galletta, 2016. "On the determinants of happiness: a classification and regression tree (CART) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 121-125, February.
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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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