IDEAS home Printed from https://ideas.repec.org/a/agr/journl/vxxxiiy2025i2(643)p107-120.html
   My bibliography  Save this article

The main drivers of labour cost dynamics in Central and Eastern European countries

Author

Listed:
  • Maria Denisa VASILESCU

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Larisa STĂNILĂ

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Amalia CRISTESCU

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Maria Berta BELU

    (National Scientific Research Institute for Labour and Social Protection, Romania)

  • Silvana CRIVOI

    (National Scientific Research Institute for Labour and Social Protection, Romania)

Abstract

Labour costs are a fundamental component of production expenses, significantly impacting both the quantity and quality of output. In the current European economic context marked by significant price increases, the paper aimed to empirically investigate the relationship between inflation and labour costs in the short and medium term. We focused on the situation in Romania and three other Central and Eastern European countries: the Czech Republic, Hungary, and Poland. We applied the Granger causality test to determine the direction of causality between the two indicators mentioned. We also performed a regression analysis to gain a more in-depth understanding. The results highlighted the existence of a causal relationship from inflation to labour costs at both aggregate and sectoral levels, with variations across countries and sectors, supporting the hypothesis that inflation precedes increases in labour costs. To explore the determinants of labour costs in more depth, we estimated regression models for three of the analysed countries. The results indicated that past labour cost values, inflation, and labour productivity are the main drivers of labour cost dynamics in Romania, the Czech Republic, and Hungary. Additionally, the share of exports in GDP and the employment rate influence labour costs in Hungary and the Czech Republic, but with distinct country-specific patterns.

Suggested Citation

  • Maria Denisa VASILESCU & Larisa STĂNILĂ & Amalia CRISTESCU & Maria Berta BELU & Silvana CRIVOI, 2025. "The main drivers of labour cost dynamics in Central and Eastern European countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(643), S), pages 107-120, Summer.
  • Handle: RePEc:agr:journl:v:xxxii:y:2025:i:2(643):p:107-120
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1834.pdf
    Download Restriction: no

    File URL: http://www.ectap.ro/articol.php?id=1834&rid=159
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    2. Robertson,Raymond & Vergara Bahena,Mexico Alberto & Kokas,Deeksha & Lopez-Acevedo,Gladys C., 2021. "International Trade and Labor Markets : Evidence from the Arab Republic of Egypt," Policy Research Working Paper Series 9668, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022. "The power of sentiment: Irrational beliefs of households and consumer loan dynamics," Journal of Financial Stability, Elsevier, vol. 59(C).
    2. Qazi Haque & Leandro M. Magnusson, 2020. "Identification robust empirical evidence on the Euler equation in open economies," Economics Discussion / Working Papers 20-01, The University of Western Australia, Department of Economics.
    3. Alex Ilek & Tanya Suchoy & Nir Klein, 2006. "Estimating the premium implicit in the yields of Treasury Bills," Israel Economic Review, Bank of Israel, vol. 4(2), pages 53-83.
    4. Andrew M. McKenzie & Bingrong Jiang & Harjanto Djunaidi & Linwood A. Hoffman & Eric J. Wailes, 2002. "Unbiasedness and Market Efficiency Tests of the U.S. Rice Futures Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 474-493.
    5. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    6. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    7. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    8. Hoang, Trung Xuan & Le, Duong Trung & Nguyen, Ha Minh & Vuong, Nguyen Dinh Tuan, 2020. "Labor market impacts and responses: The economic consequences of a marine environmental disaster," Journal of Development Economics, Elsevier, vol. 147(C).
    9. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    10. Monica Paiella, 2007. "The Forgone Gains of Incomplete Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1623-1646, 2007 13.
    11. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    12. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    13. Kano, Takashi, 2009. "Habit formation and the present-value model of the current account: Yet another suspect," Journal of International Economics, Elsevier, vol. 78(1), pages 72-85, June.
    14. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    16. Bissoondeeal, Rakesh K. & Karoglou, Michail & Binner, Jane M., 2019. "Structural changes and the role of monetary aggregates in the UK," Journal of Financial Stability, Elsevier, vol. 42(C), pages 100-107.
    17. Bua, Giovanna & Kapp, Daniel & Ramella, Federico & Rognone, Lavinia, 2022. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," Working Paper Series 2677, European Central Bank.
    18. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    19. Ju Ryum Chung & Eun Jung Cho & Ho-Young Lee & Myungsoo Son, 2017. "The impact of labour unions on external auditor selection and audit scope: evidence from the Korean market," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4833-4850, October.
    20. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:agr:journl:v:xxxii:y:2025:i:2(643):p:107-120. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mircea Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.