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Low-Wage Employment in Czechia: A Persistent Burden

Author

Listed:
  • Kamila Fialová

    (Institute of Sociology of the Czech Academy of Sciences)

Abstract

Working for low pay may have substantial negative consequences at both the individual and societal level. This article adds to scarce research on low pay in Czechia, employing pooled longitudinal EU-SILC data for 2004 – 2017. It analyses patterns of low-wage employment and estimates the degree of low-pay persistence in terms of genuine state dependence in low-wage employment, accounting for both observed and unobserved heterogeneity among workers and endogeneity in the initial conditions. The results indicate that low pay exhibits a significant degree of state dependence in Czechia: having a low-paid job on average increases the likelihood of staying low paid in the future by 14 percentage points. The most important individual factors predisposing workers to earn low wages and get stuck in a low-paid job are low education and the female gender.

Suggested Citation

  • Kamila Fialová, 2022. "Low-Wage Employment in Czechia: A Persistent Burden," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(6), pages 475-498, June.
  • Handle: RePEc:sav:journl:v:70:y:2022:i:6:p:475-498
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    References listed on IDEAS

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    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Anders Skrondal & Sophia Rabe-Hesketh, 2014. "Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(2), pages 211-237, February.
    3. Cappellari, Lorenzo & Jenkins, Stephen P., 2008. "The Dynamics of Social Assistance Receipt: Measurement and Modelling Issues, with an Application to Britain," IZA Discussion Papers 3765, Institute of Labor Economics (IZA).
    4. Grimshaw, Damian., 2011. "What do we know about low wage work and low wage workers? : Analysing the definitions, patterns, causes and consequences in international perspective," ILO Working Papers 994648583402676, International Labour Organization.
    5. Mark B. Stewart, 2007. "The interrelated dynamics of unemployment and low-wage employment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 511-531.
    6. Stephen Jenkins & Philippe Van Kerm, 2014. "The Relationship Between EU Indicators of Persistent and Current Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 611-638, April.
    7. Clark, Ken & Kanellopoulos, Nikolaos C., 2013. "Low pay persistence in Europe," Labour Economics, Elsevier, vol. 23(C), pages 122-134.
    8. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2016. "Wage Inequality and Wage Mobility in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(1), pages 181-197, March.
    9. Raffaele Grotti & Giorgio Cutuli, 2018. "xtpdyn: A community-contributed command for fitting dynamic random-effects probit models with unobserved heterogeneity," Stata Journal, StataCorp LP, vol. 18(4), pages 844-862, December.
    10. Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Sloane, P. J. & Theodossiou, I., "undated". "An Econometric Analysis of Low Pay Earnings Mobility," Working Papers 98-05, Department of Economics, University of Aberdeen.
    12. Maite Blázquez Cuesta, 2008. "Low‐wage Employment and Mobility in Spain," LABOUR, CEIS, vol. 22(s1), pages 115-146, June.
    13. Lorenzo Cappellari, 2000. "Low‐wage mobility in the Italian labour market," International Journal of Manpower, Emerald Group Publishing Limited, vol. 21(3/4), pages 264-290, May.
    14. Francisco Silva & José Vieira & António Pimenta & João Teixeira, 2018. "Duration of low-wage employment: a study based on a survival model," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(2), pages 286-299, February.
    15. repec:ilo:ilowps:464858 is not listed on IDEAS
    16. Rabe-Hesketh, Sophia & Skrondal, Anders, 2013. "Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem," Economics Letters, Elsevier, vol. 120(2), pages 346-349.
    17. Stephen Bazen, 2001. "Youth and Earnings Mobility: the Case of France in a comparative Framework," LoWER Working Papers wp3, AIAS, Amsterdam Institute for Advanced Labour Studies.
    18. Jiří Rajl, 2019. "The Impact of Regulatory Measures on the Development of Household Indebtedness," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2019(1), pages 5-23.
    19. José Cabral Vieira, 2005. "Low-wage mobility in the Portuguese labour market," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 1-14, April.
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    More about this item

    Keywords

    low-wage employment; low pay; low pay persistence; EU-SILC data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J69 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Other

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