Prague Economic Papers 2017, 26(4):438-449 | DOI: 10.18267/j.pep.620

Modelling of Unemployment Duration in the Czech Republic

Adam Čabla1, Ivana Malá2
1 Department of Statistics and Probability, Faculty of Informatics and Statistics, University of Economics in Prague, Prague (xcaba02@vse.cz)
2 Department of Statistics and Probability, Faculty of Informatics and Statistics, University of Economics in Prague, Prague (malai@vse.cz)

The paper examines the duration of unemployment in the Czech Republic in the three selected years (2008, 2010 and 2014). It is based on the Czech Statistical Office data collected from the Labour Force Sample Survey. Lognormal probability distribution (unimodal positively skewed heavy-tailed distribution) is used in the Accelerated Failure Time regression model including the following factor explanatory variables: years (three levels, 2008, 2010, 2014), gender (two levels), education (four levels), five-year age groups (nine levels) and municipality size (five levels). Apart from this parametric model, Turnbull's nonparametric estimator of the survival function is evaluated for subsamples defined by the year, gender and education. The effects of education and gender - a strong positive one of the former and less significant one of the latter, respectively - are quantified and assessed.

Keywords: unemployment duration, AFT model, Turnbull's estimator, interval censored data
JEL classification: C41, E24, J64

Published: August 1, 2017  Show citation

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Čabla, A., & Malá, I. (2017). Modelling of Unemployment Duration in the Czech Republic. Prague Economic Papers, 26(4), 438-449. doi: 10.18267/j.pep.620
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    References

    1. CZSO (2014). Czech Statistical Office. Available at: http://www.czso/eng
    2. Čabla, A. (2014). Unemployment Duration before and during the Economic Crisis in the Czech Republic. Acta Aerarii Publici, 11, 19-26.
    3. Eurostat (2014). Lucemburk: Eurostat. Available at: epp.eurostat.ec.europa.eu/
    4. Eurostat (2015). Lucemburk: Eurostat. Available at: http://ec.europa.eu/eurostat/statisticsexplained/index.php/Unemployment_statistics
    5. Fay, M. O., Shaw, P. A. (2010). Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The Interval R Package. Journal of Statistical Software, 36(2), 1-34, https://doi.org/10.18637/jss.v036.i02 Go to original source...
    6. Ibrahim J. G., Chen M.-H., Sinha D. (2005). Bayesian Survival Analysis. Encyclopedia of Biostatistics. Wiley. Go to original source...
    7. Krueger, A. B., Mueller, A., Davis, S. J., Sahin, A. (2011). Job Search, Emotional Well-Being, and Job Finding in a Period of Mass Unemployment: Evidence from High Frequency Longitudinal Data [with Comments and Discussion]. Brookings Papers on Economic Activity, 2011(1), 1-57, https://doi.org/10.1353/eca.2011.0001 Go to original source...
    8. Lawless, J. F. (2002). Statistical Models and Methods for Lifetime Data, 2nd Edition Wiley: Series in Probability and Statistics. Go to original source...
    9. LFSS (2014). Labour Force Sample Survey. Available at: http://www.czso.cz/eng/redakce.nsf/i/lfs_analyses_in_news_releases
    10. Löster, T., Langhamrová, J. (2011). Analysis of Long-term Unemployment in the Czech Republic. Praha 22.12.2011 - 23.12.2011, in: Löster, T., Pavelka, ed., International Days of Statistics and Economics, Slaný: Melandrium, pp. 228-234.
    11. Malá, I. (2013). Použití konečných směsí pravděpodobnostních rozdělení pro modelování rozdělení doby nezaměstnanosti v České republice. (The Use of Finite Mixture Model fot the Modelling of Umenployment Duration in the Czech Republic) Acta Oeconomica Pragensia, 2013(5), 47-63, https://doi.org/10.18267/j.aop.415 Go to original source...
    12. R CORE TEAM (2014). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Available at: http://www.r-project.org/
    13. Schmieder, J. F., von Wachter, T. M., Bender, S. (2013). The Casual Effect of Unemployment Duration on Wages: Evidence from Unemployment Insurance Extensions. NBER Working Paper Series Working Paper No. 19772. Available at: http://www.nber.org/papers/w19772 Go to original source...
    14. Therneau, T. (2014). A Package for Survival Analysis in S. R package version 2.37-7. Available at: http://cran.r-project.org/web/packages/survival/survival.pdf
    15. Therneau, T. M., Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer: New York. Go to original source...
    16. Turnbull, B. W. (1976). The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data. Journal of the Royal Statistical Society B, 38, 290-295. Go to original source...

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