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Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-Registration

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Data Analysis and Classification (SKAD 2020)

Abstract

Labour market research analyses the transition between the states of economically inactive and active. They show that the characteristics of the unemployed can significantly influence the probability and intensity of transition from one state to another one. Some researchers stress that it is worthwhile to differentiate between the states of the jobless persons, for example the unemployed and those not participating in the labour market. The presented study fits into the scope of multi-state labour market models. Its aim is to assess the gender impact of the unemployed on the duration of registered unemployment and on the duration of staying out of the labour office, taking into account the various reasons for de-registration. Due to their diversity, they are divided into three groups: taking up job, removal and other reasons. The flow of unemployed people in two directions was studied. The probability and intensity of exiting and re-registering in total and according to gender was analysed. In both cases, the reason for de-registration was considered. It applied methods of survival analysis from the area of competing risk models. The study was based on data from the Poviat Labour Office in Szczecin (Poland). Despite the restrictions imposed by the office on persons being de-registered, a frequent reason for registration is still the desire to have health insurance and the desire to receive pre-retirement benefit/assistance allowance.

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References

  • Addison JT, Portugal P (2003) Unemployment duration: competing and defective risks. J Human Resour 38(1):156–191. https://doi.org/10.2307/1558760

    Article  Google Scholar 

  • Böheim R; Taylor MP (2000) Unemployment duration and exit states in Britain. ISER Working Paper Series, No. 2000-01, University of Essex, Institute for Social and Economic Research (ISER), Colchester

    Google Scholar 

  • Batóg J, Batóg B (2016) Application of correspondence analysis to the identification of the influence of features of unemployed persons on the unemployment duration. Econ Bus Rev 16(4):25–44. https://doi.org/10.18559/ebr.2016.4.2

    Article  Google Scholar 

  • Bieszk-Stolorz B (2013) Analiza historii zdarzeń w badaniu bezrobocia. Volumina.pl Daniel Krzanowski, Szczecin

    Google Scholar 

  • Bieszk-Stolorz B (2017a) Cumulative incidence function in studies on the duration of the unemployment exit process. Folia Oeconomica Stetinensia 17(1):138–150. https://doi.org/10.1515/foli-2017-0011

    Article  Google Scholar 

  • Bieszk-Stolorz B (2017b) The impact of gender on routes for registered unemployment exit in Poland. Equilibrium. Q J Econ Economic Policy 12(4):733–749. https://doi.org/10.24136/eq.v12i4.38

  • Bieszk-Stolorz B (2020) Prentice–Williams–Peterson models in the assessment of the influence of the characteristics of the unemployed on the intensity of subsequent registrations in the labour office. In: Jajuga K, Batóg J, Walesiak M (eds) Classification and data analysis. SKAD 2019. Studies in classification, data analysis, and knowledge organization. Springer, Cham, pp 237–250. https://doi.org/10.1007/978-3-030-52348-0_15

  • Bieszk-Stolorz B, Dmytrów K (2018a) Application of the survival trees for estimation of the influence of determinants on probability of exit from the registered unemployment. In: Papież M, Śmiech S (eds) Social-economic modelling and forecasting, vol 1. Foundation Cracow Univ Economics, Cracow, pp 30–39. https://doi.org/10.14659/SEMF.2018.01.03

  • Bieszk-Stolorz B, Dmytrów K (2018b) Application of the survival trees for estimation of the propensity to accepting a job and resignation from the labour office mediation by the long-term unemployed people. In: Nermend K, Łatuszyńska M (eds) Problems, methods and tools in experimental and behavioral economics. CMEE 2017. Springer Proceedings in business and economics. Springer, Cham, pp 141–154. https://doi.org/10.1007/978-3-319-99187-0_11

  • Blau DM, Robins PK (1986) Job search, wage offers, and unemployment insurance. J Public Econ 29(2):173–197

    Article  Google Scholar 

  • Bryant J, Dignam JJ (2004) Semiparametric models for cumulative incidence functions. Biometrics 60(1):182–190. https://doi.org/10.1111/j.0006-341X.2004.00149.x

    Article  MathSciNet  MATH  Google Scholar 

  • Burdett K, Kiefer N, Mortensen D, Neumann G (1984) Earnings, unemployment, and the allocation of time over time. Rev Econ Stud 51(4):559–578

    Article  Google Scholar 

  • Burdett K, Kiefer N, Sharma S (1985) Layoffs and duration dependence in a model of turnover. J Econometrics 28(1):51–69

    Article  MathSciNet  Google Scholar 

  • Classen KP (1977) The effect of unemployment insurance on the duration of unemployment and subsequent earnings. Ind Labor Relat Rev 30(8):438–444

    Article  Google Scholar 

  • Classen KP (1979) Unemployment insurance and job search. In: Lippman S, McCall J (eds) Studies in the economics of search. North-Holland, New York, pp 191–219

    Google Scholar 

  • Dănăcică DE, Paliu-Popa L (2017) Determinants of unemployment spells and exit destinations in Romania in a competing-risks approach. Econ Res-Ekonomska Istraživanja 30(1):964–984. https://doi.org/10.1080/1331677X.2017.1314825

    Article  Google Scholar 

  • Devine TJ, Kiefer NM (1991) Empirical labor economics: the search approach. Oxford University Press, New York

    Google Scholar 

  • Ehrenberg RG, Oaxaca RL (1976) Unemployment insurance, duration of unemployment, and subsequent wage gain. Am Econ Rev 66(5):754–766

    Google Scholar 

  • Farber H (1980) Are quits and firings actually different events? A competing risk model of job duration, Working Paper, MIT

    Google Scholar 

  • Flinn C, Heckman J (1983) Are unemployment and out of the labor force behaviorally distinct labor force states? J Labor Econ 1(1):28–42

    Article  Google Scholar 

  • Jensen P (1987) Testing for unobserved heterogeneity and duration dependence in econometric models of duration. Mimeo, University of Aarhus, Denmark

    Google Scholar 

  • Kaplan EL, Meier P (1958) Non-parametric estimation from incomplete observations. J Am Stat Assoc 53:457–481

    Article  Google Scholar 

  • Khandker R (1988) Offer heterogeneity in a two state model of sequential search. Rev Econ Stat 70(2):259–265

    Article  Google Scholar 

  • Kiefer NM (1985) Evidence on the role of education in labor turnover. J Human Resour 20(3):445–452

    Article  Google Scholar 

  • Klein JP, Moeschberger ML (2003) Survival analysis: techniques for censored and truncated data, 2nd edn. Springer, New York

    Book  Google Scholar 

  • Kleinbaum D, Klein M (2005) Survival analysis. A self-learning text. Springer, New York

    Book  Google Scholar 

  • Kompa K, Witkowska D (2018) Gender diversity in the boardrooms of public companies in Poland: changes and implications. Montenegrin J Econ Economic Laboratory Transition Res (ELIT) 14(1):79–92. https://doi.org/10.14254/1800-5845/2018.14-1.6

    Article  Google Scholar 

  • Landmesser JM (2013) Wykorzystanie metod analizy czasu trwania do badania aktywności ekonomicznej ludności w Polsce. Rozprawy Naukowe i Monografie. Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, Warszawa

    Google Scholar 

  • Lundberg SJ (1985) The added worker effect. J Labor Econ 3(1):11–37

    Article  Google Scholar 

  • Marubini E, Valsecchi M (1995) Analysing survival data from clinical trials and observational studies. Wiley, New York

    MATH  Google Scholar 

  • Miller P, Volker P (1987) The youth labour market in Australia. Econ Rec 63(3):203–296. https://doi.org/10.1111/j.1475-4932.1987.tb00652.x

    Article  Google Scholar 

  • Narendranathan SW, Stewart MB (1990) An examination of the robustness of models of the probability of finding a job for the unemployed. In: Hartog J, Ridder G, Theewes J (eds) Panel data and labor market studies. North-Holland, Amsterdam

    Google Scholar 

  • O’Neill D (2019) A new competing risks decomposition: application to the effect of cutting unemployment benefit on unemployment durations. J Roy Stat Soc Ser C (Appl Stat) 68(3):793–807. https://doi.org/10.1111/rssc.12335

    Article  MathSciNet  Google Scholar 

  • Reeuwijk KG, van Klaveren D, van Rijn RM, Burdorf A, Robroek SJ (2017) The influence of poor health on competing exit routes from paid employment among older workers in 11 European countries. Scand J Work, Environ Health 43(1):24–33. https://doi.org/10.5271/sjweh.3601

    Article  Google Scholar 

  • Ridder G (1988) On generalized accelerated failure time models. Mimeo, Rijksuniversiteit, Groningen

    Google Scholar 

  • Sherif BN (2008) A comparison of Kaplan-Meier and cumulative incidence estimate in the presence or absence of competing risks in breast cancer data, Master’s Thesis. University of Pittsburgh. Available via D-Scholarship. http://d-scholarship.pitt.edu/id/eprint/9986. Accessed on 15 Aug 2020

  • Simon MSL, Gesine S, Wilke AR (2017) Competing risks copula models for unemployment duration. Application to a German Hartz Reform. J Econometric Methods 6(1). https://doi.org/10.1515/jem-2015-0005

  • Steiner V (1997) Extended benefit-entitlement periods and the duration of unemployment in West Germany. ZEW Discussion-Paper, no. 97–14. Zentrum für Europäische Wirtschaftsforschung (ZEW), Mannheim

    Google Scholar 

  • Stephenson SP (1982) A turnover analysis of joblessness for young women. Res Labor Econ 5:279–318

    Google Scholar 

  • Tuma NB, Robins PK (1980) A dynamic model of employment behavior: an application to the Seattle and Denver income maintenance experiments. Econometrica 48(4):1031–1052

    Article  Google Scholar 

  • van den Berg GJ, van Lomwel AGC, van Ours JC (2008) Nonparametric estimation of a dependent competing risks model for unemployment durations. Empirical Econ 34(3):477–491. https://doi.org/10.1007/s00181-007-0131-8

    Article  Google Scholar 

  • Weiner SE (1984) A survival analysis of the adult male black/white unemployment differential. In: Neumann GR, Westergaard-Nielsen N (eds) Studies in labor market dynamics. Springer, Heidelberg, pp 132–157

    Chapter  Google Scholar 

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Correspondence to Beata Bieszk-Stolorz .

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Bieszk-Stolorz, B. (2021). Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-Registration. In: Jajuga, K., Najman, K., Walesiak, M. (eds) Data Analysis and Classification. SKAD 2020. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-030-75190-6_13

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