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Young people's labour market transitions: the role of early experiences

Author

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  • Paolo Lucchino
  • Dr Richard Dorsett

Abstract

We investigate young people's labour market transitions beyond compulsory schooling and, in particular, the dynamic effects of early experiences. We use a UK longitudinal survey to model transitions between four states: employment, unemployment, education and a residual category of those neither in education nor economically active. The results provide new evidence on the causal impact of prior experience and show the importance of distinguishing between unemployment and inactivity among non-students. A simulation exercise illustrates the evaluation potential of the model and provides some clues for the design of interventions aimed at improving young people's employment prospects.

Suggested Citation

  • Paolo Lucchino & Dr Richard Dorsett, 2013. "Young people's labour market transitions: the role of early experiences," National Institute of Economic and Social Research (NIESR) Discussion Papers 419, National Institute of Economic and Social Research.
  • Handle: RePEc:nsr:niesrd:419
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    1. Flinn, Christopher J & Heckman, James J, 1983. "Are Unemployment and Out of the Labor Force Behaviorally Distinct Labor Force States?," Journal of Labor Economics, University of Chicago Press, vol. 1(1), pages 28-42, January.
    2. Miller, Robert A, 1984. "Job Matching and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 1086-1120, December.
    3. Uhlendorff, Arne, 2006. "From No Pay to Low Pay and Back Again? A Multi-State Model of Low Pay Dynamics," IZA Discussion Papers 2482, Institute of Labor Economics (IZA).
    4. Horny, Guillaume & Picchio, Matteo, 2010. "Identification of lagged duration dependence in multiple-spell competing risks models," Economics Letters, Elsevier, vol. 106(3), pages 241-243, March.
    5. Lixin Cai & Kostas Mavromaras & Peter Sloane, 2018. "Low Paid Employment in Britain: Estimating State†Dependence and Stepping Stone Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 283-326, April.
    6. Curtis Eberwein & John C. Ham & Robert J. Lalonde, 1997. "The Impact of Being Offered and Receiving Classroom Training on the Employment Histories of Disadvantaged Women: Evidence from Experimental Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 655-682.
    7. Bart Cockx & Matteo Picchio, 2013. "Scarring effects of remaining unemployed for long-term unemployed school-leavers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 951-980, October.
    8. Arulampalam, Wiji, 2001. "Is Unemployment Really Scarring? Effects of Unemployment Experiences on Wages," Economic Journal, Royal Economic Society, vol. 111(475), pages 585-606, November.
    9. repec:bla:econom:v:47:y:1980:i:187:p:247-83 is not listed on IDEAS
    10. Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
    11. Bratberg, E. & Anti Nilsen, O., 2000. "Transitions from School to Work and the Early Labour Market Experience," Norway; Department of Economics, University of Bergen 217, Department of Economics, University of Bergen.
    12. Bart Cockx & Matteo Picchio, 2012. "Are Short-lived Jobs Stepping Stones to Long-Lasting Jobs?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 646-675, October.
    13. Frijters, Paul, 2002. "The non-parametric identification of lagged duration dependence," Economics Letters, Elsevier, vol. 75(3), pages 289-292, May.
    14. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    15. Burgess, Simon & Propper, Carol & Rees, Hedley & Shearer, Arran, 2003. "The class of 1981: the effects of early career unemployment on subsequent unemployment experiences," Labour Economics, Elsevier, vol. 10(3), pages 291-309, June.
    16. van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Combining micro and macro unemployment duration data," Journal of Econometrics, Elsevier, vol. 102(2), pages 271-309, June.
    17. Liliane Bonnal & Denis Fougère & Anne Sérandon, 1997. "Evaluating the Impact of French Employment Policies on Individual Labour Market Histories," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 683-713.
    18. 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.
    19. Gaure, Simen & Roed, Knut & Zhang, Tao, 2007. "Time and causality: A Monte Carlo assessment of the timing-of-events approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1159-1195, December.
    20. Kiefer,Nicholas M. & Neumann,George R., 2006. "Search Models and Applied Labor Economics," Cambridge Books, Cambridge University Press, number 9780521024648, October.
    21. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    22. Boheim, Rene & Taylor, Mark P., 2002. "The search for success: do the unemployed find stable employment?," Labour Economics, Elsevier, vol. 9(6), pages 717-735, December.
    23. James Mitchell & Richard J. Smith & Martin R. Weale & Stephen Wright & Eduardo L. Salazar, 2005. "An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth," Economic Journal, Royal Economic Society, vol. 115(501), pages 108-129, February.
    24. Olivier Jean Blanchard & Peter Diamond, 1994. "Ranking, Unemployment Duration, and Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(3), pages 417-434.
    25. Stephen R. G. Jones & W. Craig Riddell, 2006. "Unemployment and Nonemployment: Heterogeneities in Labor Market States," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 314-323, May.
    26. Gregg, Paul, 2001. "The Impact of Youth Unemployment on Adult Unemployment in the NCDS," Economic Journal, Royal Economic Society, vol. 111(475), pages 626-653, November.
    27. Vincenzo Coviello & May Boggess, 2004. "Cumulative incidence estimation in the presence of competing risks," Stata Journal, StataCorp LP, vol. 4(2), pages 103-112, June.
    28. Antoni Calvó-Armengol & Matthew O. Jackson, 2004. "The Effects of Social Networks on Employment and Inequality," American Economic Review, American Economic Association, vol. 94(3), pages 426-454, June.
    29. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    30. Konstantinos Tatsiramos, 2009. "Unemployment Insurance in Europe: Unemployment Duration and Subsequent Employment Stability," Journal of the European Economic Association, MIT Press, vol. 7(6), pages 1225-1260, December.
    31. Doiron, Denise & Gørgens, Tue, 2008. "State dependence in youth labor market experiences, and the evaluation of policy interventions," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 81-97, July.
    32. Gregg, Paul & Tominey, Emma, 2005. "The wage scar from male youth unemployment," Labour Economics, Elsevier, vol. 12(4), pages 487-509, August.
    33. Gerard J. van den Berg & Maarten Lindeboom, 1998. "Attrition in Panel Survey Data and the Estimation of Multi-State Labor Market Models," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 458-478.
    34. Cai, Lixin & Mavromaras, Kostas & Sloane, Peter J., 2016. "Low Paid Employment in Britain: Estimating State-Dependence and Stepping Stone Effects," IZA Discussion Papers 9633, Institute of Labor Economics (IZA).
    35. Paolo Lucchino & Dr Richard Dorsett, 2013. "Visualising the school-to-work transition: an analysis using optimal matching," National Institute of Economic and Social Research (NIESR) Discussion Papers 414, National Institute of Economic and Social Research.
    36. Knut Røed & Oddbjørn Raaum, 2006. "Do Labour Market Programmes Speed up the Return to Work?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 541-568, October.
    37. Christian N. Brinch, 2011. "Non‐parametric identification of the mixed proportional hazards model with interval‐censored durations," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 343-350, July.
    38. Adriaan S. Kalwij, 2004. "Unemployment Experiences of Young Men: on the Road to Stable Employment?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(2), pages 205-237, May.
    39. Thomas A. Mroz & Timothy H. Savage, 2006. "The Long-Term Effects of Youth Unemployment," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
    40. repec:bla:obuest:v:62:y:2000:i:0:p:909-29 is not listed on IDEAS
    41. Gillian Paull, 2002. "Biases in the reporting of labour market dynamics," IFS Working Papers W02/10, Institute for Fiscal Studies.
    42. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    43. Ben Lockwood, 1991. "Information Externalities in the Labour Market and the Duration of Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 733-753.
    44. Christopher A. Pissarides, 1992. "Loss of Skill During Unemployment and the Persistence of Employment Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(4), pages 1371-1391.
    45. Lars Pico Geerdsen, 2006. "Is there a Threat Effect of Labour Market Programmes? A Study of ALMP in the Danish UI System," Economic Journal, Royal Economic Society, vol. 116(513), pages 738-750, July.
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    3. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.

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    More about this item

    Keywords

    young people; labour market transitions; duration dependence; state dependence; unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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