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A study of the labour market trajectories in the Grand Duchy of Luxembourg

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  • Nicholas Longford
  • Ioana C. Salagean

Abstract

We present an analysis of the register of all unemployment episodes in the Grand Duchy of Luxembourg over a recent period of 55 months. We apply propensity score matching to account for the systematic differences among the groups of subjects (registrants) and unemployment spells. We devise graphical and tabular summaries for describing the sequences of employment states of the members of the labour force who register at Agence pour le développement de l'emploi, the Luxembourg Public Unemployment Agency. Some employment-related information about them is collected by linking their records to the national register of social security contributions, maintained by Inspection générale de la sécurité sociale. A class of univariate indices for characterising the sequences of labour force states is defined.

Suggested Citation

  • Nicholas Longford & Ioana C. Salagean, 2013. "A study of the labour market trajectories in the Grand Duchy of Luxembourg," Economics Working Papers 1396, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:1396
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    References listed on IDEAS

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    1. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
    2. Matthias Studer & Gilbert Ritschard & Alexis Gabadinho & Nicolas S. Müller, 2011. "Discrepancy Analysis of State Sequences," Sociological Methods & Research, , vol. 40(3), pages 471-510, August.
    3. Anthony Shorrocks, 2009. "Spell incidence, spell duration and the measurement of unemployment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(3), pages 295-310, September.
    4. Anthony Shorrocks, 2009. "On the measurement of unemployment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(3), pages 311-327, September.
    5. Cees H. Elzinga, 2010. "Complexity of Categorical Time Series," Sociological Methods & Research, , vol. 38(3), pages 655-656, February.
    6. Duncan McVicar & Michael Anyadike‐Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334, June.
    7. Daria Mendola & Annalisa Busetta & Anna Maria Milito, 2011. "Combining the intensity and sequencing of the poverty experience: a class of longitudinal poverty indices," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 953-973, October.
    8. Rosenbaum, Paul R. & Ross, Richard N. & Silber, Jeffrey H., 2007. "Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 75-83, March.
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    Keywords

    Administrative register; index; labour force status; propensity matching; sequences of states; unemployment spells.;
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