A study of the labour market trajectories in the Grand Duchy of Luxembourg
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.
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- Michael Lechner, 2005.
"Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods,"
Labor and Demography
- 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.
- Anthony Shorrocks, 2009. "Spell incidence, spell duration and the measurement of unemployment," Journal of Economic Inequality, Springer, vol. 7(3), pages 295-310, September.
- Matthias Studer & Gilbert Ritschard & Alexis Gabadinho & Nicolas S. MÃ¼ller, 2011. "Discrepancy Analysis of State Sequences," Sociological Methods & Research, , vol. 40(3), pages 471-510, August.
- 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.
- 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.
- Cees H. Elzinga, 2010. "Complexity of Categorical Time Series," Sociological Methods & Research, , vol. 38(3), pages 655-656, February.
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