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Are Short-Lived Jobs Stepping Stones to Long-Lasting Jobs ?

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Author Info
Bart COCKX (GHENT UNIVERSITY, Sherppa and UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))
Matteo PICCHIO (UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))

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Abstract

This paper assesses whether short-lived jobs (lasting one quarter or less and involuntarily ending in unemployment) are stepping stones to long-lastinc jobs (enduring one year or more) for Belgian long-term unemployed school-leavers. We proceed in two steps. First, we estimate labour market trajectories in a multi-spell duration model that incorporates lagged duration and occurrence dependence. Second, we simulate them to find that (fe)male school-leavers accepting a short-lived job are, within two yeears, 13.4 (9.5) percentage points more likely to find a long-lastng job than in the counterfactual in whcih they reject short-lived jobs to search longer for more stable positions

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Publisher Info
Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) with number 2009004.

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Length: 38
Date of creation: 01 Feb 2009
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Handle: RePEc:ctl:louvir:2009004

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Related research
Keywords: Event history model; transition data; state dependence; short-lived jobs; stepping stone effect; long-lasting jobs;

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Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
J62 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Job, Occupational and Intergenerational Mobility; Promotion
J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search

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  1. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327. [Downloadable!]
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This page was last updated on 2009-11-10.


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