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The Transition from Short- to Long-Term Unemployment: A Statistical Profiling Model for Ireland


    (The Economic and Social Research Institute, Dublin Trinity College Dublin)


    (The Economic and Social Research Institute Dublin, Trinity College Dublin, National Institute of Labour Studies Flinders University Australia)


    (The Economic and Social Research Institute Dublin, Trinity College Dublin)

This paper develops a statistical profiling model of long-term unemployment risk in Ireland. We use a combination of administrative data and information gathered from a unique questionnaire that was issued to all jobseekers making a social welfare claim between September and December 2006 who were then tracked for eighteen months. We find that factors such as a recent history of long-term unemployment, advanced age, number of children, relatively low levels of education, literacy/numeracy problems, location in urban areas, lack of personal transport, low rates of recent labour market engagement, spousal earnings and geographic location all significantly affect the likelihood of remaining unemployed for twelve months or more. While the predicted probability distribution for males was found to be relatively normal, the female distribution was bimodal, indicating that larger proportions of females were at risk of falling into long-term unemployment. We find evidence that community based employment schemes for combating long-term unemployment have little effect as participants re-entering the register typically experience extended durations. Finally, we argue that the adoption of an unemployment profiling system will result in both equity and efficiency gains to Public Employment Services

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Article provided by Economic and Social Studies in its journal Economic and Social Review.

Volume (Year): 43 (2012)
Issue (Month): 1 ()
Pages: 135–164

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Handle: RePEc:eso:journl:v:43:y:2012:i:1:p:135-164
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  1. Michael Lechner & Jeffrey Smith, 2003. "What is the Value Added by Caseworkers?," University of St. Gallen Department of Economics working paper series 2003 2003-05, Department of Economics, University of St. Gallen.
  2. Stefanie Behncke & Markus Frölich & Michael Lechner, 2006. "Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland," CESifo DICE Report, Ifo Institute for Economic Research at the University of Munich, vol. 4(2), pages 61-68, 07.
  3. Stefanie Behncke & Markus Frölich & Michael Lechner, 2007. "Targeting Labour Market Programmes - Results from a Randomized Experiment," University of St. Gallen Department of Economics working paper series 2007 2007-37, Department of Economics, University of St. Gallen.
  4. Frölich, Markus & Lechner, Michael & Steiger, Heidi, 2003. "Statistically assisted programme selection - International experiences and potential benefits for Switzerland," Working Paper Series 2004:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  5. Rosholm, Michael & Svarer, Michael & Hammer, Bo, 2004. "A Danish Profiling System," IZA Discussion Papers 1418, Institute for the Study of Labor (IZA).
  6. Fahr, René & Sunde, Uwe, 2006. "Did the Hartz Reforms Speed-Up Job Creation? A Macro-Evaluation Using Empirical Matching Functions," IZA Discussion Papers 2470, Institute for the Study of Labor (IZA).
  7. Denny, Kevin & Harmon, Colm & O'Connell, Philip J., 2000. "Investing in People: The Labour Market Impact of Human Resource Interventions Funded under the 1994-1999 Community Support Framework in Ireland," Research Series, Economic and Social Research Institute (ESRI), number PRS38.
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