Preprint Article Version 1 NOT YET PEER-REVIEWED

How Delayed is “Delayed Integration”? Estimating Transitions out of Unemployment Spells Using Discrete-Time Survival Models

  1. School of Social Sciences and Humanities, University of Tampere, 33100 Tampere, Finland
  2. School of Information Sciences, University of Tampere, 33100 Tampere, Finland
Version 1 : Received: 31 July 2016 / Approved: 1 August 2016 / Online: 1 August 2016 (09:47:20 CEST)

How to cite: Krutova, O.; Nummi, T. How Delayed is “Delayed Integration”? Estimating Transitions out of Unemployment Spells Using Discrete-Time Survival Models. Preprints 2016, 2016080001 (doi: 10.20944/preprints201608.0001.v1). Krutova, O.; Nummi, T. How Delayed is “Delayed Integration”? Estimating Transitions out of Unemployment Spells Using Discrete-Time Survival Models. Preprints 2016, 2016080001 (doi: 10.20944/preprints201608.0001.v1).

Abstract

This paper studies the duration patterns of unemployment spells for immigrants and the determinants of unemployment’s completion into one of a number of studied labour market states in Finland. We estimate a duration model for unemployment with competing risks of its terminating into employment, labour market training or economic inactivity. Taking into account the wide period of observation and opportunities to analyse processes of labour market integration during various periods of economic development in Finland, in combination with the individualistic character of the labour careers of immigrants, this research is beneficial owing to the many various findings concerning labour market integration of immigrants. The approach undertaken in this research has a dualistic “descriptive-dynamic” character under which integration is understood as a never-ending process, which is conditioned by a time period of long-term existence and a context of solitary action. We find that transitions out of unemployment spells have a cyclical character; after every new “cycle” in unemployment, the probability of terminating unemployment decreases further. We also find that ascriptive factors make sense in the process of job-placement of immigrants from unemployment. Therefore, the gender, education and age of immigrants, as well as the effect of the period in which first unemployment occurred, potentially predict transitions out of unemployment and further labour market integration of immigrants.

Subject Areas

discrete-time hazard models; labour market transitions; duration of unemployment spells; immigration

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