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Long-term unemployment

Author

Listed:
  • Emmanuel Apergis
  • Nicholas Apergis

Abstract

Purpose - This paper empirically explores the role of skill losses during unemployment behind firms' behaviour in interviewing long-term unemployed Design/methodology/approach - The analysis makes use of the Work Employment Relations Survey in the UK, while it applies a panel probit modelling approach to estimate the empirical findings. Findings - The findings document that skill losses during long-term unemployment reduce the likelihood of an interview, while they emphasize the need for certain policies that could compensate for this deterioration of skills. For robustness check, the estimation strategy survives the examination of the same predictors under different types of the working environment. Originality/value - The original values of the work 1 combines for the first time both duration and technology as predictors of interview probability. Until now, the independent variables were used to test whether an individual has managed to exit unemployment, thus skipping the step of the interview process.

Suggested Citation

  • Emmanuel Apergis & Nicholas Apergis, 2020. "Long-term unemployment," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(4), pages 713-727, February.
  • Handle: RePEc:eme:jespps:jes-12-2018-0424
    DOI: 10.1108/JES-12-2018-0424
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    Citations

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    Cited by:

    1. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.

    More about this item

    Keywords

    Long-term unemployed; Probability of interviewing; Labour skills; UK; C33; J20;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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