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Unemployment Before–Amidst COVID-19: Shifts in the Predictive Factors of the Number of Weeks Spent Looking for Work

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  • Ferdie Angelo A. Perante

    (UP Diliman BS in Statistics-Student, Philippine Statistics Authority, Eastern Visayas State University-Ormoc Campus, Philippines)

  • Wilma A. Perante

    (UP Diliman BS in Statistics-Student, Philippine Statistics Authority, Eastern Visayas State University-Ormoc Campus, Philippines)

  • Wilferd Jude A. Perante

    (UP Diliman BS in Statistics-Student, Philippine Statistics Authority, Eastern Visayas State University-Ormoc Campus, Philippines)

Abstract

Further exacerbated by the lack of studies on unemployment duration, the Philippines’ economic situation has been one of the worsts in years due to the COVID-19 pandemic. The issue moved the research to determine the predictiveness of the various characteristics (e.g., demographic) of the unemployed, in the Philippines, to the number of weeks they spent looking for work. Furthermore, it also drove the paper to explore the shifts in these features as the pandemic started. To do that, the study fitted the 2019 and 2020 Labor Force Surveys of the Philippines Statistics Authority into a Random Forest Regression Model. The results revealed that the predictive factors of unemployment duration in 2019 were age, currently attending school, and relationship to the household head. By 2020, age was now the only factor that was significant to the model prediction.

Suggested Citation

  • Ferdie Angelo A. Perante & Wilma A. Perante & Wilferd Jude A. Perante, 2023. "Unemployment Before–Amidst COVID-19: Shifts in the Predictive Factors of the Number of Weeks Spent Looking for Work," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(9), pages 2007-2017, September.
    • Handle: RePEc:bcp:journl:v:7:y:2023:i:9:p:2007-2017
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    References listed on IDEAS

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    1. J. Matthew Shumway, 1993. "Factors Influencing Unemployment Duration With A Special Emphasis On Migration: An Investigation Using Sipp Data And Event History Methods," Papers in Regional Science, Wiley Blackwell, vol. 72(2), pages 159-176, April.
    2. Robert G. Valletta, 2013. "Long-term unemployment: what do we know?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue feb4.
    3. Kupets, Olga, 2006. "Determinants of unemployment duration in Ukraine," Journal of Comparative Economics, Elsevier, vol. 34(2), pages 228-247, June.
    4. Bart Cockx & Muriel Dejemeppe, 2005. "Duration dependence in the exit rate out of unemployment in Belgium. Is it true or spurious?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 1-23, January.
    5. Fernández-Blanco, Javier & Preugschat, Edgar, 2018. "On the effects of ranking by unemployment duration," European Economic Review, Elsevier, vol. 104(C), pages 92-110.
    6. Viktor Steiner, 2001. "Unemployment Persistence in the West German Labour Market: Negative Duration Dependence or Sorting?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 91-113, February.
    7. Melanie Arntz & Ralf Wilke, 2009. "Unemployment Duration in Germany: Individual and Regional Determinants of Local Job Finding, Migration and Subsidized Employment," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 43-61.
    8. Katherine Kuang & Robert G. Valletta, 2012. "Why is unemployment duration so long?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jan30.
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