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

Ferdie Angelo A. Perante, Wilma A. Perante and Wilferd Jude A. Perante
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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

International Journal of Research and Innovation in Social Science, 2023, vol. 7, issue 9, 2007-2017

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.

Date: 2023
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