Individual Vulnerability During Covid Using The Principal Component Analysis Method

Ruth Meilianna

Authors

Ruth Meilianna Badan Pusat Riset dan Inovasi Nasional (BRIN), Jakarta

Keywords:

covid-19, PCA, vulnerability, gender, education

Abstract

The Covid-19 pandemic affects almost all aspects globally, including health, economic, educational aspects, and also affects individual vulnerability can be affected. This research wants to examine worker vulnerability which is formed using a worker vulnerability index which is formed from various dimensions. The data used is the World Bank High Frequency Household Survey (HIFY) data which is specifically aimed at looking at aspects affected during Covid-19 until now, namely 2019 – 2023. The method used is Principal Component analysis. The results of the analysis show that female individuals tend to have higher vulnerability than men. Apart from that, there is a tendency for individuals with higher education, have lower vulnerability than individuals with low education. There is also a trend towards an improvement in the individual vulnerability index after Covid-19.

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