The Application of Logistic Regression to Measure the Impact of Covid-19 Pandemic on Household Credit Financing

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Published: Oct 29, 2021
DOI: https://doi.org/10.14421/quadratic.2021.012-01
Keywords:
logistic regression, covid-19 pandemic, economics, household credit financing

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Devi Nurtiyasari Nurtiyasari
UIN Sunan Kalijaga Yogyakarta
https://orcid.org/0000-0002-3944-1757
Angga Syahputra
IAIN Lhokseumawe
Rashif Hilmi
UIN Sunan Kalijaga Yogyakarta

Abstract

The spread of the Covid-19 outbreak has a direct impact on the economic sector. The impact of Covid-19 on the economic sector can be seen from Non-Performing Loans (NPL). Credit financing affects the Financial System Stability. Furthermore, households are the sector most affected by Covid-19, because household income is obtained from other sectors that are also affected by the spread of Covid-19. This impact can be seen in terms of income, savings/assets, and consumption. This study aims to analyze the impact of Covid-19 as measured by the variables of income, savings/assets, and consumption on household credit financing using the Logistic Regression Model. The modelling results show that the consumption and savings variables do not have a significant effect on household credit financing, while the income variables have a significant effect and are able to predict 15.5% of the variability of household credit financing. Furthermore, based on the odds ratio value of the model, information is obtained that the effect of decreased household income during the Covid-19 pandemic affected one time on the value of the odds ratio for household credit financing. Overall, the model was able to predict the data correctly by 81.4%.

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How to Cite
Nurtiyasari, D. N., Syahputra, A. ., & Hilmi, R. (2021). The Application of Logistic Regression to Measure the Impact of Covid-19 Pandemic on Household Credit Financing . Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education, 1(2), 80–87. https://doi.org/10.14421/quadratic.2021.012-01
Issue
Vol. 1 No. 2 (2021): October 2021
Section
Articles

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