Classification Of Country Status In 2022 Based On Social Indicators With Ordinal Logistic Regression

Sugha Faiz Al  Maula; Alfi Nur  Nitasari; Mochamad Rasyid Aditya  Putra; Maelcardino Christopher  Justin; Salma Bethari Andjani  Sumarto; Suliyanto Suliyanto; Toha  Saifudin

doi:10.20956/j.v20i3.32356

Authors

Sugha Faiz Al Maula Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Alfi Nur Nitasari Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Mochamad Rasyid Aditya Putra Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Maelcardino Christopher Justin Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Salma Bethari Andjani Sumarto Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Suliyanto Suliyanto Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia
Toha Saifudin Department of Mathematics, Faculty of Science and Technology, University of Airlangga, Indonesia

DOI:

https://doi.org/10.20956/j.v20i3.32356

Keywords:

Country Classification, Ordinal Logistic Regression, Social Indicator

Abstract

This research examines the classification of country status in 2022 by applying ordinal logistic regression on various social indicators including education, health and economic. The urgency of the research is to know the country determine factors with specific factors in the form of research variables that can be useful for policy makers, unlike the existing classification which is only divided based on GDP per capita or HDI score only. By dividing 3 country status classes, namely not developed, developing and developed countries using the world bank classification baseline, the accuracy results were obtained at 72,5% but there were several variables that were not significant. After re-modelling, the accuracy was found increased to 76.4% with the odds ratio results for the minimum wage variable being 42,32 in the high class compared to the middle class and 11,66 for the middle class compared to the lower class, which means that the higher the minimum wage tends to be classify countries as developed countries. Another variable that has significance level is the birth rate with an odds ratio of 0,71 in the high and middle classes and 0.89 in the middle and lower classes comparison, which shows that this variable has a negative effect because the odds ratio is <1, which means that the higher the birth rate tends to make the country will be classified as a non-developed country.

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