Analyzing Determinants of Household Poverty in Brazil: An Empirical Study Using Ordinary Least Square Regression.

Authors

  • Javokhir Fakhriddinovich Boboyorov The student at Westminster International University in Tashkent

Keywords:

Household Poverty, Ordinary Least Square Regression, Household Size

Abstract

Nowadays, household poverty is becoming one of the sharpest problems all around the world. To analyze the determinants of household poverty, significant family welfare factors were identified using Ordinary Least Square regression. Consumer expenditure was shown to be a credible welfare indicator for families and the first step in measuring poverty. In linear regression, the independent variable was logarithmically transformed. Brazil was investigated for the study. The study used 2000–2020 yearly time-series data. Household size was found to be a major factor affecting average household consumption. Education (especially literacy) and unemployment also reduce spending. Even with high independent variable significance, numerous additional factors can affect family poverty. Further research is needed to develop more effective home poverty programs

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Published

2024-03-06

Issue

Section

Articles

How to Cite

Analyzing Determinants of Household Poverty in Brazil: An Empirical Study Using Ordinary Least Square Regression. (2024). Eurasian Journal of History, Geography and Economics, 30, 1-5. https://geniusjournals.org/index.php/ejhge/article/view/5723