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

dc.contributor.authorJavokhir Fakhriddinovich Boboyorov
dc.date.accessioned2026-01-02T10:55:44Z
dc.date.issued2024-03-06
dc.description.abstractNowadays, 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
dc.formatapplication/pdf
dc.identifier.urihttps://geniusjournals.org/index.php/ejhge/article/view/5723
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/76726
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/ejhge/article/view/5723/4800
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceEurasian Journal of History, Geography and Economics; Vol. 30 (2024): EJHGE; 1-5
dc.source2795-7659
dc.subjectHousehold Poverty
dc.subjectOrdinary Least Square Regression
dc.subjectHousehold Size
dc.titleAnalyzing Determinants of Household Poverty in Brazil: An Empirical Study Using Ordinary Least Square Regression.
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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