ABSTRACT
Studies into income, expenditure and standard of living of individuals
and households are well documented in literature. Many of these studies cover
different forms of poverty indicators and variables. The methods used in this
analysis were mainly econometric models.
The study is concerned with determining the indicators and variables
that possibly influence income, expenditure and living standard of households.
The objective here is to model the determinants of living standards or poverty
status of households. To this end, secondary data were obtained from the
Ghana Statistical Service.Some sections of GLSS 3 and GLSS 4 were used to
develop the model.
Nine variables were recorded and about 4500 respondents were used
for each of the surveys, that is GLSS 3 and GLSS 4. Exploratory data analysis
was employed in preliminary stages of the analysis. Logistic regression was
used because this modeling technique is considered as the appropriate
technique for modeling income and expenditure, since the outcome or
response variable is dichotomous.
It was found out that poverty was more prevalent and severe in the
rural areas than the urban areas. In determining the poverty status of a
household head, that is, whether he or she is poor or not poor; household size,
locality, age of head, education and occupation played a significant role. The
poverty status model developed was made up of the variables mentioned
above. A household status could be determined by substituting the values of
the variables in the model. The outcome (response) may be close to one or
zero.
NYARKU, E (2021). LOGISTIC REGRESSION ANALYSIS OF HOUSEHOLD INCOME AND " EXPENDITURE PATTERNS IN GHANA. Afribary. Retrieved from https://track.afribary.com/works/logistic-regression-analysis-of-household-income-and-expenditure-patterns-in-ghana
NYARKU, ERNEST "LOGISTIC REGRESSION ANALYSIS OF HOUSEHOLD INCOME AND " EXPENDITURE PATTERNS IN GHANA" Afribary. Afribary, 01 Apr. 2021, https://track.afribary.com/works/logistic-regression-analysis-of-household-income-and-expenditure-patterns-in-ghana. Accessed 19 Nov. 2024.
NYARKU, ERNEST . "LOGISTIC REGRESSION ANALYSIS OF HOUSEHOLD INCOME AND " EXPENDITURE PATTERNS IN GHANA". Afribary, Afribary, 01 Apr. 2021. Web. 19 Nov. 2024. < https://track.afribary.com/works/logistic-regression-analysis-of-household-income-and-expenditure-patterns-in-ghana >.
NYARKU, ERNEST . "LOGISTIC REGRESSION ANALYSIS OF HOUSEHOLD INCOME AND " EXPENDITURE PATTERNS IN GHANA" Afribary (2021). Accessed November 19, 2024. https://track.afribary.com/works/logistic-regression-analysis-of-household-income-and-expenditure-patterns-in-ghana