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Spatial Patterns and Socio-Demographic Determinants of the Decision Maker on Large Household Purchases in Nigeria: A Bayesian Semi-parametric Geo-Additive Model

机译:尼日利亚大型家庭购买决策者的空间格局和社会人口统计学决定因素:贝叶斯半参数地理叠加模型

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The member of family who makes final decision on household purchases is a phenomenon that may pose a psychological problem for a potential father and mother in Nigerian households. This paper examines the possible relationship between the decision maker, socio-demographic features of the couples and geographical variations. Data used for this analysis came from the 2013 Nigerian Demographic and Health Survey (NDHS). Conventional parametric regression models are not flexible enough to cope with possibly nonlinear effects of the continuous covariates and cannot flexibly model favourably spatial influences. As a result, a semi-parametric model using the Bayesian approach was adopted to evaluate the relationship of covariates of different types and possible spatial variation. Binomial probit model for 2-category responses and unordered multinomial probit model for 4-category responses were considered. Findings reveal some spatial variations with distinct high significant outcome in favour of the fathers as final decision makers in some states in the south-west, north-central, north-east and south-south zones of Nigeria. The effect of father’s and mother’s age were nonlinear. Regions, educational level, and couple’s income contribute significantly. Results also show that most fathers who have final say on household purchases are between ages of 25 and 80 after which a sharp drop is noticed, while a wife’s drops slowly before the age of 25. There is need to empower more women in the regions where the man as the father is the decision maker on household purchases in the area of provision of quality education and good employment.
机译:对家庭购买做出最终决定的家庭成员这一现象可能对尼日利亚家庭中潜在的父母造成心理问题。本文研究了决策者,夫妻的社会人口特征与地理变化之间的可能关系。用于此分析的数据来自2013年尼日利亚人口与健康调查(NDHS)。传统的参数回归模型不够灵活,无法应对连续协变量的非线性影响,也无法灵活地对空间影响进行建模。结果,采用了贝叶斯方法的半参数模型来评估不同类型的协变量与可能的空间变化之间的关系。考虑了用于二类响应的二项式概率模型和用于四类响应的无序多项式概率模型。研究结果揭示了一些空间变异,并具有明显的重大意义,这有利于父亲成为尼日利亚西南,中北部,东北和南南一些地区的最终决策者。父亲和母亲的年龄是非线性的。地区,教育程度和夫妇的收入做出了重大贡献。结果还表明,大多数对家庭购买拥有最终决定权的父亲年龄在25至80岁之间,此后急剧下降,而妻子的下降趋势则在25岁之前缓慢下降。作为父亲的男人是提供优质教育和良好就业领域的家庭购买决策者。

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