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Application of logistic regression models to assess household financial decisions regarding debt

机译:逻辑回归模型在债务中评估家庭财务决策的应用

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The paper presents methodological assumptions regarding the logistic regression model and an example of using this research method to evaluate financial decisions taken by households. The aim of the study was to identify and evaluate socio-economic factors determining the debt of households in Central Pomerania using a logistic regression model. The source of data was the results of a survey conducted among 1,000 households of Central Pomerania (Poland). The obtained results prove that the following factors related to the socio-economic characteristics of households: economic education of the head of the household, developmental phase of the household, socio-economic type of the household had a statistically significant positive impact on the likelihood of Central Pomeranian households using external sources of financing: household income and household income. These factors increase the likelihood of households using external sources of financing. In turn, a statistically significant negative impact on the analyzed phenomenon had the household income diversification and the age of the household head.
机译:本文提出了关于逻辑回归模型的方法论假设和使用本研究方法评估家庭所采取的财务决策的示例。该研究的目的是识别和评估利用逻辑回归模型确定在波美尼亚中部的家庭债务的社会经济因素。数据来源是一项调查的结果,在波美尼亚(波兰)的1,000户中进行了调查。获得的结果证明,与家庭的社会经济特征有关的以下因素:家庭的经济教育,家庭的发展阶段,家庭的社会经济类型对可能性的统计学积极影响中央博美犬家庭使用外部融资来源:家庭收入和家庭收入。这些因素利用外部融资来源增加家庭的可能性。反过来,对分析的现象的统计上显着的负面影响有家庭收入多样化和家庭人士的年龄。

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