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How household transportation expenditures have evolved in Canada: a long term perspective

机译:长期来看加拿大的家庭运输支出如何变化

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In recent years, increasing recognition of the challenges associated with global climate change and inequity in developed countries have revived researcher's interest towards analyzing transportation related expenditure of households. The current research contributes to travel behaviour literature by developing an econometric model of household budgetary allocations with a particular focus on transportation expenditure. Towards this end, we employ the public-use micro-data extracted from the Survey of Household Spending (SHS) for the years 1997-2009. The proposed econometric modeling approach is built on the multiple discrete continuous extreme value model (MDCEV) framework. Specifically, in our analysis, the scaled version of the MDCEV model outperformed its other counterparts. Broadly, the model results indicated that a host of household socioeconomic and demographic attributes along with the residential location characteristics affect the apportioning of income to various expenditure categories and savings. We also observed a relatively stable transportation spending behaviour over time. Additionally, a policy analysis exercise is conducted where we observed that with increase in health expenses and reduction in savings results in adjustments in all expenditure categories.
机译:近年来,越来越多的人意识到与全球气候变化和发达国家的不平等相关的挑战,这激发了研究人员对分析与家庭交通相关的支出的兴趣。当前的研究通过开发一种经济预算模型的家庭预算拨款,特别是交通支出,为旅行行为文献做出了贡献。为此,我们采用了从1997-2009年家庭支出调查(SHS)中提取的公共微型数据。所提出的计量经济学建模方法基于多重离散连续极值模型(MDCEV)框架。具体而言,在我们的分析中,MDCEV模型的缩放版本优于其他模型。从广义上讲,模型结果表明,许多家庭的社会经济和人口属性以及居住区位特征会影响收入对各种支出类别和储蓄的分配。我们还观察到了一段时间内相对稳定的运输支出行为。此外,我们进行了一项政策分析,发现随着医疗费用的增加和储蓄的减少,所有支出类别都会进行调整。

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