An Analysis of the Determinants of Household Consumption Expenditure and Poverty in Indonesia

Nely Suriani
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Abstract

The main question of the research that is examined in the research is what the determinants of household consumption expenditure and poverty in Indonesia are. For this purpose, six key variables were selected which includes, household consumption expenditure, level of gross national income (GNI), level of population, lending interest rate, unemployment rate and also global financial crises. However, paper specifically attempted to conduct data analysis on the Indonesia; hence data of Indonesia was collected from World Bank Data centre. Data for the Indonesia was available for the period of 1990 to 2019. To determine stationarity of the data, Augmented Dickey-fuller (ADF) test was conducted. The ADF revealed that data was non-stationary and to resolve the issue of unit root, second difference of the variables resolved the issue and tests were conducted on second difference. Furthermore, instead of using the ordinary least square (OLS) regression, autoregressive distrusted lag model (ARDL) was preferred. The bound test reveals that there is long-run effect means cointegration present among the variable; hence the household consumption expenditure could be used to predict or estimate the household consumption and poverty in long-run. Meanwhile, ARDL results has suggested that there is no short-run effect of any of the regressors on the regressand household consumption expenditure and poverty.
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印尼家庭消费支出与贫困的决定因素分析
本研究考察的主要问题是印度尼西亚家庭消费支出和贫困的决定因素是什么。为此,选择了六个关键变量,包括家庭消费支出,国民总收入水平(GNI),人口水平,贷款利率,失业率和全球金融危机。然而,本文专门试图对印度尼西亚进行数据分析;因此,印度尼西亚的数据是从世界银行数据中心收集的。印度尼西亚的数据为1990年至2019年。为了确定数据的平稳性,进行了增强Dickey-fuller (ADF)检验。ADF显示数据是非平稳的,为了解决单位根的问题,变量的二次差分解决了这个问题,并对二次差分进行了检验。此外,采用自回归的不可信滞后模型(ARDL)代替普通最小二乘(OLS)回归。边界检验表明,各变量之间存在长期效应均值协整;因此,家庭消费支出可以用来预测或估计家庭消费与长期贫困的关系。同时,ARDL结果表明,任何回归量对家庭消费支出和贫困的回归都没有短期影响。
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