HOUSEHOLD AND CONTEXTUAL INDICATORS OF POVERTY IN THE GAUTENG PROVINCE OF SOUTH AFRICA: A MULTILEVEL ANALYSIS

N. S. Molepo, N. S. Molepo
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Abstract

This study aims to analyse the socio-economic factors contributing to poverty reduction in South Africa using time series data from 2006 to 2019. The stationarity of the variables will be assessed by applying the Augmented Dickey Fuller (ADF) test. The Autoregressive Distributed Lag (ARDL) analytical technique will be adopted to analyse the cointegration amongst variables pertaining to different orders of cointegration amongst lower bound [I(0)] and upper bound [I(1)]. The study will analyse the long-term and short-term effects of the socio-economic factors contributing to poverty reduction in South Africa. If the calculated F-statistic is greater than the upper bound [I(1)], the Error Correction Model will be adopted to assess the short-run effects. Diagnostic tests will be performed to test the robustness of the model. The tests will performed will include: (1) the Breusch-Godfrey test for serial correlation; (2) the Jarque-Bera test for normality; (3) the Breusch-Pagan-Godfrey technique to test for heteroscedasticity; and (4) the cumulative sum chart to detect deviation from the average associated with a subgroup.
南非豪登省贫困的家庭和背景指标:多层次分析
本研究旨在利用2006年至2019年的时间序列数据分析有助于南非减贫的社会经济因素。变量的平稳性将通过应用增广Dickey-Fuller(ADF)检验进行评估。将采用自回归分布滞后(ARDL)分析技术来分析下界[I(0)]和上界[I(1)]之间属于不同协整阶的变量之间的协整。该研究将分析有助于南非减贫的社会经济因素的长期和短期影响。如果计算的F统计量大于上限[I(1)],则将采用误差校正模型来评估短期效应。将进行诊断测试,以测试模型的稳健性。将进行的测试将包括:(1)序列相关性的Breusch-Goldfrey测试;(2) Jarque-Bera正态性检验;(3) 测试异方差的Breusch-Pagan-Godfrey技术;以及(4)累积和图,以检测与子组相关联的平均值的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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