Analysis of the Simultaneous Problems of Poverty and Gross Domestic Product (GDP) as Macroeconomic Factors in a Developing Country

Muhammad Masyhuri
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Abstract

When analysing macroeconomic factors using an econometric approach that attempts to determine the successful economic development of countries, such as in the analysis of poverty and gross domestic product (GDP), problems have been repeatedly encountered in considering the variables involved simultaneously. To overcome this problem, it is necessary to use the two-stage least squares (2SLS) method as the best estimator by applying the simultaneous equation model. The objective of this study is to analyse the simultaneous equation model between poverty and GDP in a developing country such as Indonesia. The macroeconomic data sources used for this study are secondary time series data from 1990 to 2017 obtained from Indonesia Statistics Agency, IMF, UNDP and World Bank. The result shows that there is strong evidence that poverty and GDP act simultaneously or endogenously in the model. From the results, it is recommended that in order to achieve higher GDP in the future, the Indonesian government should pay more attention to alleviating poverty rates, reducing unemployment rates, lowering merchandise imports, and improving economic growth in addressing macroeconomic problems in the country.
发展中国家作为宏观经济因素的贫困和国内生产总值同时存在的问题分析
在使用计量经济学方法分析宏观经济因素时,例如在分析贫穷和国内生产总值时,试图确定各国的经济发展是否成功,但在同时考虑所涉及的变量时一再遇到问题。为了克服这一问题,有必要采用联立方程模型,将两阶段最小二乘(2SLS)方法作为最佳估计器。本研究的目的是分析印度尼西亚等发展中国家的贫困与GDP之间的联立方程模型。本研究使用的宏观经济数据来源是1990年至2017年从印度尼西亚统计局、国际货币基金组织、联合国开发计划署和世界银行获得的二次时间序列数据。结果表明,在模型中,贫困和GDP同时或内生地起作用。从结果来看,建议为了在未来实现更高的GDP,印尼政府在解决该国宏观经济问题时应更加重视降低贫困率,降低失业率,降低商品进口,提高经济增长。
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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