Health Financing and Household Financial Protection in D.R. Congo: A Vector Autoregressive Model (VaR) Analysis

Emmanuel BINENE SABWE, Logas LOWENGA KOYAMODJA, Yannick LUBONGO MBILU, Floribert NTUNGILA NKAMA
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Abstract

This paper examines the health-related expenditures of economic agents in the Democratic Republic of Congo (households, government and its external technical and financial partners). Given health care high costs of health care in the DRC, access to appropriate health care is hindered due to low income. As a result, government and its external technical and financial partners indispensably step in to ensure that vulnerable households are protected from ruinous expenses.     At the same time, the paper provides an overview of public finances in the DRC health sector using a theoretical approach and analyzes government intervention effects and their external technical and financial partners intervention effects using a vector autoregressive model (VaR) through random shock simulations and variance decomposition. This analysis is carried out assuming that socioeconomic environment is constant "all things being equal". The result is that household health-related expenditure per capita forecasts can be significantly improved at 0.05 threshold by public health-related expenditure per capita and by health-related expenditure per capita forecasts engaged by external technical and financial partners.
刚果民主共和国的卫生融资和家庭金融保护:一个向量自回归模型(VaR)分析
本文考察了刚果民主共和国经济主体(家庭、政府及其外部技术和金融合作伙伴)的健康相关支出。鉴于刚果民主共和国医疗保健费用高昂,由于收入低,获得适当医疗保健的机会受到阻碍。因此,政府及其外部技术和金融合作伙伴必须介入,以确保脆弱家庭免受毁灭性开支的影响。同时,本文采用理论方法概述了刚果民主共和国卫生部门的公共财政状况,并通过随机冲击模拟和方差分解,使用向量自回归模型(VaR)分析了政府干预效果及其外部技术和金融合作伙伴的干预效果。这一分析是在假设社会经济环境是恒定的“一切都是平等的”的情况下进行的。结果表明,通过公共卫生相关人均支出和外部技术和财务伙伴参与的卫生相关人均支出预测,可以在0.05阈值下显著改善家庭卫生相关人均支出预测。
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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