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Financial Structure, Misery Index, and Economic Growth: Time Series Empirics from Pakistan

机译:金融结构,痛苦指数和经济增长:来自巴基斯坦的时间序列经验

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This study empirically analyzes the impact of the financial structure and misery index oneconomic growth in Pakistan. We adopted Autoregressive-Distributed Lag (ARDL) for a co-integrationapproach to the data analysis and used time series data from 1989 to 2017. We used GDP as thedependent variable; the Financial Development index (FDI) and misery index as the explanatoryvariables; and remittances, real interest, and trade openness as the control variables. The empiricalresults indicate the existence of a long-term relationship among the included variables in the modeland the FD index, misery index, interest rate, trade openness, and remittances as the main affectingvariables of GDP in the long run. The government needs appropriate reform in the financial sectorand external sector in order to achieve a desirable level of economic growth in Pakistan. The miseryindex is constructed based on unemployment and inflation, which has a negative implication on theeconomic growth, and the government needs policies to reduce unemployment and inflation.
机译:这项研究从经验上分析了金融结构和苦难指数对巴基斯坦经济增长的影响。我们采用自回归分布滞后(ARDL)进行数据分析的协整方法,并使用了1989年至2017年的时间序列数据。金融发展指数(FDI)和苦难指数作为解释性变量;以及汇款,实际利息和贸易开放度作为控制变量。实证结果表明,模型中所包含的变量与FD指数,痛苦指数,利率,贸易开放度和汇款作为长期影响GDP的主要变量之间存在长期关系。政府需要对金融部门和外部部门进行适当的改革,以使巴基斯坦的经济增长达到理想水平。苦难指数是基于失业和通货膨胀而建立的,这对经济增长具有负面影响,政府需要采取减少失业和通货膨胀的政策。

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