释放经济力量的力量:用ARDL方法探讨挪威和英国宏观经济因素与失业之间的关系

Farah Yasser, Muhammad Daniyal, Hafiza Ayesha Iftikhar
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引用次数: 1

摘要

失业问题是一个全球性的问题,对这个问题进行详细的研究是至关重要的。我们需要确定和分析影响一个国家失业的几个因素。本研究的目的是确定各种宏观经济因素和失业是如何相互作用的。在挪威和英国的情况下,这包括贸易、石油消费、私人部门的国内信贷、资本形成总额和通胀。本研究的基本目的是分析这些宏观经济因素对失业的影响是显著还是不显著。为了进行这项研究,期间为1979-2021。为了找出自变量对失业的影响,本研究采用KPSS检验和NG- Perron检验来确定变量是否平稳,然后运用ARDL检验失业与自变量之间的长期和短期协整关系。根据我们的研究结果,失业与贸易、国内银行对私营部门的贷款、总资本形成、石油消费之间存在显著的长期协整关系,并且在挪威的情况下与通货膨胀的关系不显著。如果我们谈论英国,所有这些因素在长期内都与失业显著共生。本研究还考虑了序列相关、异方差、正态性、函数形式、CUSUM和CUSUM平方等诊断检验。结果表明,误差项不存在序列相关问题,误差方差为均方差,函数形式定义良好,误差呈现正态分布特征。两国的CUSUM和CUSUM SQUARE均显示误差项均值和误差项方差的稳定性。 关键字;-失业,宏观经济因素,失业,英国和挪威,ARDL反弹测试
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Unleashing the power of economic forces: exploring the relationship between macroeconomic factors and unemployment in Norway and uk using ARDL approach
The problem of unemployment is a global issue and it is vital to carry out detailed examination of this issue. We need to identify and analyze several factors affecting unemployment in a country. The aim of this research is to determine how various macroeconomic factors and unemployment interact with each other. This includes trade, oil consumption, domestic credit to private sector, gross capital formation and inflation in context of Norway and UK. The basic purpose of this study is to analyze whether the effect of these macroeconomic factors on unemployment is significant or insignificant. In order to conduct this study, period of 1979-2021 is used. In order To find out the impact of independent variables on unemployment, this study executes the KPSS and NG- Perron test to determine whether a variable is stationary or not, and then apply ARDL in order to test the long run and short run Co-integration between unemployment and independent variables. According to our findings, there is a significant long run Cointegration present between Unemployment and trade, domestic bank lending to the private sector, gross capital formation, Oil consumption and show insignificant relation with inflation in case of Norway. If we talk about UK all these factor are significantly Co-integrated with unemployment in long run. Diagnostic tests are also considered in this study which include Serial correlation, Heteroscedasticity, normality, functional form, CUSUM and CUSUM square. The results provide a non-significant probability value higher than 0.1 which implies that the error term has no serial correlation issue and variance of error is homoscedastic along with well-defined functional forms and errors exhibit characteristics of a normal distribution. CUSUM and CUSUM SQUARE for both countries show stability of mean of error term and variance of error term. Key words; - Unemployment, Macroeconomics factor, unemployment, UK and Norway, ARDL bounce test
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