Asymmetric Link between Unemployment, Inflation and GDP growth rate in the United Kingdom Economy: An ARDL Bounds Approach

Dr Mohammed Ageli
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Abstract

This paper investigates the relationships between unemployment, inflation, and economic growth in the UK. Quarterly data for the period 1990: Q1 to 2020: Q4. The ARDL bounds test model, Vector Error Correction Model (VECM), and Granger causality test are applied to examine the variables' short-run and long-run causal relationship. Unemployment rate (UR), inflation rate (INFR) and GDP growth rate (GDPGR) as a proxy of economic growth have been taken to study the relationships among unemployment, inflation, and economic growth. The short-run ARDL model in the study suggests that the entire variables (GDPGR, DUR and INFR) have a short-run causal relationship with each other. It follows the economic theories of Okun’s Law and the short-run Philips curve that there is an interrelationship among economic growth, unemployment, and inflation. The ARDL bounds test and VECM findings suggest strong evidence of cointegration between the three variables, which indicates a long-run equilibrium relationship. The pairwise Granger Causality test suggests a bi-directional relationship between economic growth and unemployment and a unidirectional relationship between inflation and economic growth (INFR→GDPGR) and between inflation and unemployment (INFR→DUR). In this case, monetary and fiscal policies may no longer effectively achieve policymakers’ economic growth and development goals.
英国经济中失业、通货膨胀与GDP增长率的不对称关系:ARDL边界方法
本文研究了英国失业、通货膨胀和经济增长之间的关系。1990年季度数据:第一季度至2020年第四季度。运用ARDL边界检验模型、向量误差修正模型(Vector Error Correction model, VECM)和格兰杰因果检验检验变量的短期和长期因果关系。以失业率(UR)、通货膨胀率(INFR)和GDP增长率(GDPGR)作为经济增长的代表来研究失业、通货膨胀和经济增长之间的关系。本研究的短期ARDL模型表明,整个变量(GDPGR、DUR和INFR)之间存在短期因果关系。根据奥肯定律和短期菲利普斯曲线等经济理论,经济增长、失业和通货膨胀之间存在着相互关系。ARDL边界检验和VECM结果表明,这三个变量之间存在协整关系,表明存在长期均衡关系。两两格兰杰因果检验表明,经济增长与失业之间存在双向关系,通货膨胀与经济增长之间存在单向关系(INFR→GDPGR),通货膨胀与失业之间存在单向关系(INFR→DUR)。在这种情况下,货币和财政政策可能不再有效地实现决策者的经济增长和发展目标。
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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