Impact of crude prices shock on GDP growth: using a linear, nonlinear and extreme value framework

IF 0.8 Q4 DEVELOPMENT STUDIES Indian Growth and Development Review Pub Date : 2023-03-15 DOI:10.1108/igdr-05-2022-0065
S. Bhadury, Satadru Das, Saurabh Ghosh, Pawan Gopalakrishnan
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Abstract

Purpose Rising crude oil prices are likely to have an asymmetric and nonlinear negative impact on GDP growth. The purpose of this paper is to ask the following questions: Does the effect of a crude price shock depend on the position of crude price cycle, i.e. is the effect of price shock larger/smaller in periods of already elevated crude price? And, does the effect of crude price shock depend on the position of the economy in the business cycle, i.e. does the crude price shock affect growth differentially in periods of low/high growth? Design/methodology/approach The authors use a local linear projection (LLP) model to examine the asymmetric impact of crude price on GDP growth in an environment of high crude price. Next, a quantile regression model is used to account for differential impact on growth around high and low growth periods. Findings Results from the LLP model show that when oil price is above $70, each additional percentage point of increase in oil price results in a 20 basis point (bps) drop in quarterly GDP growth rate on average. The impact is felt between the third and sixth quarters. When oil prices rise above $80, the impact is similar, with a sharper drop in growth (30 bps). The exercise with quantile regression shows that the impact of an increase in crude prices on growth is almost double at lowest quantiles of growth compared with the median. Originality/value There is a growing literature that evaluates the impact of oil price in developing economies. However, nonlinearities in crude price-GDP growth dynamics have not received enough attention, especially during phases of elevated crude price or a growth downcycle. The authors believe that accounting for such effects is especially relevant in the present economic scenario of high oil prices because of geopolitical crises and a period of vulnerable growth because of supply chain issues arising out of the pandemic. Using recent data from oil-importing emerging market economies such as India, this paper fills a crucial gap in the literature.
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原油价格冲击对GDP增长的影响:基于线性、非线性和极值框架
目的原油价格上涨可能对GDP增长产生不对称和非线性的负面影响。本文的目的是提出以下问题:原油价格冲击的影响是否取决于原油价格周期的位置,即在原油价格已经上涨的时期,价格冲击的作用是大还是小?而且,原油价格冲击的影响是否取决于经济在商业周期中的地位,即原油价格冲击在低增长/高增长时期对增长的影响是否不同?设计/方法/方法作者使用局部线性投影(LLP)模型来检验高原油价格环境下原油价格对GDP增长的不对称影响。接下来,使用分位数回归模型来解释高增长期和低增长期对增长的不同影响。LLP模型的结果显示,当油价超过70美元时,油价每增加一个百分点,季度GDP增长率平均就会下降20个基点。这种影响在第三季度和第六季度之间显现出来。当油价上涨到80美元以上时,影响是相似的,增长率会急剧下降(30个基点)。分位数回归表明,与中位数相比,在增长的最低分位数,原油价格上涨对增长的影响几乎是中位数的两倍。原创性/价值评估油价对发展中经济体影响的文献越来越多。然而,原油价格GDP增长动态的非线性问题没有得到足够的关注,尤其是在原油价格上涨或增长下降周期的阶段。作者认为,在当前的经济形势下,由于地缘政治危机导致的高油价和由于疫情引发的供应链问题导致的脆弱增长期,对这些影响的解释尤其重要。本文利用印度等石油进口新兴市场经济体的最新数据,填补了文献中的一个关键空白。
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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CiteScore
2.80
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0.00%
发文量
7
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