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Hyunjoo Kim Karlsson
Department of Economics and Statistics, The Linnaeus University, Växjö, Sweden

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Article
Published: 26 May 2020 in Empirical Economics
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This study investigates Granger causality and instantaneous causality between financial development and economic development for 76 economies of four different income levels. The main novelty of the study is that it fills a gap in existing studies on the relationship between financial development and economic development by employing wavelet analysis, which enables us to study the varying timescale relationships of the variables. Among the findings is that at the scale of 4–8 years, it is more common for financial development and economic development to support each other once a country achieves at least lower-middle-income status.

ACS Style

Hyunjoo Kim Karlsson; Kristofer Månsson; Scott Hacker. Revisiting the nexus of the financial development and economic development: new international evidence using a wavelet approach. Empirical Economics 2020, 60, 2323 -2350.

AMA Style

Hyunjoo Kim Karlsson, Kristofer Månsson, Scott Hacker. Revisiting the nexus of the financial development and economic development: new international evidence using a wavelet approach. Empirical Economics. 2020; 60 (5):2323-2350.

Chicago/Turabian Style

Hyunjoo Kim Karlsson; Kristofer Månsson; Scott Hacker. 2020. "Revisiting the nexus of the financial development and economic development: new international evidence using a wavelet approach." Empirical Economics 60, no. 5: 2323-2350.

Journal article
Published: 07 August 2018 in Sustainability
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This paper applies wavelet multi-resolution analysis (MRA), combined with two types of causality tests, to investigate causal relationships between three variables: real oil price, real interest rate, and unemployment in Norway. Impulse response functions were also utilised to examine effects of innovation in one variable on the other variables. We found that causal relations between the variables tend to be stronger as the wavelet time scale increases; specifically, there were no causal relationships between the variables at the lowest time scales of one to three months. A causal relationship between unemployment rate and interest rate was observed during the period of two quarters to two years, during which time a feedback mechanism was also detected between unemployment and interest rate. Causal relationships between oil price and both interest rate and unemployment were observed at the longest time scale of eight quarters. In conjunction with Granger causality analysis, impulse response functions showed that unemployment rates in Norway respond negatively to oil price shocks around two years after the shocks occur. As an oil exporting country, increases (or decreases) in oil prices reduce (or increase) unemployment in Norway under a time horizon of about two years; previous studies focused on oil importing economies have generally found the inverse to be true. Unlike most studies in this field, we decomposed the implicit aggregation for all time scales by applying MRA with a focus on the Norwegian economy. Thus, one main contribution of this paper is that we unveil and systematically distinguish the nature of the time-scale dependent relationship between real oil price, real interest rate, and unemployment using wavelet decomposition.

ACS Style

Hyunjoo Kim Karlsson; Yushu Li; Ghazi Shukur. The Causal Nexus between Oil Prices, Interest Rates, and Unemployment in Norway Using Wavelet Methods. Sustainability 2018, 10, 2792 .

AMA Style

Hyunjoo Kim Karlsson, Yushu Li, Ghazi Shukur. The Causal Nexus between Oil Prices, Interest Rates, and Unemployment in Norway Using Wavelet Methods. Sustainability. 2018; 10 (8):2792.

Chicago/Turabian Style

Hyunjoo Kim Karlsson; Yushu Li; Ghazi Shukur. 2018. "The Causal Nexus between Oil Prices, Interest Rates, and Unemployment in Norway Using Wavelet Methods." Sustainability 10, no. 8: 2792.