2018
DOI: 10.1177/2158244018769369
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Monetary Policy Transmission and Industrial Sector Growth: Empirical Evidence From Nigeria

Abstract: The goal of this study is to assess the industry effects of monetary policy transmission channels in Nigeria within the period 1981-2014. Techniques of analysis employed in the study are the Johansen cointegration and the error correction model (ECM). Our regression estimates reveal that the private sector credit, interest rate, and exchange rate channels have negative effects on real output growth, both in the long run and in the short run. The results further show that, relatively, the degrees of the establi… Show more

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Cited by 20 publications
(12 citation statements)
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References 23 publications
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“…While Inflation has a positive sign but insignificance, interest rate on the other hand has negative effect on economic growth during the review period. Ezeaku et al (2018) assess the effects of monetary policy transmission channels on industrial growth in Nigeria within the period 1981-2014. The study adopted Johansen cointegration and the error correction model (ECM).…”
Section: Literature Reviewmentioning
confidence: 99%
“…While Inflation has a positive sign but insignificance, interest rate on the other hand has negative effect on economic growth during the review period. Ezeaku et al (2018) assess the effects of monetary policy transmission channels on industrial growth in Nigeria within the period 1981-2014. The study adopted Johansen cointegration and the error correction model (ECM).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ezeaku, Ibe and Ugwuanyi [12] assessed the industry effects of monetary policy transmission channels in Nigeria within the period 1981-2014. Techniques of analysis employed in the study are the Johansen cointegration and the error correction model (ECM).…”
Section: Empirical Reviewmentioning
confidence: 99%
“…To estimate the macroeconomic policy model for Industrial Sector Growth, the ARDL model is being broadly used in monetary policy channels to find the short run and long run relationships of variables. Here, we have used five variables similar to the model used by Waliullah et al (2010), Dingela and Khobai (2017) and Ezeaku et al (2018). The simple linear regression equations for industrial sector as follows:…”
Section: Theoretical Modelmentioning
confidence: 99%