Downloads provided by UsageCounts
Using data for the annual period series from 1980 to 2015, this article explores the impact of the Bank of Ghana's monetary policy and whether it has a major impact on Ghana's economic growth. The study used the Ordinary Least Square (OLS) retrieval line model, and the retrospective analysis was done using the SPSS statistical software with F-Statistic and T Statistic. GDP was a model-dependent variable in this study, while income, interest rate, and inflation were independent / descriptive variables. The findings showed that at 5% significant level, both interest rates and income were statistically insignificant, whiles inflation was statistically significant at 5% level, in that, a 1% increase in inflation resulted in a 6.9% drop in GDP. The impact of inflation on GDP has been negative. Fisher (1993), Ghosh and Philips (1998), and Neil (1999) are examples of similar verified investigations (2000). The corrected R2 value of 0.365 clearly reveals that the Bank of Ghana's overall banking policy contributed roughly 36.5 percent to economic growth, whereas other unnamed factors accounted for a large difference in GDP of 65.5 percent. As a result, my policy advice is that the Ghanaian central bank employ suitable monetary policy tools to better control inflation and decrease it to a single digit, as well as pay attention to details in other real economic sector indicators to raise the rate of growth. Information on the Bank of Ghana's (BOG) overall financial strategy on policies that contribute to economic stability, Same should be made available to the Ministry of Finance and Economic Planning (MOFEP) and industry stakeholders.
GDP, Inflation, Interest Rate, Monetary Policy, income
GDP, Inflation, Interest Rate, Monetary Policy, income
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 | |
| downloads | 13 |

Views provided by UsageCounts
Downloads provided by UsageCounts