Impact of Currency Redenomination on an Economy: An Evidence of Ghana
Bibliographic record
Abstract
The main objective of this study is to ascertain the impact of currency redenomination on the Ghanaian economy. Since independence in 1957, Ghana has had series of redenomination exercises but the recent one which became a debatable topic happened in 2007. As a result, the study is conducted to determine the pre and post-performance of the country using 2007 as the benchmark. This research takes into consideration the quantitative research technique based on ex-post factor design. Secondary data of the research variables (GDP, Economic growth, Balance of trade, inflation, FDI and Globalization index) were used over a 20-year period between 1997 and 2017. Analytical techniques of both descriptive statistics and independent sample test were used for the research. The t-test for equality of means adopted was to determine the statistically significant difference on the economic variables. The study also used the Levene’s test of equality of variance assumed. It was concluded that, currency redenomination is beneficial to an economy’s growth. It was therefore recommended that, the government of Ghana initiates policies that will boost local production to support the exercise so as to increase GDP and other associated economic variables.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".