Consequential Effects of Budget Deficit on Economic Growth: Empirical Evidence from Ghana
Bibliographic record
Abstract
The study evaluates budget deficit sustainability of Ghana between 1960 and 2010 using the present value budget constraint approach. By applying annual time series data, the ADF and PP tests for unit root rejected the null hypothesis at 1 percent significance level after first difference. Hence, both government expenditure and revenue of Ghana are stationary and integrated of order one. The Granger causality test supported a bi-directional causation such that both expenditure and revenue of Ghana have temporal precedence over each other. This means past and present values of government revenue provide important information to forecast future values of expenditure. The test for cointegration favored the sustainability of budget deficit of Ghana at 10 percent significance level in the strong sense. In this case, government can continue to service its past accumulated deficits without large future correction to the balance of income and expenditure. Again, the study achieved the conventional negative sign of the speed of adjustment to long run equilibrium following shocks to the system at 5 percent significance level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".