Determinants of National Saving in Four West African Countries
Bibliographic record
Abstract
Saving is one of the preeminent integral of economic growth. The desideratum of this study is to investigate the determinants of national saving in four West African countries, namely, Ghana, Togo, Burkina Faso, and Cote d’ Ivoire. The study uses annual data from the World Bank database for the period 1997-2016. The Augmented Dickey-Fuller (ADF) test, Cumulative sum of residuals (CUSUM) test, and autoregressive distributed lag (ARDL) bounds test were used to examine the stationarity, stability, and cointegration of the variables respectively. ARDF model analysis was carried out to determine the short run and long run determinants of national saving in the studied countries. The long run results reveal that gross domestic product, per capita income and real interest rate has a statistically and significant positive effect on gross savings, were as age dependency ratio has a statistical, and insignificant negative relationship with gross saving. The short run results suggest that gross domestic product and per capita income possesses positive statistical significant effects on gross national savings.It is recommended that, in other to promote saving, growth and development, pragmatic and realistic economic policies should be formulated to strengthen all monetary and financial institutions in the respective countries.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".