Do Workers’ Remittances Promote Financial Development in Sub-Sahara Africa Countries?
Bibliographic record
Abstract
This study examines the impact of workers’ remittances on financial development in 32 Sub-Sahara Africa countries. In this paper we employ dynamic panel GMM model to study the potential effect of remittances on financial development with emphasis on financial intermediation. While the study depends on credit to private sector as a measure of financial development, past level of financial development, inflation, globalisation, FDI, size of government economic growth and worker remittances were controlled for. Employing data from 1996 -2010, the study discovers that workers’ remittances affect financial development in a positive and significant way. This positive relationship suggests that remittances complements financial intermediation in SSA countries as exemplified by "endogenous growth" literature and the canonical intermediating model with the insights that remittances savings behaviour will generally influence equilibrium financial growth rates.
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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 | 0.008 | 0.009 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".