The Altruistic Motive of Remittances: A Panel Data Analysis of Economies in Sub Saharan Africa
Bibliographic record
Abstract
Remittances have become an important source of foreign exchange earnings in many countries as migrants continue to send income to relatives at home. However, the main motives for sending remittances remain controversial. This paper examines the relative importance of the socio-political and economic determinants of remittance inflow using an unbalance panel data of 36 economies in the Sub Saharan African Region in an attempt to assess the altruistic motive of remittance inflow. The results using a random effect estimation technique show that altruism is important for remitting, as the per capita income differential between host and home country and the age dependency ratio are positive and statistically significant. The level of per capita income of the home country is also found to be negative and statistically significant which also supports the altruistic motive of remittances. The results further suggest that the development of the financial sector and the proportion of Catholics in the population will encourage remittance inflow. These results are robust to the different specifications and estimation methodology.
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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".