Macroeconomic determinants of Emigration from Kenya
Why this work is in the frame
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Bibliographic record
Abstract
The study examined the economic determinants of migration from Kenya to USA, Canada, Australia, Germany and United Kingdom by applying a unilateral migration gravity model during the period 2000-2015.The study applied the Least Square Dummy Variable specification technique to estimate the gravity model. The pull factors from Kenya were high inflation, exchange rate appreciation, high population and a rise in Kenyan GDP per capita.In considering the relative attractiveness of the destination countries in increasing order the finding showed Australia, Canada, UK and Germany were the prominent migration destinations. When emigration was considered overtime there was generally a positive trend except for 2007.Finallythe findings showed that if all the macroeconomic factors were held constant there will be a significant decline in migration from Kenya thus we conclude that besides other factors influencing migration, economic factors play a key role too.
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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) | 0.000 | 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) | 0.003 | 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 it