On the Global Determinants of Visiting Home
Bibliographic record
Abstract
In this paper, we examine possible macro-level determinants underlying the number of trips emigrants make back home by exploiting a panel of data comprising 25 countries over the period 1995–2010. To guide the empirical work, we first construct a simple model of the decision by emigrants to visit their home country. The model predicts, among other things, that the effects of distance on the frequency of visiting home are negative but the impact of the host country's wage on the decision to visit home is ambiguous: It depends on the legal status of the emigrants in the host country. Our empirical results based on a pooled estimator support these predictions. First, the number of trips back home is inversely related to distance but positively related to income and institutional quality. Second, emigrants living in Africa and North America are less likely to visit home, whereas emigrants living in the Arabian Gulf countries visit home more often. The results from cross-sectional estimations provide very similar results, indicating that our results are robust to alternative estimation approaches. Copyright © 2016 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".