Financial Market Participation of Immigrants and Their Intentions to Emigrate From the United States of America
Bibliographic record
Abstract
In this study, we empirically examine the relationship between U.S. immigrants’ intentions to emigrate from the U.S. and their financial market participation. Researchers have explored several determinants of immigrants’ financial market participation, namely the characteristics of the immigrants and their country of origin. However, one determinant that has not been explored, due to lack of data, is immigrants’ intentions to emigrate from the host country. Using data from the New Immigrant Survey, we find that immigrants with intentions to emigrate from the U.S. are more likely to participate in the financial markets relative to their counterparts with no such intentions. The results also indicate that married immigrants with intentions to emigrate from the U.S. are less likely to own a checking or savings account than immigrants who are not married. In addition, immigrants with the intent to emigrate from the U.S. are more likely to purchase stocks, corporate bonds, or both as they get older.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".