The Deteriorating Economic Welfare of Immigrants and Possible Causes: Update 2005
Bibliographic record
Abstract
This paper reviews the increase in the earnings gap between immigrants and Canadian-born over the past two decades, and the current explanations of this labour market deterioration among recent immigrants in particular. The paper also outlines the rising gap in low-income rates between immigrants and non-immigrants. Like previous research, the paper concludes that the earnings gap at entry has increased for immigrants entering Canada during the 1990s, as compared to those of the 1970s. Furthermore, the gap in the low-income rate has been increasing. The rate of low income has been rising among immigrants (particularly recent immigrants) during the 1990s, while falling among the Canadian-born. The rise in low-income rates among immigrants was widespread, affecting immigrants in all education groups, age groups, and from most source countries (except the "traditional source regions"). Immigrants with university degrees were not excluded from this rise in low-income rates, in spite of the discussion regarding the rising demand for more highly-skilled workers in Canada. As a result of both rising low-income rates among immigrants, and their increasing share of the population, in Canada's major cities virtually all of the increase in the city low-income rates during the 1990s was concentrated among the immigrant population. Also reviewed here are the explanations discussed in the literature for the deterioration of immigrant economic outcomes. Three major sources are identified as being empirically important, all of which follow from declining labour market outcomes. First, the change in the characteristics of immigrants (e.g., from different source regions, rising levels of educational attainment, etc.) appears to have accounted for about one-third of the increase in the earnings gap at entry (i.e., the gap between immigrants and comparable Canadian-born). Second, decreasing economic returns to foreign work experience appears to play an equally large role. Third, there has been a general decline in the labour market outcomes of all new entrants to the Canadian labour market, and when new immigrants arrive in Canada they, regardless of age, appear to face a similar phenomenon. Other possible explanations are also discussed. Importantly, one potential factor that does not appear to be behind the decline is a reduction in the economic return to education. Immigrants, on average, do have a somewhat lower return to education obtained prior to immigrating (although not to education obtained once in Canada), but this has not changed much over the past two decades.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".