Has the potential for compensating poverty by womens employment growth been depleted
Bibliographic record
Abstract
Although employment growth is propagated as being crucial to reduce poverty across OECD countries, the actual impact of employment growth on poverty rates is still unclear. This study presents novel estimates of the impact of macro-level trends in female labour force participation on trends in poverty, across 15 OECD countries from 1971 to 2013. It does so based on over 2 million household-level observations from the LIS Database, using Blinder-Oaxaca decompositions. This method allows for disentangling the impact of increasing women's employment rates from other possible confounders driving poverty outcomes. The results indicate that an increase of 10 percentage points in the female labour force participation rate was associated with a reduction of 1 percentage point of poverty across these countries. The increase in women's employment has had a significant impact on poverty trends. However, in the Nordic countries no such poverty reducing effect was found, as in these countries womens employment rates were very high and stable throughout the observation period. In countries that initially showed marked increases in women's employment, such as the Netherlands, Germany, Spain, Canada, and the United States, the initial increases in women's employment rates were typically followed by a period in which these trends levelled. Hence, our findings suggest that the potential of following an employment strategy to reduce poverty in OECD countries has, to a large extent, been depleted.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".