Reducing poverty and social exclusion in Europe: estimating the marginal effect of income on material deprivation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Advances in measuring poverty in non-monetary terms enable governments to track social progress on ends, the things that societies value doing and being. Using a national-level regression-based empirical strategy, this research demonstrates the magnitude of previously unmeasured policy effects on material deprivation, a non-monetary indicator of poverty. We apply this methodology to a comparative microdata set covering 32 European countries and estimate the average marginal effect of a small universal income increase on material deprivation. We illustrate the impact of the income transfer from various policy angles commonly used when analyzing the poverty reduction effects of social transfers. We show how impacts vary with characteristics such as country and household deprivation levels and the type of social transfers received. The methodology enables an analysis of the redistributive impact of social transfers on non-monetary social outcomes and is also suitable for other non-monetary social outcomes such as housing deprivation and food insecurity.
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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 | 0.005 | 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) | 0.000 | 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 it