Poverty and institutional regimes: A generalised budget approach in 11 countries
Bibliographic record
Abstract
The standard poverty lines applied in empirical research tend to be problematic in terms of validity, reliability, ease of application or socio-political credibility. This paper introduces an international version of an alternative method, which originally has been developed for the Netherlands. The approach starts from a detailed expert reference budget for a single person, which is subsequently generalised to other household types and over time. The empirical analyses try to assess whether Esping-Andersen's famous distinction between social-democratic, liberal and corporatist institutional regimes is related to actual differences in the 'production of poverty' in 11 countries, as measured by the generalised budget approach. Bivariate results from the Luxembourg Income Study indicate that liberal regimes (Australia, Canada, UK, USA) attain a substantially higher degree of poverty than representatives of the corporatist type (Belgium, Germany, France). Poverty in the latter group exceeds the level reached by exponents of the social-democratic regime (Denmark, Norway, Sweden) and the hybrid Dutch system. Multi-level analysis, however, shows that much of these differences have to be attributed to the characteristics of individuals, and to the divergent level of prosperity of these countries. The 'pure' effects of the regime type on poverty all run in the direction that was expected on theoretical grounds, but are rather modest. Only the difference between the high poverty rates in the liberal group and the lower incidences in other countries turned out to be statistically significant.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".