Revisiting Health and Income Inequality Relationship: Evidence from Developing Countries
Bibliographic record
Abstract
In general, countries with more equal distribution of income enjoy better health. Earlier empirical studies on the relationship between income distribution and health at country level present strong evidence that income inequality on an average impedes the improvement of population health. However, a majority of these empirical studies are based on data from either only developed countries or pooled data from developing and developed countries. They mainly study the relationship at a single point of time or at an average of several years. These studies also fail to take into account the country specific unobserved heterogeneity. Departing from the general trend of the current literature, this paper examines the health-income inequality hypothesis using panel data from 31 low income and low middle income countries for the period of 1982-2002. Application of fixed effects and random effects model to control for country specific heterogeneity in this study provides contradictory findings to the existing cross country studies. In other words, empirical results of this paper confirm that there is a positive relation between health and income distribution in this set of developing countries over the study period.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".