Impacts of Absolute and Relative Income on Self-Rated Health in Urban and Rural China
Bibliographic record
Abstract
This study aims to assess the impacts of absolute and relative income on self-rated health (SRH) of residents in rural and urban China. Data were derived from the China Health and Nutrition Survey. Three distinct measures of relative income were considered (Gini coefficient, Yitzhaki index, and Deaton index) and computed for 3 geographic units (nation, province, and community). Nonlinear dynamic models for panel data were employed to test the absolute and relative income hypotheses. Absolute income was significantly associated with SRH among urban and rural populations. Relative income, as measured by the Gini coefficient, the Yitzhaki index, and the Deaton index, had statistically significant and negative impacts on SRH among the rural population, regardless of the reference group. For the urban population, the Gini coefficient was associated with SRH regardless of the reference group. In contrast, only the Yitzhaki index and the Deaton index at the provincial level were associated with SRH among the urban population. Our findings may provide a reference for policymakers to implement health policies designed to improve population health.
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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 | 0.001 | 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 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".