Does non‐profit health insurance reduce financial burden? Evidence from the Vietnam living standards survey panel
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
Many low-income countries are implementing non-profit medical insurance to increase access to health services, especially among low-income households, and to raise additional revenue for financing public health services. This paper estimates the effect of insurance on out-of-pocket health expenditures using the Vietnam Living Standards Surveys for 1993 and 1998 and appropriate models for panel data. Our findings suggest that health insurance reduces health expenditure when unobserved heterogeneity is accounted for. Failure to capture unobserved heterogeneity produces contrary results that are consistent with previous cross-sectional studies in the literature. Health insurance is found to reduce out-of-pocket expenditure between 16 and 18% and the reduction in expenditure is more pronounced for individuals with lower incomes. At mean income, the effect of health insurance is to reduce health expenditures between 28 and 35%.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it