Replication Data for: What Do Microinsurance and Medicare Have in Common? The Dual Benefit Principle in Health Insurance
Abstract
This repository accompanies the manuscript "What Do Microinsurance and Medicare Have in Common? The Dual Benefit Principle in Health Insurance," revised and resubmitted to Social Science & Medicine following major-revision peer review (February 2026). The paper tests the Dual Benefit Principle (DBP) — which posits that sustainable collective institutions require participants to perceive both social benefits ("good for us") and private benefits ("good for me") — in the domain of national health financing. Using pooled International Social Survey Programme (ISSP) Health data from 2011 (ZA5800) and 2021 (ZA8000), the study examines whether three belief patterns (zero-sum thinking, perceived free-riding, and contested deservingness) predict public confidence in health systems across 21 countries (N = 70,027). Version 2 changes (responding to peer review): Education variable corrected: years of full-time schooling (EDUCYRS) replaces the incompatible DEGREE/ISCED scales, which were pooled in v1. A robustness check with a harmonized categorical measure (DEGREE/EDULEVEL) confirms substantively identical results. Three new supplementary analyses were added: Table S9 (political orientation and social position controls), Table S10 (disaggregated accommodation dimensions), and Table S11 (self-rated health robustness check). New predictor variables added to the analysis dataset: subjective social position (TOPBOT), political orientation (PARTY_LR), and self-rated health. Additional output files include a correlation matrix, VIF diagnostics, effect sizes, and expanded robustness checks. All file paths converted to relative references for full portability. The repository contains: (1) raw ISSP source data extracts for the two waves; (2) the constructed analysis-ready pooled dataset of 70,027 respondents across 21 countries; (3) the complete R replication pipeline (master script plus six modular analysis scripts) reproducing all tables, figures, and robustness checks reported in the revised manuscript; and (4) full documentation including a README with table-to-file mapping and a codebook. Revised and resubmitted to Social Science & Medicine, February 2026 (major revision). After publication, this metadata will be updated with the article DOI. Version 2 incorporates revisions in response to peer review, including corrected educational measurement, additional robustness analyses, and expanded control variables.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 February 2026
- Language
- EN
- Document type
- Dataset