Replication Data and Code for Predicting Cooperative Survival: A First Empirical Test of the Trinity Law (S = T × C × DB) in Community-Based Health Insurance

This repository contains all data and replication code for the paper "Predicting Cooperative Survival: A First Empirical Test of the Trinity Law (S = T × C × DB) in Community-Based Health Insurance," submitted to Annals of Public and Cooperative Economics. The Trinity Law states that the sustainability of voluntary cooperative institutions is the product of three conditions — trust (T), consensus (C), and dual benefit (DB) — implying non-compensability: if any factor is zero, sustainability is zero regardless of the others. This paper reports the first empirical test of the law against field data in any cooperative domain, using community-based health insurance (CBHI) as the test bed. The repository contains 22 data files from two independent studies spanning two countries (India and Nepal) and nine sites: Pillar 1 (EU FP7 Grant 261007, 2009–2013): 9,201 household records, 141 Self-Help Group enrollment records, 96 CHAT deliberation process records, and village-level trust data from three Indian sites and two Nepali districts. Pillar 2 (ECCP baseline, 2005–2006): 4,931 household records from seven Indian sites in four states, temporally and methodologically independent of Pillar 1. A single call to REPLICATE_ALL.R reproduces all computational results reported in the paper and its Statistical Appendix. The replication script runs 49 numerical checks; all pass. No synthetic or fabricated data are present in this repository. All files trace to authenticated field-collected household surveys.