Data and Replication Materials for "From Proxies to Parameters: Measuring the Behavioural Prerequisites of Cooperative Institutions"
Abstract
Description This repository accompanies the manuscript "From Proxies to Parameters: Measuring the Behavioural Conditions for Cooperative Institutional Performance across 91 Economies", submitted to Economic Systems. The paper proposes a shift from structural proxies to behavioural parameters in institutional analysis, operationalising three conditions for cooperative institutional success: Trust, Consensus, and Dual Benefit. Health financing (out-of-pocket expenditure) serves as the proof-of-concept domain because it provides standardised cross-national outcome data; the behavioural parameters are theorised to govern cooperative institutional performance across domains. The repository contains: (1) raw source data from the World Values Survey, Afrobarometer, Asian Barometer, Latinobarómetro, World Bank WGI, WHO GHED, and other public sources, enabling replicators to trace every variable to its origin; (2) the constructed analysis-ready dataset of 91 countries with 36 variables (2021 reference year); (3) complete R replication code reproducing all tables, figures, and robustness checks; and (4) full documentation including a codebook and data construction notes. Related identifiers:Is supplemented by: 10.5281/zenodo.17008749 (Phase Transitions in Collective Trust)Is supplemented by: 10.5281/zenodo.16885917 (Global Consensus Database)Is supplemented by: 10.5281/zenodo.16921864 (Dual Benefit Framework data)Is supplemented by: 10.5281/zenodo.16997369 (S=TxCxDB Framework)Is supplemented by: 10.5281/zenodo.16628426 (Trust as a Health System Resource)Is supplemented by: 10.5281/zenodo.17882542 (Community-Level Trust Threshold Validation)
Fields of Study & Subjects
Culture
Economy
and Development Studies
Economic Theory and Institutions
Corruption and Economic Development
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Dataset