Data and Replication Materials for "Dual Benefit Framework: Aligning Individual and Collective Incentives in Institutional Design"

This repository contains the complete data, code, and documentation for research on the Dual Benefit Framework (DBF) - an institutional design approach that aligns individual incentives with collective goals through four key components: visibility, alignment, excludability, and certainty. The study compares performance outcomes between institutions implementing DBF design principles and conventional institutional arrangements using a matched-pairs design across 30 institutional pairs from 14 countries over the period 2015-2021. Key empirical findings include:- Member satisfaction: DBF institutions 8.32 vs conventional 6.52 (p < 0.001, Cohen's d = 2.373)- Financial sustainability: 89.7% vs 76.4% - Annual retention rates: 92% vs 78% The repository includes:- Raw and processed datasets (158,763 observations) with complete codebooks- Literature database containing 200+ systematically reviewed papers- Evidence supporting statistical claims and case study analysis- Complete R replication code with robustness checks- Research instruments and protocols for DBF assessment- Documentation for research replication and extension All materials are organized across six categories following research data management best practices. The replication package enables independent verification of findings and application of the DBF framework to new institutional contexts. Data collection employed mixed methods including member surveys, financial performance analysis, and detailed case studies of Alpine farmer cooperatives, Israeli kibbutzim, and Mondragon Corporation cooperatives.