CPR_ABM_Chilean_sample
Description
Raw Experimental Data for “Strategic Heterogeneity and the Governance of Commons: Empirical Strategy Classification and Agent-Based Simulation”. This dataset contains the raw experimental data collected in a lab-in-the-field CPR experiment conducted with 85 small-scale benthic fishers in Chile. The data was used to classify individual strategies and calibrate an agent-based model (ABM) for the manuscript Strategic Heterogeneity and the Governance of Commons. Key variables include: ID: Unique observation identifier Regime: Experimental condition (Open Access or Regulated) Cove: Location/fishing community Round: Game round (1 to 20) Subject.x: Subject ID Extraction: Individual extraction level Session.x: Session ID Performance.x: Typer of user group (High-performance, Low-performance, Non-unonized) Norm_compliance: Normalized compliance of subject i in round t comp_j: Average compliance of peers (j ≠ i) in round t−1 A1res, A2res, B1res, B2res: Parameters from constrained least squares estimation of linear conditional contribution profiles A1resstderr, …, B2resstderr: Associated standard errors sigma_residual: Residual standard error from individual regressions Strategy_open_access, Strategy_regulated: Assigned strategy type under each condition (UC, CC, NC, FR) The dataset serves as the empirical foundation for classifying behavioral strategies and simulating group-level outcomes under varying strategic compositions using an ABM framework.
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Funders
- Agencia Nacional de Investigación y DesarrolloSantiago Metropolitan, ChileGrant ID: 1230489 “Multi-level collective action in small scale fisheries and the sustainability of common-pool resources”