CPR_ABM_Chilean_sample

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.

《战略异质性与公地治理：实证策略分类与基于智能体的模拟》原始实验数据。本数据集包含针对智利85名小型底栖渔民开展的实地实验室公共池塘资源（Common Pool Resource, CPR）实验所采集的原始实验数据，相关数据被用于为《战略异质性与公地治理》一文的个体策略分类与基于智能体模型（Agent-Based Model, ABM）校准工作提供支撑。核心变量包括：ID：唯一观测标识符；Regime：实验处理条件（开放准入或受规制）；Cove：捕捞海域/渔业社区；Round：博弈轮次（1至20）；Subject.x：被试编号；Extraction：个体资源提取量；Session.x：实验场次编号；Performance.x：用户群体类型（高绩效、低绩效、非工会化）；Norm_compliance：t轮次中被试i的标准化遵从度；comp_j：t-1轮次中同伴（j≠i）的平均遵从度；A1res、A2res、B1res、B2res：线性条件贡献轮廓的约束最小二乘估计参数；A1resstderr、……、B2resstderr：对应的标准误；sigma_residual：个体回归的残差标准误；Strategy_open_access、Strategy_regulated：两种实验条件下分配的策略类型（UC、CC、NC、FR）。本数据集为基于智能体模型框架开展行为策略分类、并模拟不同战略构成下的群体层面结果提供了实证基础。