Data for: Towards a Dynamic Microeconomic Model of Corruption: A Probabilistic, Behavioral Simulation Approach

This paper presents a novel microeconomic model of corruption grounded in probabilistic decision theory, behavioral incentives, and simulation-based systems analysis. By starting from first principles, the model rigorously explores how individual agents weigh gains against probabilistically enforced penalties. We demonstrate, via Monte Carlo simulation, how even minor shifts in the parameters, such as detection probability, yield large systemic changes. The results reinforce foundational insights from behavioral economics while offering a dynamic framework for future incorporation of complex institutional variables. All mathematical derivations are provided step-by-step for replication and scalability.