The Agents Screening Model Based on Fairness Preference in Knowledge Networks

The article combines agents screening model with F-S unfairness aversion model to investigate the influence of fairness preference on agents´ competence screening contracts design in knowledge networks. We suggest that principal with fairness preference will cut down information rent to increase his utility. If efficient agents possess fairness preference, principal will increase the output of inefficient agents to raise information rent, but the information rent ultimately increases or decreases depending on the steep of principle´s utility function.