Incentives and Anonymity Principle: Crowding Out Toward Users
In our model, an agent produces an outcome by a costly effort and then distributes it among heterogeneous users. The agentâ€™s payoff is the weighted sum of the usersâ€™ shares and the coefficient reflecting their heterogeneity. When the agent neglects usersâ€™ heterogeneity the game leads to an anonymous allocation. Otherwise, the equilibrium distribution is non- egalitarian but more efficient. Low performing agents reduce inequality among users by delivering an egalitarian service, while intermediate or high performing agents tend to prefer (but not always) delivering an unequal service, thereby breaking the anonymity principle. Incentives do matter regarding the crowding effect toward users.
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