**Work****ing Papers**

**Work**

**ing Papers**

**Mechanism Design without Rational Expectations**

**Mechanism Design without Rational Expectations**

**Draft available upon request**

Non-equilibrium models of strategic interaction often offer sharply different predictions from equilibrium ones. In the context of mechanism design, does this mean that dropping the rational expectations assumption allows the social planner to fully implement a larger class of social choice functions? The answer to this question turns out to be mainly negative. This paper proposes a generalized model of full implementation that does not assume rational expectations and characterizes the class of solution concepts such that Bayesian Incentive Compatibility is necessary for implementation of social choice functions. Surprisingly, dropping the rational expectations assumption and moving to non-equilibrium models does not deliver significantly more permissive results for a large class of models of strategic behavior. A key implication of this finding is that some classical results (such as Myerson and Satterthwaite’s impossibility of efficient bilateral trade) hold for a wide range of non-equilibrium solution concepts, confirming their relevance even in bounded rationality setups.

**Paper presentations:*** Boston College Graduate Reading Group, 12th Conference on Economic Design, 16th SSCW Meeting, University of Bologna (Internal Seminar, 2022), SING17, 33rd Stony Brook International Conference, 1st NSEF Worskhop.*

**Work in Progress**

**Work in Progress**

**Mechanism Design under Outcome Constraints**

**Mechanism Design under Outcome Constraints**

In traditional mechanism design, it is assumed the planner has almost complete freedom in choosing the implementing mechanism. The paper generalizes the model by requiring the implementing mechanism to also satisfy some exogenously imposed constraints on the outcomes in each agent’s opportunity set. I discuss applications of this framework to mechanism design in network environments and to one-sided matching with priorities.

**Recommendations without Rational Expectations**

**Recommendations without Rational Expectations**

The revelation principle states that Bayesian Incentive Compatibility (BIC) characterizes the class of social choice functions that are partially implementable. This paper proves that BIC is still necessary for partial implementation as long as the solution concept satisfies a mild condition (Weak Response Consistency, WRC) and agents know which function the planner is trying to implement. These results imply that dropping the rational expectations assumption does not significantly enlarge the class of partially implementable social choice functions in these setups. Moreover, some classical results in the literature extend to a much broader class of solution concepts.