Research
Job Market Paper
Abstract: When voters underappreciate the equilibrium effects of policies, efficient reforms become politically infeasible. I develop a general framework of equilibrium neglect, and use this framework to construct a portable and generally applicable remedy. Using off-path contingent rebates, a social planner can generate a policy that (i) implements the social optimum, (ii) is budget balanced—on and off the equilibrium path—and (iii) is politically feasible even in the presence of equilibrium-neglecting voters. In a survey experiment on congestion pricing with a large probability sample from six US metros, I show that respondents are overly pessimistic about traffic-reduction effects of congestion pricing, which correlates with strong opposition to the policy. Adding contingent compensation that pays if traffic remains high significantly increases public support, especially among potential compensation recipients. Turning to the supply side of policymaking, I survey civil servants and US state legislators. Both groups recognize that contingent compensation increases public support, and legislators’ own support for congestion pricing increases; civil servants, however, show a preference for more conventional tools.
Published & Forthcoming
- Deferred Acceptance with News Utility, with Ofer Glicksohn, Ori Heffetz, and Assaf Romm.
Forthcoming, Management Science - Additive vs. Subtractive Earning in Shared Human-Robot Work Environments, with Ori Heffetz, Guy Hoffman, Guy Ishai, and Alap Kshirsagar. 2024. Journal of Economic Behavior & Organization,2024, 217: 692-704
- Expectations-Based Loss Aversion May Help Explain Seemingly Dominated Choices in Strategy-Proof Mechanisms,with Ori Heffetz and Matthew Rabin. 2022. American Economic Journal: Microeconomics, 14 (4): 515-55
- Monetary-Incentive Competition between Humans and Robots: Experimental Results, with Alap Kshirsagar, Guy Ishai, Ori Heffetz, and Guy Hoffman. 2019. Proc. of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI’19), IEEE, 95-103. [SSRN Version]
Working Papers
- Calibrated Coarsening in Human-AI Interaction: Theory and Experiments,with Ruru Hoong
- Human Learning About AI, with Raphael Raux. Extended abstract at EC ‘25
- On the Workings of Tribal Politics, with Assaf Patir and Moses Shayo