Sanket Patil
Assistant Professor
Economics, IIM Bangalore
Email: sanket.patil@iimb.ac.in
Research interests
Microeconomic theory
Economics, IIM Bangalore
Email: sanket.patil@iimb.ac.in
Research interests
Microeconomic theory
Publications
Undominated Monopoly Regulation, with Debasis Mishra, Journal of Economic Theory, (2025): 106049
Abstract: We study undominated mechanisms with transfers for regulating a monopolist who privately observes the marginal cost of production. A mechanism is undominated if no other mechanism gives the regulator a strictly higher payoff at some marginal cost of the monopolist without lowering the regulator’s payoff at other costs. We show that an undominated mechanism has a quantity floor: whenever the monopolist is allowed to operate, it produces above a threshold quantity. Moreover, the regulator's operation decision is stochastic only if the monopolist produces at the quantity floor. We provide a near-complete characterization of the set of undominated mechanisms and use it to (a) derive a max-min optimal regulatory mechanism, (b) provide a foundation for deterministic mechanisms, and (c) show that the efficient mechanism is dominated.
Optimal Sample Sizes and Statistical Decision Rules, with Yuval Salant, Theoretical Economics, 19 (2024), No. 2, 583–604
Abstract: A statistical decision rule is a mapping from data to actions induced by statistical inference on the data. We characterize these rules for data that are chosen strategically in persuasion environments. A designer wishes to persuade a decision maker (DM) to take a particular action and decides how many Bernoulli experiments about a parameter of interest the DM can obtain. After obtaining these data and estimating the parameter value, the DM chooses to take the action if the estimated value exceeds some threshold. We establish that as the threshold changes, the resulting statistical decision rules in many environments are either simple majority or reverse unanimity.
Working Papers
Robust Procurement Design, with Debasis Mishra and Alessandro Pavan, Accepted for presentation at EC'25 conference
Abstract: We study procurement design when the buyer is uncertain about both the value of the good and the seller's cost. The buyer has a conjectured model but does not fully trust it. She first identifies mechanisms that maximize her worst-case payoff over a set of plausible models, and then selects one from this set that maximizes her expected payoff under the conjectured model. Robustness leads the buyer to increase procurement from the least efficient sellers and reduce it from those with intermediate costs. We also study monopoly regulation and identify conditions under which quantity regulation outperforms price regulation.
Strategic Justifications (Being Updated...)