Inequality-aware Market Design
This project develops Inequality-aware Market Design (IMD) to optimize marketplace structures that balance allocative efficiency with redistributive goals in the presence of participant inequalities.
Projectdetails
Introduction
Policymakers often introduce rules constraining transactions in individual markets—such as rent control—or even choose to distribute scarce resources by circumventing markets completely, as is frequently the case for health care or transit. Yet, traditional economic intuition opposes these sorts of policies because—unlike well-functioning markets—they introduce allocative inefficiency.
Project Overview
In this project, I will explore the optimal design of marketplaces in the presence of underlying inequalities between participants, developing a theory of Inequality-aware Market Design (IMD). My approach is to deploy a mechanism-design framework that identifies the optimal way to structure the market.
Framework Details
In the baseline framework, the designer maximizes a welfare function whose welfare weights reflect her redistributive preferences induced by the inequalities between participants. Market participants may have private information both about their willingness to trade and their welfare weights.
Research Focus
Research will focus on testing the validity and scope of the main hypothesis:
- When inequalities are sufficiently pronounced and can be detected based on agents’ behavior in the market,
- It becomes optimal to sacrifice allocative efficiency to achieve a more desirable split of surplus.
For example, optimal market designs may involve inefficient rationing.
Contribution to Market Design
Inequality-aware Market Design provides a novel way to address the growing problem of inequality in market-design settings. The redistributive objective distinguishes this theory from the traditional mechanism-design literature that has focused predominantly on efficiency and revenue as design goals.
Complementary Approaches
The focus on optimal allocation rules in a single marketplace complements the public-finance approach to redistribution through the tax system. IMD provides policy guidance by explaining whether and how policymakers concerned about inequality should resort to distortionary market interventions.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.191.561 |
Totale projectbegroting | € 1.191.561 |
Tijdlijn
Startdatum | 1-7-2022 |
Einddatum | 30-6-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- FUNDACJA ADEPTOW I MILOSNIKOW EKONOMIIpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Market Design and Participation: Comprehensive Design for Matching Markets
The MADPART project aims to enhance assignment markets by analyzing the impact of outside options on participation and developing innovative designs using advanced theoretical and empirical methods.
Semi-Structural Econometric Methods for the Analysis of Inequality
This project aims to critically evaluate existing statistical tools for measuring inequality and develop new methods to provide robust structural interpretations, enhancing policy insights for reducing inequality.
Fair Competition in App Markets
This project aims to empirically assess effective public policy interventions against self-preferencing in app markets to enhance innovation incentives for developers.
Network Fairness: A novel complex network approach for tackling inequalities in society and algorithms
The project aims to develop a network fairness framework and software to systematically detect, forecast, and mitigate social inequalities driven by complex interactions and algorithms.
Algorithmic Contract Design
This project aims to establish algorithmic contract design (ACD) to create robust, personalized incentive schemes that enhance strategic actions and improve social efficiency in various economic applications.