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Robust Econometrics of Games in IO

Project description

Improving industrial organisation games and their study

Industrial organisation (IO) scenarios and games provide vital training for businesses, while offering researchers and economists key insights into economic fundamentals. These insights aid policymakers in developing effective policies and help researchers understand the relationship between economics and policymaking, as well as their effects on modern market dynamics. The ERC-funded REGIO project will develop advanced econometric methods to identify and estimate economic fundamentals in these games and IO scenarios, overcoming previous techniques and assumptions to provide more robust empirical conclusions based on key data. These insights are important in order to improve consumer protection and ensure fair competition. The project will develop tools for identification, inference methods, and overcoming statistical challenges.

Objective

REGIO develops advanced econometric methods to identify and estimate economic fundamentals in games played by firms, addressing a broad spectrum of real-world industrial organization scenarios. These methods bridge critical gaps where existing techniques fall short and provide a disciplined framework to relax less credible assumptions about firm behavior and the game environment, enabling researchers to draw robust empirical conclusions. Their effectiveness is demonstrated through applications, supporting strategies to ensure fair competition, consumer protection, and a clearer understanding of distributional impacts and inequality.
To achieve these goals, REGIO is structured around four pillars. Pillars 1 through 3 focus on designing identification and inference methods that remain robust to misspecification by imposing minimal restrictions on firm behavior and the game environment. By crafting new tools based on partial identification, these pillars tackle theoretical challenges, such as addressing multiple equilibria and firms’ potentially limited awareness of their competitive landscapes, as well as statistical challenges. Pillar 4 pioneers the use of the novel methods to real-world scenarios, demonstrating their practical applicability and bolstering informed market interventions.
Through these pillars, REGIO not only advances econometric research but also significantly enhances the interface between economics and policymaking, improving our understanding of dynamics in modern markets.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2025-STG

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Host institution

QUEEN MARY UNIVERSITY OF LONDON
Net EU contribution
€ 1 477 651,00
Address
327 MILE END ROAD
E1 4NS LONDON
United Kingdom
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 1 477 651,00

Beneficiaries (1)