DATA AND AI ARE CHANGING THE WAY ORGANIZATIONS THINK, DECIDE, AND ORGANIZE. IT’S TIME HUMANITIES, MANAGEMENT AND SOCIAL SCIENCES GET INVOLVED.
Metalab

NEWS

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

EVENTS

RESEARCH

INVESTMENT IN QUALITY UPGRADE AND REGULATION OF THE INTERNET

[ARTICLE] This paper examines investment decisions by a monopolistic ISP under various regulatory scenarios, finding that unregulated ISPs favor high-quality content providers with asymmetric upgrades, while nondiscrimination regulations reduce ISP investment and social welfare.

by Edmond Baranes (ESSEC Business School),  Cuong Hung Vuong

This paper studies the investment decision by a monopolistic internet service provider (ISP) in different regulatory environments. We consider that the ISP can technically provide separate quality upgrades to two vertically differentiated content providers (CPs). Our results show that if unregulated, the ISP could optimally provide asymmetric quality upgrades to both CPs, in favor of the high-quality CP. This subsequently increases the degree of content differentiation, softening competition between the CPs. Imposing a nondiscrimination regulation that forces the ISP to provide an equal quality upgrade to both CPs, however, reduce the ISP’s investment incentive and social welfare. Furthermore, the social planner provides preferential treatment to the high-quality CP if the degree of substitutability is sufficiently low. In contrast, it is socially optimal to prioritize the low-quality CP if the contents are sufficient substitutes, or provide exclusivity if vertical differentiation is high.

[Please read the research paper here]

Research list
MULTIVARIATE VOLATILITY FORECASTS FOR STOCK MARKET INDICES

MULTIVARIATE VOLATILITY FORECASTS FOR STOCK MARKET INDICES

[ARTICLE] This study forecasts realized variance for major international stock market indices, incorporating jump, continuous, and option-implied variance components, using ...
DYNAMICS OF VARIANCE RISK PREMIA: A NEW MODEL FOR DISENTANGLING THE PRICE OF RISK

DYNAMICS OF VARIANCE RISK PREMIA: A NEW MODEL FOR DISENTANGLING THE PRICE OF RISK

[ARTICLE] This paper presents a dynamic model for the variance risk premium that separates the continuous component from jump impacts, ...
MINIMUM COST NETWORK DESIGN IN STRATEGIC ALLIANCES

MINIMUM COST NETWORK DESIGN IN STRATEGIC ALLIANCES

[ARTICLE] This paper investigates the impact of transaction costs on the viability of strategic alliances in service network design, highlighting ...
FROM DATA TO CAUSES II: COMPARING APPROACHES TO PANEL DATA ANALYSIS

FROM DATA TO CAUSES II: COMPARING APPROACHES TO PANEL DATA ANALYSIS

[ARTICLE] This article compares various panel data methods, highlighting the benefits of the general cross-lagged model (GCLM) over static models ...
Founded in 2020 by ESSEC Business School, The Metalab Institute for Artificial Intelligence, Data and Society helps organizations navigate and better understand the social, economic, cultural, and ethical impacts of AI and data

metalab@essec.edu

Learn more about the Metalab Institute

copyright © 2026 metalab Institute

arrow-right
Résumé de la politique de confidentialité

Ce site utilise des cookies afin que nous puissions vous fournir la meilleure expérience utilisateur possible. Les informations sur les cookies sont stockées dans votre navigateur et remplissent des fonctions telles que vous reconnaître lorsque vous revenez sur notre site Web et aider notre équipe à comprendre les sections du site que vous trouvez les plus intéressantes et utiles.