Unité mixte de recherche 7235

Fight Cartels or Control Mergers? On the Optimal Allocation of Enforcement Efforts within Competition Policy

Andreea Cosnita-Langlais, Jean-Philippe Tropeano

[en]This paper deals with the optimal enforcement of the competition law between the merger and anti-cartel policies. We examine the interaction of these two branches of the competition policy given the budget constraint of the competition agency and taking into account the ensuing incentives for firms’ behavior in terms of choice between cartels and mergers. We are thus able to conclude on the optimal competition policy mix. We show for instance that to the extent that a tougher anti-cartel action triggers more mergers taking place, the public agency will optimally invest only in control fighting for a tight budget, and then in both instruments as soon as the budget is no longer tight. However, if the merger’s coordinated effect is taken into account, then when resources are scarce the agency may optimally have to spend first on controlling mergers before incurring the cost of fighting cartels.[/en]

AGENDA

mardi 17 mai 2022

Rencontres économiques

9h30 à 11h30

Comment se débarrasser des énergies fossiles et développer les énergies renouvelables dans un monde en crise ?

jeudi 19 mai 2022

Lunch

Christophe Blot

Are all central bank asset purchases the same?

lundi 23 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Clara Jean (Grenoble Ecole de Management)

The Value of Your Data: Privacy and Personal Data Exchange Networks

mardi 24 mai 2022

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Alice Sindzingre (CEPN) et Fabrice Tricou

De 13h30 à 15h30

Six forms of hierarchy for a theoretical analysis of capitalism

lundi 30 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Antoine Dubus (ETH Zurich)

Salle G110

Data Driven Mergers and Acquisitions with Information Synergies

mardi 31 mai 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Juan Pablo Montero (PUC)

TBA

jeudi 9 juin 2022

Lunch

Rémi Generoso

TBA

jeudi 9 juin 2022

Groupe de travail « Intelligence artificielle »

Hugo Le Picard (IFRI)

Salle G614B

Le deep learning au service de l’analyse des énergies renouvelables en Afrique

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