The Adoption of Computational Antitrust by Agencies : 2nd Annual Report

In the first quarter of 2023, the Stanford Computational Antitrust project team invited the partnering antitrust agencies to share their advances in implementing computational tools. Here are the 26 contributions we received

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Year of publication:	[2023]
Authors:	Schrepel, Thibault ; Groza, Teodora
Publisher:	[S.l.] : SSRN

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Extent:	1 Online-Ressource (103 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: 3 Stanford Computational Antitrust 55 (2023) Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 15, 2023 erstellt
Classification:	K21 - Antitrust Law ; D40 - Market Structure and Pricing. General ; D21 - Firm Behavior ; E30 - Prices, Business Fluctuations, and Cycles. General ; E37 - Forecasting and Simulation ; K23 - Regulated Industries and Administrative Law ; L10 - Market Structure, Firm Strategy, and Market Performance. General ; L40 - Antitrust Policy. General ; L21 - Business Objectives of the Firm ; L43 - Legal Monopolies and Regulation or Deregulation ; L44 - Antitrust Policy and Public Enterprise Nonprofit Institutions, and Professional Organizations ; L50 - Regulation and Industrial Policy. General
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014349987