The Adoption of Computational Antitrust by Agencies : 2021 Report
| Year of publication: |
2022
|
|---|---|
| Authors: | Schrepel, Thibault ; Groza, Teodora |
| Publisher: |
[S.l.] : SSRN |
| Subject: | Kartellrecht | Antitrust law | Wettbewerbspolitik | Competition policy | Computerunterstützung | Computerized method |
| Extent: | 1 Online-Ressource (39 p) |
|---|---|
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | In: 2 Stanford Computational Antitrust, 78 (2022) Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 21, 2022 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/10014081929