Bruno Carballa Smichowski

Joint Research Centre (European Commission)

Centre d’Economie de l’Université Paris Nord (CEPN) – UMR 7234 CNRS-Université Sorbonne, Paris 13.

France

SCHOLARLY PAPERS

4

DOWNLOADS

1,693

TOTAL CITATIONS

3

Scholarly Papers (4)

1.

Economic Power and New Business Models in Competition Law and Economics: Ontology and New Metrics

Number of pages: 46 Posted: 06 Apr 2021
Ioannis Lianos and Bruno Carballa Smichowski
University College London - Faculty of Laws and Joint Research Centre (European Commission)
Downloads 913 (52,576)
Citation 3

Abstract:

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economic power, market power, ecosystems, value chain, digital, dominant position, gatekeeper, power metrics

2.

"Market" Definition in Ecosystems

Journal of Antitrust Enforcement
Number of pages: 35 Posted: 06 Dec 2023 Last Revised: 02 Dec 2024
Konstantinos Stylianou and Bruno Carballa Smichowski
University of Glasgow and Joint Research Centre (European Commission)
Downloads 432 (136,063)

Abstract:

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business ecosystem, complementarities, platform, antitrust, system competition, clusters, clustering, snowball, network, factor analysis, factoring, market definition

3.

Economies of Scope in Data Aggregation: Evidence from Health Data

TILEC Discussion Paper No. 020, 2022
Number of pages: 32 Posted: 09 Feb 2023
Centerdata, Tilburg Law and Economics Center (TILEC), CentERdata, Joint Research Centre (European Commission), Joint Research Centre - European Commission, CentERdata and CentERdata
Downloads 190 (317,440)

Abstract:

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Economies of scope, Health, Data aggregation, Predictive modelling, Machine learning

4.

Data sharing or algorithm sharing?

NET Institute Working Paper No. 23-08
Number of pages: 33 Posted: 01 Dec 2023
Bruno Carballa Smichowski, Yassine Lefouili, Andrea Mantovani and Carlo Reggiani
Joint Research Centre (European Commission), University of Toulouse 1 - Toulouse School of Economics (TSE), University of Toulouse - Toulouse Business School and The University of Manchester
Downloads 158 (373,020)

Abstract:

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data sharing, algorithm sharing, data platforms, federated learning, data externalities