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Geza Sapi

Personal Details

First Name:Geza
Middle Name:
Last Name:Sapi
Suffix:
RePEc Short-ID:psa698
http://www.dice.hhu.de/diceteam/research-affiliates/dr-geza-sapi.html
Terminal Degree:2011 Düsseldorf Institute for Competition Economics (DICE); Wirtschaftswissenschaftliche Fakultät; Heinriche-Heine-Universität Düsseldorf (from RePEc Genealogy)

Affiliation

(50%) Directorate-General Competition
European Commission

Bruxelles/Brussel, Belgium
http://ec.europa.eu/competition/
RePEc:edi:dg4ecbe (more details at EDIRC)

(50%) Düsseldorf Institute for Competition Economics (DICE)
Wirtschaftswissenschaftliche Fakultät
Heinriche-Heine-Universität Düsseldorf

Düsseldorf, Germany
http://www.dice.uni-duesseldorf.de/
RePEc:edi:diduede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Döpper, Hendrik & Sapi, Geza & Wey, Christian, 2022. "A bargaining perspective on vertical integration," DICE Discussion Papers 389, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  2. Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
  3. Maximilian Schäfer & Geza Sapi, 2020. "Learning from Data and Network Effects: The Example of Internet Search," Discussion Papers of DIW Berlin 1894, DIW Berlin, German Institute for Economic Research.
  4. Sabatino, Lorien & Sapi, Geza, 2019. "Online privacy and market structure: Theory and evidence," DICE Discussion Papers 308, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  5. Schaefer, Maximilian & Sapi, Geza & Lorincz, Szabolcs, 2018. "The effect of big data on recommendation quality: The example of internet search," DICE Discussion Papers 284, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  6. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  7. Baye, Irina & Sapi, Geza, 2014. "Targeted pricing, consumer myopia and investment in customer-tracking technology," DICE Discussion Papers 131, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  8. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  9. Sapi, Geza, 2012. "Bargaining, vertical mergers and entry," DICE Discussion Papers 61, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  10. Nicola Jentzsch & Geza Sapi & Irina Suleymanova, 2010. "Joint Customer Data Acquisition and Sharing among Rivals," Discussion Papers of DIW Berlin 1045, DIW Berlin, German Institute for Economic Research.
  11. Geza Sapi & Irina Suleymanova, 2009. "Beef up Your Competitor: A Model of Advertising Cooperation between Internet Search Engines," Discussion Papers of DIW Berlin 870, DIW Berlin, German Institute for Economic Research.

Articles

  1. Sabatino, Lorien & Sapi, Geza, 2022. "Online privacy and market structure: Theory and evidence," Information Economics and Policy, Elsevier, vol. 60(C).
  2. Irina Baye & Geza Sapi, 2020. "Consumer foresight, customer data, and investment in targeting technology," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 363-386, September.
  3. Rossitza Kotzeva & David Kovo & Szabolcs Lorincz & Geza Sapi & Lluis Sauri & Tommaso Valletti, 2019. "Recent Developments at DG Competition: 2018/2019," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(4), pages 551-578, December.
  4. Irina Baye & Geza Sapi, 2019. "Should Mobile Marketers Collect Data Other Than Geo‐Location?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 647-675, April.
  5. Andrea Amelio & Thomas Buettner & Cyril Hariton & Gábor Koltay & Penelope Papandropoulos & Geza Sapi & Tommaso Valletti & Hans Zenger, 2018. "Recent Developments at DG Competition: 2017/2018," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(4), pages 653-679, December.
  6. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
  7. Sapi Geza & Suleymanova Irina, 2011. "Technology Licensing by Advertising Supported Media Platforms: An Application to Internet Search Engines," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-51, June.
  8. Katja Frank & Geza Sapi, 2011. "Technologie-Lizenzierung in der Europäischen Wettbewerbskontrolle: ein Überblick," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 78(10), pages 13-17.
  9. Nicola Jentzsch & Geza Sapi, 2010. "Austausch von Kundendaten unter Konkurrenten: Graubereich im Wettbewerbsrecht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(38), pages 8-13.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.

    Cited by:

    1. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Arnoud V. den Boer & Janusz M. Meylahn & Maarten Pieter Schinkel, 2022. "Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms," Tinbergen Institute Discussion Papers 22-067/VII, Tinbergen Institute.
    3. Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Xingchen Xu & Stephanie Lee & Yong Tan, 2023. "Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems," Papers 2309.14548, arXiv.org.
    5. Simon Martin & Alexander Rasch, 2022. "Collusion by Algorithm: The Role of Unobserved Actions," CESifo Working Paper Series 9629, CESifo.
    6. Lucila Porto, 2022. "Q-Learning algorithms in a Hotelling model," Asociación Argentina de Economía Política: Working Papers 4587, Asociación Argentina de Economía Política.
    7. Werner, Tobias, 2023. "Algorithmic and Human Collusion," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277573, Verein für Socialpolitik / German Economic Association.
    8. Normann, Hans-Theo & Sternberg, Martin, 2022. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," DICE Discussion Papers 392, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    9. Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022. "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers 6, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
    10. Normann, Hans-Theo & Sternberg, Martin, 2023. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," European Economic Review, Elsevier, vol. 152(C).
    11. Fourberg, Niklas & Marques Magalhaes, Katrin & Wiewiorra, Lukas, 2023. "They Are Among Us: Pricing Behavior of Algorithms in the Field," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277958, International Telecommunications Society (ITS).

  2. Maximilian Schäfer & Geza Sapi, 2020. "Learning from Data and Network Effects: The Example of Internet Search," Discussion Papers of DIW Berlin 1894, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Prüfer, Jens & Schottmuller, C., 2017. "Competing with Big Data," Other publications TiSEM b09cad5c-e6eb-4fe7-9184-f, Tilburg University, School of Economics and Management.
    2. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    3. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2021. "Data Brokers Co-Opetition," Working Papers 202101, University of Liverpool, Department of Economics.
    4. Georgios Petropoulos & Bertin Martens & Geoffrey Parker & Marshall Van Alstyne, 2023. "Platform Competition and Information Sharing," CESifo Working Paper Series 10663, CESifo.
    5. Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2023. "Do Search Engines Increase Concentration in Media Markets?," CESifo Working Paper Series 10671, CESifo.
    6. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
    7. Francesco Angelini & Luca V. Ballestra & Massimiliano Castellani, 2022. "Digital leisure and the gig economy: a two-sector model of growth," Papers 2212.02119, arXiv.org.

  3. Sabatino, Lorien & Sapi, Geza, 2019. "Online privacy and market structure: Theory and evidence," DICE Discussion Papers 308, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    2. Lorien Sabatino & Geza Sapi, 2023. "Privacy regulation and online concentration during demand peaks: evidence from the E-commerce sector," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(2), pages 265-282, June.
    3. Kesler, Reinhold & Kummer, Michael E. & Schulte, Patrick, 2019. "Competition and privacy in online markets: Evidence from the mobile app industry," ZEW Discussion Papers 19-064, ZEW - Leibniz Centre for European Economic Research.
    4. Congiu, Raffaele & Sabatino, Lorien & Sapi, Geza, 2022. "The Impact of Privacy Regulation on Web Traffic: Evidence From the GDPR," Information Economics and Policy, Elsevier, vol. 61(C).

  4. Schaefer, Maximilian & Sapi, Geza & Lorincz, Szabolcs, 2018. "The effect of big data on recommendation quality: The example of internet search," DICE Discussion Papers 284, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Elena Argentesi & Paolo Buccirossi & Emilio Calvano & Tomaso Duso & Alessia Marrazzo & Salvatore Nava, 2019. "Merger Policy in Digital Markets: An Ex-Post Assessment," CESifo Working Paper Series 7985, CESifo.
    2. Graef, Inge & Prüfer, Jens, 2021. "Governance of Data Sharing : a Law & Economics Proposal," Other publications TiSEM 81ca5cc3-d384-4bc4-af82-d, Tilburg University, School of Economics and Management.
    3. Georgios Petropoulos & Bertin Martens & Geoffrey Parker & Marshall Van Alstyne, 2023. "Platform Competition and Information Sharing," CESifo Working Paper Series 10663, CESifo.
    4. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
    5. Shan Huang & Michael Allan Ribers & Hannes Ullrich, 2021. "The Value of Data for Prediction Policy Problems: Evidence from Antibiotic Prescribing," Discussion Papers of DIW Berlin 1939, DIW Berlin, German Institute for Economic Research.
    6. Krämer, Jan & Shekhar, Shiva & Hofmann, Janina, 2022. "Regulating Algorithmic Learning in Digital Platform Ecosystems through Data Sharing and Data Siloing: Consequences for Innovation and Welfare," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265645, International Telecommunications Society (ITS).
    7. de Cornière, Alexandre & Taylor, Greg, 2022. "Data and Competition: a Simple Framework with Applications to Mergers and Market Structure," CEPR Discussion Papers 14446, C.E.P.R. Discussion Papers.
    8. Kesler, Reinhold & Kummer, Michael E. & Schulte, Patrick, 2019. "Competition and privacy in online markets: Evidence from the mobile app industry," ZEW Discussion Papers 19-064, ZEW - Leibniz Centre for European Economic Research.
    9. Arnold, René & Marcus, J. Scott & Petropoulos, Georgios & Schneider, Anna, 2018. "Is data the new oil? Diminishing returns to scale," 29th European Regional ITS Conference, Trento 2018 184927, International Telecommunications Society (ITS).
    10. Calvano, Emilio & Polo, Michele, 2020. "Market Power, Competition and Innovation in digital markets: a survey," CEPR Discussion Papers 14314, C.E.P.R. Discussion Papers.
    11. de Cornière, Alexandre & Taylor, Greg, 2020. "Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy," TSE Working Papers 20-1076, Toulouse School of Economics (TSE).
    12. Lenz, Fulko, 2020. "Plattformökonomie – zwischen Abwehr und Wunschdenken," Zeitthemen 03, Stiftung Marktwirtschaft / The Market Economy Foundation, Berlin.
    13. Jörg Claussen & Christian Peukert & Ananya Sen, 2019. "The Editor vs. the Algorithm: Returns to Data and Externalities in Online News," CESifo Working Paper Series 8012, CESifo.

  5. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Clavorà Braulin, Francesco, 2023. "The effects of personal information on competition: Consumer privacy and partial price discrimination," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    2. Clavorà Braulin, Francesco, 2021. "The effects of personal information on competition: Consumer privacy and partial price discrimination," ZEW Discussion Papers 21-007, ZEW - Leibniz Centre for European Economic Research.
    3. Oussama Benbrahim Ansari, 2021. "Geo-Marketing Segmentation with Deep Learning," Businesses, MDPI, vol. 1(1), pages 1-21, June.

  6. Baye, Irina & Sapi, Geza, 2014. "Targeted pricing, consumer myopia and investment in customer-tracking technology," DICE Discussion Papers 131, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Christian Trudeau & Zheng Wang, 2015. "Help us to help you: how consumer data can alter quality races," Working Papers 1501, University of Windsor, Department of Economics.
    2. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).

  7. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    Cited by:

    1. Baye, Irina & Hasnas, Irina, 2014. "Consumer flexibility, data quality and location choice," DICE Discussion Papers 139, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    3. Irina Baye & Irina Hasnas, 2017. "Consumer flexibility, data quality and location choice," Journal of Economics, Springer, vol. 120(2), pages 135-169, March.
    4. Hasnas, Irina, 2014. "A note on consumer flexibility, data quality and collusion," DICE Discussion Papers 140, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

  8. Nicola Jentzsch & Geza Sapi & Irina Suleymanova, 2010. "Joint Customer Data Acquisition and Sharing among Rivals," Discussion Papers of DIW Berlin 1045, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Miettinen, Topi & Stenbacka, Rune, 2015. "Personalized pricing versus history-based pricing: implications for privacy policy," Information Economics and Policy, Elsevier, vol. 33(C), pages 56-68.
    2. Chongwoo Choe & Noriaki Matsushima & Mark J. Tremblay, 2020. "Behavior-Based Personalized Pricing: When Firms Can Share Customer Information," ISER Discussion Paper 1083r, Institute of Social and Economic Research, Osaka University, revised Jul 2021.
    3. Baye, Irina & Hasnas, Irina, 2014. "Consumer flexibility, data quality and location choice," DICE Discussion Papers 139, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," CESifo Working Paper Series 8307, CESifo.
    5. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2021. "Competition and Mergers with Strategic Data Intermediaries," CESifo Working Paper Series 9339, CESifo.
    6. Nicola Jentzsch, 2017. "Secondary use of personal data: a welfare analysis," European Journal of Law and Economics, Springer, vol. 44(1), pages 165-192, August.
    7. Sumit Shrivastav, 2021. "Price discrimination with imperfect consumer recognition," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-017, Indira Gandhi Institute of Development Research, Mumbai, India.
    8. Clavorà Braulin, Francesco, 2023. "The effects of personal information on competition: Consumer privacy and partial price discrimination," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    9. Chongwoo Choe & Stephen King & Noriaki Matsushima, 2017. "Pricing with Cookies: Behavior-Based Price Discrimination and Spatial Competition," Monash Economics Working Papers 07-17, Monash University, Department of Economics.
    10. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2021. "Selling strategic information in digital competitive markets," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 283-313, June.
    11. Chongwoo Choe & Jiajia Cong & Chengsi Wang, 2021. "Softening Competition through Unilateral Sharing of Customer Data," Monash Economics Working Papers 2021-10, Monash University, Department of Economics.
    12. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    13. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor," Papers 2302.00285, arXiv.org.
    14. Irina Baye & Irina Hasnas, 2017. "Consumer flexibility, data quality and location choice," Journal of Economics, Springer, vol. 120(2), pages 135-169, March.
    15. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019. "Competitive Imperfect Price Discrimination and Market Power," CESifo Working Paper Series 7964, CESifo.
    16. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2022. "Market for Information and Selling Mechanisms," CER-ETH Economics working paper series 22/367, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    17. De Nijs, Romain, 2017. "Behavior-based price discrimination and customer information sharing," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 319-334.
    18. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor (Extended Abstract)," Papers 2307.05078, arXiv.org.
    19. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    20. Rhee, Ki-Eun, 2014. "What types of switching costs to create under behavior-based price discrimination?," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 209-221.
    21. Oz Shy & Rune Stenbacka, 2016. "Customer Privacy and Competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(3), pages 539-562, September.
    22. Tong Zhang & Yixue Huo & Xin Zhang & Jie Shuai, 2019. "Endogenous third-degree price discrimination in Hotelling model with elastic demand," Journal of Economics, Springer, vol. 127(2), pages 125-145, July.
    23. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," PSE Working Papers hal-01226250, HAL.
    24. David Bounies & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," Working Papers ECARES 2020-07, ULB -- Universite Libre de Bruxelles.
    25. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," Working Papers hal-01226250, HAL.
    26. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2018. "Selling Strategic Information in Digital Competitive Markets," CESifo Working Paper Series 7078, CESifo.
    27. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    28. Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2017. "Price Discrimination and Dispersion under Asymmetric Profiling of Consumers," AMSE Working Papers 1713, Aix-Marseille School of Economics, France.
    29. Antoine Dubus, 2023. "Behavior-Based Algorithmic Pricing," Working Papers hal-03269586, HAL.
    30. Takaomi Notsu, 2023. "Collusion with capacity constraints under a sales maximization rationing rule," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(2), pages 485-516, June.
    31. Ronen Gradwohl & Moshe Tennenholtz, 2022. "Pareto-Improving Data-Sharing," Papers 2205.11295, arXiv.org.
    32. Irina Baye & Geza Sapi, 2019. "Should Mobile Marketers Collect Data Other Than Geo‐Location?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 647-675, April.
    33. Clavorà Braulin, Francesco, 2021. "The effects of personal information on competition: Consumer privacy and partial price discrimination," ZEW Discussion Papers 21-007, ZEW - Leibniz Centre for European Economic Research.
    34. Shy, Oz & Stenbacka, Rune, 2013. "Investment in customer recognition and information exchange," Information Economics and Policy, Elsevier, vol. 25(2), pages 92-106.
    35. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2023. "Competition Between Strategic Data Intermediaries with Implications for Merger Policy," Working Papers hal-03336520, HAL.
    36. António Brandão & Joana Pinho, 2015. "Asymmetric Information And Exchange Of Information About Product Differentiation," Bulletin of Economic Research, Wiley Blackwell, vol. 67(2), pages 166-185, April.
    37. Shuaicheng Liu, 2023. "Location choice with asymmetric data in the Hotelling model," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(4), pages 855-878, December.

  9. Geza Sapi & Irina Suleymanova, 2009. "Beef up Your Competitor: A Model of Advertising Cooperation between Internet Search Engines," Discussion Papers of DIW Berlin 870, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Gu, Yiquan & Wenzel, Tobias, 2011. "Transparency, entry, and productivity," DICE Discussion Papers 39, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Stühmeier Torben & Wenzel Tobias, 2012. "Regulating Advertising in the Presence of Public Service Broadcasting," Review of Network Economics, De Gruyter, vol. 11(2), pages 1-23, June.
    3. Christin, Clémence, 2011. "Entry deterrence through cooperative R&D over-investment," DICE Discussion Papers 38, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Haucap, Justus & Herr, Annika & Frank, Björn, 2011. "In vino veritas: Theory and evidence on social drinking," DICE Discussion Papers 37, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

Articles

  1. Sabatino, Lorien & Sapi, Geza, 2022. "Online privacy and market structure: Theory and evidence," Information Economics and Policy, Elsevier, vol. 60(C).
    See citations under working paper version above.
  2. Rossitza Kotzeva & David Kovo & Szabolcs Lorincz & Geza Sapi & Lluis Sauri & Tommaso Valletti, 2019. "Recent Developments at DG Competition: 2018/2019," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(4), pages 551-578, December.

    Cited by:

    1. Liliane Karlinger & Dimitrios Magos & Pierre Régibeau & Hans Zenger, 2020. "Recent Developments at DG Competition: 2019/2020," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 783-814, December.
    2. Thomas Buettner & Daniel Coublucq & Rossitza Kotzeva & Lluis Sauri-Romero & Pierre Régibeau, 2022. "Recent Developments at DG Competition: 2021/2022," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(4), pages 449-487, December.
    3. Steffen, Nico & Wiewiorra, Lukas & Kroon, Peter, 2021. "Wettbewerb und Regulierung in der Plattform- und Datenökonomie," WIK Discussion Papers 481, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.

  3. Irina Baye & Geza Sapi, 2019. "Should Mobile Marketers Collect Data Other Than Geo‐Location?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 647-675, April.

    Cited by:

    1. Irina Baye & Geza Sapi, 2020. "Consumer foresight, customer data, and investment in targeting technology," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 363-386, September.
    2. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    3. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

  4. Andrea Amelio & Thomas Buettner & Cyril Hariton & Gábor Koltay & Penelope Papandropoulos & Geza Sapi & Tommaso Valletti & Hans Zenger, 2018. "Recent Developments at DG Competition: 2017/2018," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(4), pages 653-679, December.

    Cited by:

    1. Cavalleri, Maria Chiara & Eliet, Alice & McAdam, Peter & Petroulakis, Filippos & Soares, Ana & Vansteenkiste, Isabel, 2019. "Concentration, market power and dynamism in the euro area," Working Paper Series 2253, European Central Bank.
    2. Rossitza Kotzeva & David Kovo & Szabolcs Lorincz & Geza Sapi & Lluis Sauri & Tommaso Valletti, 2019. "Recent Developments at DG Competition: 2018/2019," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(4), pages 551-578, December.
    3. Thomas Buettner & Daniel Coublucq & Rossitza Kotzeva & Lluis Sauri-Romero & Pierre Régibeau, 2022. "Recent Developments at DG Competition: 2021/2022," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(4), pages 449-487, December.
    4. Giulio Federico & Fiona Scott Morton & Carl Shapiro, 2019. "Antitrust and Innovation: Welcoming and Protecting Disruption," NBER Working Papers 26005, National Bureau of Economic Research, Inc.

  5. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
    See citations under working paper version above.
  6. Sapi Geza & Suleymanova Irina, 2011. "Technology Licensing by Advertising Supported Media Platforms: An Application to Internet Search Engines," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-51, June.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-COM: Industrial Competition (11) 2009-04-05 2011-08-02 2012-07-14 2012-07-14 2013-11-29 2014-03-08 2018-04-16 2018-04-16 2019-02-25 2020-09-28 2022-07-25. Author is listed
  2. NEP-MKT: Marketing (6) 2009-04-05 2011-08-02 2012-07-14 2013-11-29 2014-03-08 2018-04-16. Author is listed
  3. NEP-PAY: Payment Systems & Financial Technology (6) 2018-04-02 2018-04-16 2018-04-16 2019-02-25 2020-09-28 2021-10-25. Author is listed
  4. NEP-IND: Industrial Organization (5) 2009-04-05 2012-07-14 2019-02-25 2021-10-25 2022-07-25. Author is listed
  5. NEP-BEC: Business Economics (4) 2011-08-02 2012-07-14 2012-07-14 2018-04-16
  6. NEP-BIG: Big Data (4) 2018-04-02 2018-04-16 2020-09-28 2021-10-25
  7. NEP-ICT: Information & Communication Technologies (4) 2009-04-05 2011-08-02 2018-04-16 2020-09-28
  8. NEP-MIC: Microeconomics (3) 2009-04-05 2012-07-14 2022-07-25
  9. NEP-REG: Regulation (3) 2020-09-28 2021-10-25 2022-07-25
  10. NEP-CTA: Contract Theory & Applications (2) 2013-11-29 2022-07-25
  11. NEP-CMP: Computational Economics (1) 2021-10-25
  12. NEP-GTH: Game Theory (1) 2022-07-25
  13. NEP-INO: Innovation (1) 2011-08-02
  14. NEP-IPR: Intellectual Property Rights (1) 2011-08-02
  15. NEP-NET: Network Economics (1) 2011-08-02

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