IDEAS home Printed from https://ideas.repec.org/a/eee/reecon/v58y2004i2p159-173.html
   My bibliography  Save this article

Subjective price search and public intervention

Author

Listed:
  • Galasso, Alberto

Abstract

No abstract is available for this item.

Suggested Citation

  • Galasso, Alberto, 2004. "Subjective price search and public intervention," Research in Economics, Elsevier, vol. 58(2), pages 159-173, June.
  • Handle: RePEc:eee:reecon:v:58:y:2004:i:2:p:159-173
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1090-9443(04)00014-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gabszewicz, Jean Jaskold & Thisse, Jacques-Francois, 1986. "On the Nature of Competition with Differentiated Products," Economic Journal, Royal Economic Society, vol. 96(381), pages 160-172, March.
    2. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    3. Gabszewicz, Jean J & Grilo, Isabel, 1992. "Price Competition When Consumers Are Uncertain about Which Firm Sells Which Quality," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 1(4), pages 629-650, Winter.
    4. Gabszewicz, Jean J. & Garella, Paolo, 1986. "Subjective price search and price competition," International Journal of Industrial Organization, Elsevier, vol. 4(3), pages 305-316, September.
    5. Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
    6. Asher Wolinsky, 1983. "Prices as Signals of Product Quality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 647-658.
    7. Anderson, Simon P & Renault, Regis, 2000. "Consumer Information and Firm Pricing: Negative Externalities from Improved Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(3), pages 721-742, August.
    8. Gabszewicz, J. & Garella, P. & Nollet, Ch., 1989. "Spacial Price Competition With Uninformed Buyers," LIDAM Discussion Papers CORE 1989006, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. d'Aspremont, C & Gabszewicz, Jean Jaskold & Thisse, J-F, 1979. "On Hotelling's "Stability in Competition"," Econometrica, Econometric Society, vol. 47(5), pages 1145-1150, September.
    10. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    2. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, September.
    3. Michael R. Galbreth & Bikram Ghosh, 2020. "The effect of exogenous product familiarity on endogenous consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 195-235, June.
    4. Nathan Larson, 2013. "Niche products, generic products, and consumer search," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(2), pages 793-832, March.
    5. Heski Bar-Isaac & Sandro Shelegia, 2023. "Search, Showrooming, and Retailer Variety," Marketing Science, INFORMS, vol. 42(2), pages 251-270, March.
    6. Jidong Zhou, 2020. "Improved Information in Search Markets," Cowles Foundation Discussion Papers 2264R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    7. Michael Choi & Guillaume Rocheteau, 2024. "Information acquisition and price discrimination in dynamic, decentralized markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 53, pages 1-46, July.
    8. Konishi, Hideo, 2005. "Concentration of competing retail stores," Journal of Urban Economics, Elsevier, vol. 58(3), pages 488-512, November.
    9. Marcel Preuss, 2023. "Search, learning, and tracking," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 54-82, March.
    10. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    11. Arbatskaya, Maria & Konishi, Hideo, 2012. "Referrals in search markets," International Journal of Industrial Organization, Elsevier, vol. 30(1), pages 89-101.
    12. Andrew Rhodes & Jidong Zhou, 2019. "Consumer Search and Retail Market Structure," Management Science, INFORMS, vol. 67(6), pages 2607-2623, June.
    13. Armstrong, Mark & Zhou, Jidong, 2010. "Exploding offers and buy-now discounts," MPRA Paper 22531, University Library of Munich, Germany.
    14. Dmitry Lubensky, 2017. "A model of recommended retail prices," RAND Journal of Economics, RAND Corporation, vol. 48(2), pages 358-386, May.
    15. Gamp, Tobias & Krähmer, Daniel, 2022. "Biased Beliefs in Search Markets," Rationality and Competition Discussion Paper Series 365, CRC TRR 190 Rationality and Competition.
    16. Yongmin Chen & Tianle Zhang, 2018. "Entry and Welfare in Search Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 55-80, February.
    17. Huanxing Yang, 2013. "Targeted search and the long tail effect," RAND Journal of Economics, RAND Corporation, vol. 44(4), pages 733-756, December.
    18. Simon P. Anderson & Régis Renault & Claude Jessua, 1996. "Produits différenciés et information imparfaite des consommateurs," Revue Économique, Programme National Persée, vol. 47(3), pages 425-435.
    19. Sarah Auster & Nenad Kos & Salvatore Piccolo, 2021. "Optimal Pricing, Private Information and Search For an Outside Offer," CRC TR 224 Discussion Paper Series crctr224_2021_151v2, University of Bonn and University of Mannheim, Germany.
    20. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reecon:v:58:y:2004:i:2:p:159-173. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622941 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.