IDEAS home Printed from https://ideas.repec.org/p/edj/ceauch/216.html

Sunk Prices And Salesforce Competition

Author

Listed:
  • Alejandro Corvalán
  • Pablo Serra

Abstract

This work analyses those industries in which the role of salespersons is to poach clients from rival firms. This is done with a three-stage model where firms decide successively if they enter the market or not, what price to set, and how many salespersons they hire. It is assumed that each consumer is obliged to contract a service unit, but can do so with any firm. The firms can freely choose the price, but must charge same rates to all clients. Under these assumptions it is shown that the possibility of poaching rivals’ clients reduces the intensity of price competition.

Suggested Citation

  • Alejandro Corvalán & Pablo Serra, 2005. "Sunk Prices And Salesforce Competition," Documentos de Trabajo 216, Centro de Economía Aplicada, Universidad de Chile.
  • Handle: RePEc:edj:ceauch:216
    as

    Download full text from publisher

    File URL: http://www.cea-uchile.cl/wp-content/uploads/doctrab/ASOCFILE120060119094357.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    2. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    3. Aucremanne, Luc & Dhyne, Emmanuel, 2004. "How frequently do prices change? Evidence based on the micro data underlying the Belgian CPI," Working Paper Series 331, European Central Bank.
    4. Avinash Dixit & Victor Norman, 1978. "Advertising and Welfare," Bell Journal of Economics, The RAND Corporation, vol. 9(1), pages 1-17, Spring.
    5. Blinder, Alan S, 1991. "Why Are Prices Sticky? Preliminary Results from an Interview Study," American Economic Review, American Economic Association, vol. 81(2), pages 89-96, May.
    6. Solange Berstein & Alejandro Micco, 2002. "Turnover and Regulation: The Chilean Pension Fund Industry," Working Papers Central Bank of Chile 180, Central Bank of Chile.
    7. Bagwell, Kyle, 2007. "The Economic Analysis of Advertising," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 28, pages 1701-1844, Elsevier.
    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. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
    2. Kerkhof, Anna & Münster, Johannes, 2015. "Quantity restrictions on advertising, commercial media bias, and welfare," Journal of Public Economics, Elsevier, vol. 131(C), pages 124-141.
    3. Andreas Hefti & Shuo Liu & Armin Schmutzler, 2022. "Preferences, Confusion and Competition," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1852-1881.
    4. Justin P. Johnson & David P. Myatt, 2006. "On the Simple Economics of Advertising, Marketing, and Product Design," American Economic Review, American Economic Association, vol. 96(3), pages 756-784, June.
    5. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    6. Baker Matthew J. & George Lisa M, 2010. "The Role of Television in Household Debt: Evidence from the 1950's," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-38, May.
    7. Astorne-Figari, Carmen & López, José Joaquín & Yankelevich, Aleksandr, 2019. "Advertising for consideration," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 653-669.
    8. F. Barigozzi & M. Peitz, 2004. "Comparative Advertising and Competition Policy," Working Papers 524, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Ivan Pastine & Tuvana Pastine, 2011. "Coordination In Markets With Consumption Externalities: Advertising And Product Quality," Manchester School, University of Manchester, vol. 79(1), pages 45-62, January.
    10. Ruiz-Aliseda, Francisco, 2009. "Misinformative advertising," IESE Research Papers D/809, IESE Business School.
    11. Wang, Shinn-Shyr & Stiegert, Kyle W., 2006. "The Duopolistic Firm with Endogenous Risk Control Case of Persuasive Advertising and Product Differentiation," Working Papers 201535, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    12. Alvarez González, Luis Julián, 2008. "What Do Micro Price Data Tell Us on the Validity of the New Keynesian Phillips Curve?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-36.
    13. Gori, Luca & Sodini, Mauro & Fanti, Luciano, 2015. "A nonlinear Cournot duopoly with advertising," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 178-190.
    14. Simon P. Anderson & André De Palma, 2009. "Information congestion," RAND Journal of Economics, RAND Corporation, vol. 40(4), pages 688-709, December.
    15. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    16. Simon P. Anderson, 2005. "Regulation of Television advertising," Virginia Economics Online Papers 363, University of Virginia, Department of Economics.
    17. Creane, Anthony & Manduchi, Agostino, 2022. "Informative advertising in monopolistically competitive markets," International Journal of Industrial Organization, Elsevier, vol. 83(C).
    18. Ulrich Doraszelski & Sarit Markovich, 2004. "Advertising Dynamics and Competitive Advantage," Computing in Economics and Finance 2004 61, Society for Computational Economics.
    19. McCarthy, Ian M., 2016. "Advertising intensity and welfare in an equilibrium search model," Economics Letters, Elsevier, vol. 141(C), pages 20-26.
    20. Wasim Shahid Malik & Ahsan ul Haq Satti & Ghulam Saghir, 2008. "Price Setting Behaviour of Pakistani Firms: Evidence from Four Industrial Cities of Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(3), pages 247-266.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:edj:ceauch:216. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ceuclcl.html .

    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.