IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-12-00549.html
   My bibliography  Save this article

The Outside Good Bias in Logit Models of Demand with Aggregate Data

Author

Listed:
  • Dongling Huang

    (Rensselaer Polytechnic Institute)

  • Christian Rojas

    (University of Massachusetts Amherst)

Abstract

The logit model is the most popular tool for estimating demand in differentiated products markets. However, in its aggregate version, practitioners have to “guess” the size outside good. We propose a way to remove the bias created by an inaccurate guess in simpler versions of the model.

Suggested Citation

  • Dongling Huang & Christian Rojas, 2013. "The Outside Good Bias in Logit Models of Demand with Aggregate Data," Economics Bulletin, AccessEcon, vol. 33(1), pages 198-206.
    • Handle: RePEc:ebl:ecbull:eb-12-00549
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I1-P19.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    2. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    3. Dongling Huang & Christian Rojas & Frank Bass, 2008. "What Happens When Demand Is Estimated With A Misspecified Model?," Journal of Industrial Economics, Wiley Blackwell, vol. 56(4), pages 809-839, December.
    4. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Philippe Choné & Lionel Wilner, 2022. "Financial Incentives and Competitive Pressure: The Case of the Hospital Industry," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 626-666.
    2. Huang Dongling & Rojas Christian, 2014. "Eliminating the Outside Good Bias in Logit Models of Demand with Aggregate Data," Review of Marketing Science, De Gruyter, vol. 12(1), pages 1-36, January.
    3. Sánchez Navarro, Dennis, 2013. "Análisis de elasticidades en el mercado automotor colombiano (2009 - 2011) mediante un modelo logit anidado [Analysis Of Elasticity In Colombian Automotive Market (2009 - 2011) Through A Nested Log," MPRA Paper 46043, University Library of Munich, Germany.
    4. P. Givord & C. Grislain-Letrémy & H. Naegele, 2014. "How does fuel taxation impact new car purchases? An evaluation using French consumer-level dataset," Documents de Travail de l'Insee - INSEE Working Papers g2014-14, Institut National de la Statistique et des Etudes Economiques.
    5. Pierre Dubois & Ashvin Gandhi & Shoshana Vasserman, 2022. "Bargaining and International Reference Pricing in the Pharmaceutical Industry," NBER Working Papers 30053, National Bureau of Economic Research, Inc.
    6. repec:diw:diwwpp:dp1428 is not listed on IDEAS
    7. David Coble, 2019. "Multimarket Contact in Banking Competition in The United States," Working Papers Central Bank of Chile 858, Central Bank of Chile.
    8. Philippe CHONÉ & Lionel WILNER, 2019. "Competition on Unobserved Attributes: The Case of the Hospital Industry," Working Papers 2019-21, Center for Research in Economics and Statistics.

    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. Bimbo, Francesco & Bonanno, Alessandro & Viscecchia, Rosaria, 2019. "An empirical framework to study food labelling fraud: an application to the Italian extra-virgin olive oil market," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    2. Pham, Vivienne & Prentice, David, 2010. "An empirical analysis of the counterfactual: a merger and divestiture in the Australian cigarette industry," MPRA Paper 26713, University Library of Munich, Germany.
    3. Bokhari, Farasat A.S. & Mariuzzo, Franco, 2018. "Demand estimation and merger simulations for drugs: Logits v. AIDS," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 653-685.
    4. Donna, Javier D. & Pereira, Pedro & Trindade, Andre & Yoshida, Renan C., 2020. "Direct-to-Consumer Sales by Manufacturers and Bargaining," MPRA Paper 105773, University Library of Munich, Germany.
    5. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    6. Patrick Bajari & Jeremy Fox & Stephen Ryan, 2008. "Evaluating wireless carrier consolidation using semiparametric demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 299-338, December.
    7. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    8. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    9. Nathan H. Miller, 2008. "Competition When Consumers Value Firm Scope," EAG Discussions Papers 200807, Department of Justice, Antitrust Division.
    10. Freyberger, Joachim, 2015. "Asymptotic theory for differentiated products demand models with many markets," Journal of Econometrics, Elsevier, vol. 185(1), pages 162-181.
    11. Gandal, Neil, 2001. "The dynamics of competition in the internet search engine market," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1103-1117, July.
    12. Celine Bonnet & Pierre Dubois & Sofia B. Villas Boas & Daniel Klapper, 2013. "Empirical Evidence on the Role of Nonlinear Wholesale Pricing and Vertical Restraints on Cost Pass-Through," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 500-515, May.
    13. Dongling Huang & Christian Rojas & Frank Bass, 2008. "What Happens When Demand Is Estimated With A Misspecified Model?," Journal of Industrial Economics, Wiley Blackwell, vol. 56(4), pages 809-839, December.
    14. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    15. Pierre Dubois & Rachel Griffith & Martin O'Connell, 2020. "How Well Targeted Are Soda Taxes?," American Economic Review, American Economic Association, vol. 110(11), pages 3661-3704, November.
    16. Daniel Toro-Gonzalez & Jia Yan & R. Karina Gallardo & Jill J. McCluskey, 2013. "Estimation of Unobserved Attributes Using a Control Function Approach, Modeling the Demand for Mint Flavored Gum," Working Papers 2013-06, School of Economic Sciences, Washington State University.
    17. Nicholas Economides & Katja Seim & V. Brian Viard, 2008. "Quantifying the benefits of entry into local phone service," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 699-730, September.
    18. Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
    19. Mattia Girotti & Richard Meade, 2017. "U.S. Savings Banks' Demutualization and Depositor Welfare," Working Papers 2017-08, Auckland University of Technology, Department of Economics.
    20. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.

    More about this item

    Keywords

    Logit model; demand estimation; outside good; differentiated products;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D4 - Microeconomics - - Market Structure, Pricing, and Design

    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:ebl:ecbull:eb-12-00549. 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: John P. Conley (email available below). General contact details of provider: .

    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.