IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v37y2005i9p1027-1035.html
   My bibliography  Save this article

Estimation of an implied price elasticity of demand through current pricing practices

Author

Listed:
  • Michael Gorman

Abstract

Researchers have long pursued better methods to estimate price elasticity of market-level demand. Due to a plethora of empirical problems, the estimates produced in many empirical studies leave researchers with wide confidence intervals that do little to clarify demand conditions. As a result, these estimates are of limited practical use to the firm facing a firm-level demand. Here, a non-statistical methodology based on seller optimization behaviour is applied that creates an 'implied elasticity' of firm-level demand that is robust, intuitively plausible and free of oppressive data requirements. These elasticities are tested in an applied setting against pricing managers' surveyed estimates for customer price sensitivity for freight rail transportation services and it is found that the estimate is consistent with their pricing behaviour. This methodology is recommended for creating a simple, plausible starting point estimate for firm-level price elasticities, or using this calculation as an input to statistical studies.

Suggested Citation

  • Michael Gorman, 2005. "Estimation of an implied price elasticity of demand through current pricing practices," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1027-1035.
  • Handle: RePEc:taf:applec:v:37:y:2005:i:9:p:1027-1035
    DOI: 10.1080/00036840500091969
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840500091969
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840500091969?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Kenneth Clements & Wana Yang & Dongling Chen, 2001. "The matrix approach to evaluating demand equations," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 957-967.
    2. Kremers, Hans & Nijkamp, Peter & Rietveld, Piet, 2002. "A meta-analysis of price elasticities of transport demand in a general equilibrium framework," Economic Modelling, Elsevier, vol. 19(3), pages 463-485, May.
    3. Michael F. Gorman, 2001. "Intermodal Pricing Model Creates a Network Pricing Perspective at BNSF," Interfaces, INFORMS, vol. 31(4), pages 37-49, August.
    4. Papatla, Purushottam, 1995. "A dynamic model of the advertising-price sensitivity relationship for heterogeneous consumers," Journal of Business Research, Elsevier, vol. 33(3), pages 261-271, July.
    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. Zhou, Wei-Hua & Lee, Chung-Yee, 2009. "Pricing and competition in a transportation market with empty equipment repositioning," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 677-691, July.
    2. Li, Dongjun & Islam, Dewan Md Zahurul & Robinson, Mark & Song, Dong-Ping & Dong, Jing-Xin & Reimann, Marc, 2024. "Network revenue management game in the railway industry: Stackelberg equilibrium, global optimality, and mechanism design," European Journal of Operational Research, Elsevier, vol. 312(1), pages 240-254.
    3. Michael F. Gorman, 2023. "Case Article—Louisiana Branch Lines," INFORMS Transactions on Education, INFORMS, vol. 23(3), pages 139-143, May.

    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. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    2. Drevs, Florian & Tscheulin, Dieter K. & Lindenmeier, Jörg & Renner, Simone, 2014. "Crowding-in or crowding out: An empirical analysis on the effect of subsidies on individual willingness-to-pay for public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 250-261.
    3. Turino Francesco, 2010. "Non-Price Competition, Real Rigidities and Inflation Dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-61, July.
    4. Li, Zheng & Hensher, David A. & Rose, John M., 2011. "Identifying sources of systematic variation in direct price elasticities from revealed preference studies of inter-city freight demand," Transport Policy, Elsevier, vol. 18(5), pages 727-734, September.
    5. Luca Zamparini & Aura Reggiani, 2007. "Meta-Analysis and the Value of Travel Time Savings: A Transatlantic Perspective in Passenger Transport," Networks and Spatial Economics, Springer, vol. 7(4), pages 377-396, December.
    6. Joubert, J.W. & Axhausen, K.W., 2011. "Inferring commercial vehicle activities in Gauteng, South Africa," Journal of Transport Geography, Elsevier, vol. 19(1), pages 115-124.
    7. Oded Cats & Yusak O. Susilo & Triin Reimal, 2017. "The prospects of fare-free public transport: evidence from Tallinn," Transportation, Springer, vol. 44(5), pages 1083-1104, September.
    8. Michael F. Gorman, 2023. "Case Article—Louisiana Branch Lines," INFORMS Transactions on Education, INFORMS, vol. 23(3), pages 139-143, May.
    9. Jiechao Zhang & Xuedong Yan & Meiwu An & Li Sun, 2017. "The Impact of Beijing Subway’s New Fare Policy on Riders’ Attitude, Travel Pattern and Demand," Sustainability, MDPI, vol. 9(5), pages 1-21, April.
    10. Goh, Shao Hung & Chan, Yuxian, 2016. "Operational shadow pricing in back haul container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 3-15.
    11. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    12. Hensher, David A., 2008. "Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice," Research in Transportation Economics, Elsevier, vol. 23(1), pages 23-29, January.
    13. Mingzhu Yu & Ruina Yang & Zelong Yi & Xuwen Cong, 2020. "Contracting in Ocean Shipping Market Under Asymmetric Information," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-24, March.
    14. H. Ahammad & N. Islam, 1999. "Estimating the WA Agricultural Production System: A profit function approach," Economics Discussion / Working Papers 99-11, The University of Western Australia, Department of Economics.
    15. Simona Bigerna & Carlo Andrea Bollino & Paolo Polinori, 2014. "The Question of Sustainability of Green Electricity Policy Intervention," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    16. Merkel, Axel & Holmgren, Johan, 2017. "Dredging the depths of knowledge: Efficiency analysis in the maritime port sector," Transport Policy, Elsevier, vol. 60(C), pages 63-74.
    17. Saroja Selvanathan & E. A. Selvanathan, 2004. "Empirical regularities in South African consumption patterns," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2327-2333.
    18. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    19. Wardman, Mark & Toner, Jeremy & Fearnley, Nils & Flügel, Stefan & Killi, Marit, 2018. "Review and meta-analysis of inter-modal cross-elasticity evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 662-681.
    20. Lorenzo Varela, Juan Manuel & Börjesson, Maria & Daly, Andrew, 2018. "Public transport: One mode or several?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 137-156.

    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:taf:applec:v:37:y:2005:i:9:p:1027-1035. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.