IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v26y2011i2p232-269.html

The response of prices, sales, and output to temporary changes in demand

Author

Listed:
  • Adam Copeland
  • George Hall

Abstract

We determine empirically how automakers accommodate shocks to demand. Using data on production, sales, and transaction prices, we estimate a dynamic profit maximization model of the firm. We demonstrate that when an automaker is hit with a vehicle-specific demand shock, sales respond immediately and prices respond very modestly. Further, when accounting for non‐convexities in the cost function, production responds with a delay. Over time, shocks are absorbed almost entirely through adjustments in sales and production rather than prices. We examine two recent demand shocks: the Ford Explorer/Firestone tire recall of 2000, and the 11 September 2001 terrorist attacks. Copyright (C) 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Adam Copeland & George Hall, 2011. "The response of prices, sales, and output to temporary changes in demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 232-269, March.
  • Handle: RePEc:wly:japmet:v:26:y:2011:i:2:p:232-269
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.1120
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Alexis Antoniades & Sofronis Clerides & Mingzhi Xu, 2023. "Micro‐responses to shocks: pricing, promotion, and entry," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(3), pages 584-615, July.
    2. Antoniades, Alexis & Clerides, Sofronis & Xu, Mingzhi, 2023. "Multi-product firm price and variety response to firm-specific cost shocks," International Journal of Industrial Organization, Elsevier, vol. 90(C).
    3. Priscila Silva & Mariana Hidalgo & Mindy Hotchkiss & Lasitha Dharmasena & Igor Linkov & Lance Fiondella, 2024. "Predictive Resilience Modeling Using Statistical Regression Methods," Mathematics, MDPI, vol. 12(15), pages 1-30, July.
    4. Adam Copeland & James A. Kahn, 2012. "Exchange rate pass-through, markups, and inventories," Staff Reports 584, Federal Reserve Bank of New York.
    5. McManus, Walter, 2007. "The link between gasoline prices and vehicle sales:economic theory trumps conventional Detroit wisdom," MPRA Paper 3463, University Library of Munich, Germany.
    6. Florian Zettelmeyer & Fiona Scott Morton & Jorge Silva-Risso, 2006. "Scarcity Rents in Car Retailing: Evidence from Inventory Fluctuations at Dealerships," NBER Working Papers 12177, National Bureau of Economic Research, Inc.
    7. Nils Gottfries & Glenn Mickelsson & Karolina Stadin, 2021. "Deep Dynamics," CESifo Working Paper Series 8873, CESifo.
    8. Friberg, Richard & Huse, Cristian, 2012. "How to use demand systems to evaluate risky projects, with an application to automobile production," CEPR Discussion Papers 9266, C.E.P.R. Discussion Papers.
    9. Robert G. Hammond, 2013. "Sudden Unintended Used‐Price Deceleration? The 2009–2010 Toyota Recalls," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(1), pages 78-100, March.
    10. Caio Machado, 2024. "Coordinating in Financial Crises," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 54, October.
    11. Ayelet Israeli & Fiona Scott-Morton & Jorge Silva-Risso & Florian Zettelmeyer, 2022. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships," Management Science, INFORMS, vol. 68(2), pages 895-916, February.
    12. Latino, Carmelo & Pelizzon, Loriana & Riedel, Max, 2023. "How to green the European Auto ABS market? A literature survey," SAFE Working Paper Series 391, Leibniz Institute for Financial Research SAFE.
    13. Robert L. Bray & Haim Mendelson, 2015. "Production Smoothing and the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 208-220, May.
    14. Kristiaan Kerstens & Ignace Van de Woestyne, 2021. "Cost functions are nonconvex in the outputs when the technology is nonconvex: convexification is not harmless," Annals of Operations Research, Springer, vol. 305(1), pages 81-106, October.
    15. Adam Copeland, 2014. "Intertemporal substitution and new car purchases," RAND Journal of Economics, RAND Corporation, vol. 45(3), pages 624-644, September.
    16. Chuang, Chia-Hung & Zhao, Yabing, 2019. "Demand stimulation in finished-goods inventory management: Empirical evidence from General Motors dealerships," International Journal of Production Economics, Elsevier, vol. 208(C), pages 208-220.
    17. Adam Copeland & George Hall & Louis J. Maccini, 2019. "Interest Rates and the Market for New Light Vehicles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1137-1168, August.
    18. Adam Copeland & James Kahn, 2013. "The Production Impact Of “Cash-For-Clunkers”: Implications For Stabilization Policy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 288-303, January.
    19. Šustek, Roman, 2011. "Plant-level nonconvex output adjustment and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 400-414.
    20. Piga, Claudio A. & Gaggero, Alberto A. & Alderighi, Marco, 2025. "Demand-shock characteristics and pricing behavior: A natural experiment from UEFA Euro 2016," Economics of Transportation, Elsevier, vol. 41(C).
    21. James Kahn & Adam Copeland, 2012. "Durable Goods Production and Inventory Dynamics: An Application to the Automobile Industry," 2012 Meeting Papers 270, Society for Economic Dynamics.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

    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:wly:japmet:v:26:y:2011:i:2:p:232-269. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.