IDEAS home Printed from https://ideas.repec.org/a/bpj/bjafio/v6y2008i1n1.html
   My bibliography  Save this article

Demand and Pricing in the U.S. Margarine Industry

Author

Listed:
  • Kim Donghun

    (International University of Japan)

Abstract

This paper provides estimates of U.S. demand for margarine and price-cost margins. Demand is estimated using a mixed logit model, which provides a flexible substitution pattern among products. We find that product characteristics, such as nutrient facts, package size and product forms, and household income and age composition are important determinants of demand for margarine. The estimated product-level price elasticities, which are defined as the percent change in market share corresponding to a one percent change in price, range from -1.85 to -6.34, while the cross-price elasticities vary from 0.01 to 0.98. The estimated price-cost margins vary from 28 percent to 58 percent depending on the assumption of industry conduct.

Suggested Citation

  • Kim Donghun, 2008. "Demand and Pricing in the U.S. Margarine Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 6(1), pages 1-19, March.
    • Handle: RePEc:bpj:bjafio:v:6:y:2008:i:1:n:1
    DOI: 10.2202/1542-0485.1211
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1542-0485.1211
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/1542-0485.1211?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. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    2. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    3. Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
    4. Trajtenberg, Manuel, 1989. "The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 444-479, April.
    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. Shinn‐Shyr Wang & Kyle W. Stiegert & Tirtha P. Dhar, 2010. "Strategic Pricing Behavior under Asset Value Maximization," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 151-170, June.
    2. Xiao Meng & Edward C. Jaenicke, 2021. "Welfare analysis of introducing private label packaged salads into the US market," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 650-664, July.

    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. Federico Ciliberto & GianCarlo Moschini & Edward D. Perry, 2019. "Valuing product innovation: genetically engineered varieties in US corn and soybeans," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 615-644, September.
    2. Lucarelli, Claudio & Nicholson, Sean & Tilipman, Nicholas, 2022. "Price Indices and the Value of Innovation with Heterogenous Patients," Journal of Health Economics, Elsevier, vol. 84(C).
    3. Weifang Lou, 2009. "Estimating the Impact of a Potential Process Innovation and the Optimal Strategy of Licensing," Working Papers 2009.03, School of Economics, La Trobe University.
    4. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    5. 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.
    6. Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc.
    7. Xiao, Wei, 2008. "The Competitive and Welfare Effects of New Product Introduction: The Case of Crystal Pepsi," Research Reports 149938, University of Connecticut, Food Marketing Policy Center.
    8. Baek, Ji Sun, 2016. "Effect of the Introduction of High-speed Trains on Consumer Welfare," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 38(1), pages 23-52.
    9. Badruddoza, Syed & Amin, Modhurima & McCluskey, Jill, 2019. "Assessing the Importance of an Attribute in a Demand SystemStructural Model versus Machine Learning," Working Papers 2019-5, School of Economic Sciences, Washington State University.
    10. Minjae Song, 2007. "Measuring consumerwelfareinthe CPU market: anapplication of the pure-characteristics demand model," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 429-446, June.
    11. Christos Genakos & Kai‐Uwe Kühn & John Van Reenen, 2018. "Leveraging Monopoly Power by Degrading Interoperability: Theory and Evidence from Computer Markets," Economica, London School of Economics and Political Science, vol. 85(340), pages 873-902, October.
    12. Amil Petrin & Kenneth Train, 2003. "Omitted Product Attributes in Discrete Choice Models," NBER Working Papers 9452, National Bureau of Economic Research, Inc.
    13. Duch-Brown, Néstor & Grzybowski, Lukasz & Romahn, André & Verboven, Frank, 2017. "The impact of online sales on consumers and firms. Evidence from consumer electronics," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 30-62.
    14. Goolsbee Austan, 2006. "The Value of Broadband and the Deadweight Loss of Taxing New Technology," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-31, April.
    15. Lee Branstetter & Chirantan Chatterjee & Matthew J. Higgins, 2016. "Regulation and welfare: evidence from paragraph IV generic entry in the pharmaceutical industry," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 857-890, November.
    16. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-23, January.
    17. Robert Clark & Yiran Gong, 2021. "Why Do Some New Products Fail? Evidence from the Entry and Exit of Vanilla Coke," Working Paper 1475, Economics Department, Queen's University.
    18. Hunt Allcott & Charlie Rafkin, 2020. "Optimal Regulation of E-cigarettes: Theory and Evidence," NBER Working Papers 27000, National Bureau of Economic Research, Inc.
    19. Stoneman, Paul, 2011. "Soft Innovation: Economics, Product Aesthetics, and the Creative Industries," OUP Catalogue, Oxford University Press, number 9780199697021, Decembrie.
    20. C. Lanier Benkard & Patrick Bajari, 2004. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Working Papers 10278, National Bureau of Economic Research, Inc.

    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:bpj:bjafio:v:6:y:2008:i:1:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.