IDEAS home Printed from https://ideas.repec.org/p/ags/aaea05/19351.html
   My bibliography  Save this paper

Consumer Choices and Welfare Gains from New, Healthy Products: A Virtual Price Approach

Author

Listed:
  • Huffman, Sonya Kostova
  • Ishdorj, Ariun
  • Jensen, Helen H.

Abstract

This paper models consumer food choices with respect to different margarine and spread brands that include a new healthy brand. The results show that the older and smaller size households with higher income and higher education are more likely to purchase the healthy brand. An Almost Ideal Demand System for six brands was estimated and the coefficients were used to calculate price and brand expenditure elasticities in order to examine the responsiveness of the consumers to economic variables.

Suggested Citation

  • Huffman, Sonya Kostova & Ishdorj, Ariun & Jensen, Helen H., 2005. "Consumer Choices and Welfare Gains from New, Healthy Products: A Virtual Price Approach," 2005 Annual meeting, July 24-27, Providence, RI 19351, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19351
    DOI: 10.22004/ag.econ.19351
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19351/files/sp05hu07.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.19351?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brian W. Gould, 1998. "Factors Affecting the Timing of Purchasing of Butter, Margarine, and Blends: A Competing Goods Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 793-805.
    2. Chern, Wen S & Loehman, Edna T & Yen, Steven T, 1995. "Information, Health Risk Beliefs, and the Demand for Fats and Oils," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 555-564, August.
    3. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    4. Neary, J. P. & Roberts, K. W. S., 1980. "The theory of household behaviour under rationing," European Economic Review, Elsevier, vol. 13(1), pages 25-42, January.
    5. Jerry A. Hausman, 1997. "Valuing the Effect of Regulation on New Services in Telecommunications," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1997 Micr), pages 1-54.
    6. Sonya Kostova Huffman & Stanley Johnson, 2002. "Re-evaluation of Welfare Changes during the Transition in Poland," Post-Communist Economies, Taylor & Francis Journals, vol. 14(1), pages 31-46.
    7. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1, February.
    8. 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.
    9. 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.
    10. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    11. Sonya Kostova Huffman & Stanley R. Johnson, 2004. "Impacts of Economic Reform in Poland: Incidence and Welfare Changes Within a Consistent Framework," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 626-636, May.
    12. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    13. W. Erwin Diewert, 2003. "Hedonic Regressions. A Consumer Theory Approach," NBER Chapters, in: Scanner Data and Price Indexes, pages 317-348, National Bureau of Economic Research, Inc.
    14. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    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. Huffman, Sonya Kostova & Jensen, Helen H., 2004. "Demand For Enhanced Foods And The Value Of Nutritional Enhancements Of Food: The Case Of Margarines," 2004 Annual meeting, August 1-4, Denver, CO 20205, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Rodolfo Nayga, 2001. "Effect of Schooling on Obesity: Is Health Knowledge a Moderating Factor?," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 129-137.
    3. 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.
    4. 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.
    5. Rickard Enström & Olof Netzell, 2008. "Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessibility and Rents in Downtown Stockholm," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 289-305, April.
    6. Shimshack, Jay P. & Ward, Michael B. & Beatty, Timothy K.M., 2007. "Mercury advisories: Information, education, and fish consumption," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 158-179, March.
    7. Finkelstein, Eric A. & Zhen, Chen & Bilger, Marcel & Nonnemaker, James & Farooqui, Assad M. & Todd, Jessica E., 2013. "Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered," Journal of Health Economics, Elsevier, vol. 32(1), pages 219-239.
    8. Aldrich, Lorna, 1999. "Consumer Use of Information: Implications for Food Policy," Miscellaneous Publications 330083, United States Department of Agriculture, Economic Research Service.
    9. Gian Maria Tomat, 2005. "Prices, Product Differentiation And Quality Measurement: A Comparison Between Hedonic And Matched Model Methods," Temi di discussione (Economic working papers) 547, Bank of Italy, Economic Research and International Relations Area.
    10. John Creedy, 2022. "Measuring the Welfare Gain from a New Good: An Introduction," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(3), pages 417-425, September.
    11. 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.
    12. Mitsuru Sunada, 2005. "Welfare effects of quality change and new products in the Japanese mobile telecommunications market: 1995-2001," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 715-733.
    13. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    14. Rimal, Arbindra & Balasubramanian, Siva K. & Moon, Wanki, 2004. "Two-Stage Decision Model Of Soy Food Consumption Behavior," 2004 Annual meeting, August 1-4, Denver, CO 20096, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Murali Adhikari & Laxmi Paudel & Krishna Paudel & Jack Houston & James Bukenya, 2007. "Impact of low carbohydrate information on vegetable demands in the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 939-944.
    16. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    17. Greene, David & Hossain, Anushah & Hofmann, Julia & Helfand, Gloria & Beach, Robert, 2018. "Consumer willingness to pay for vehicle attributes: What do we Know?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 258-279.
    18. Robert C. Feenstra & Christopher R. Knittel, 2009. "Reassessing the US Quality Adjustment to Computer Prices: The Role of Durability and Changing Software," NBER Chapters, in: Price Index Concepts and Measurement, pages 129-160, National Bureau of Economic Research, Inc.
    19. Thomas W. Quan & Kevin R. Williams, 2017. "Product Variety, Across-Market Demand Heterogeneity, and the Value of Online Retail," Cowles Foundation Discussion Papers 2054R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
    20. Anura Amarasinghe & Gerard D’Souza & Cheryl Brown & Hyungna Oh & Tatiana Borisova, 2009. "The Influence of Socioeconomic and Environmental Determinants on Health and Obesity: A West Virginia Case Study," IJERPH, MDPI, vol. 6(8), pages 1-17, August.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:ags:aaea05:19351. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.