IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v29y2002i1p85-104.html
   My bibliography  Save this article

Beverage consumption among US children and adolescents: full-information and quasi maximum-likelihood estimation of a censored system

Author

Listed:
  • Steven T. Yen

Abstract

Milk, soft drink and juice consumption is investigated for children and adolescents in the USA. Full-information maximum likelihood estimator (FIML) and parsimonious quasi maximum-likelihood (QML) alternative are used to estimate a censored system of beverage equations. The QML estimator is found to be an acceptable alternative to the FIML estimator for the empirical application considered. We find displacement of milk by soft drinks as a child or adolescent grows older. Income, TV watching, gender, race, and other demographic variables also play significant roles in determining beverage consumption. Copyright 2002, Oxford University Press.

Suggested Citation

  • Steven T. Yen, 2002. "Beverage consumption among US children and adolescents: full-information and quasi maximum-likelihood estimation of a censored system," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 85-104, March.
    • Handle: RePEc:oup:erevae:v:29:y:2002:i:1:p:85-104
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Oliveira, Victor, 2007. "Informing Food and Nutrition Assistance Policy: 10 Years of Research at ERS," Miscellaneous Publications 262274, United States Department of Agriculture, Economic Research Service.
    2. Pofahl, Geoffrey M. & Capps, Oral, Jr. & Clauson, Annette L., 2005. "Demand for Non-Alcoholic Beverages: Evidence From The ACNielsen Home Scan Panel," 2005 Annual meeting, July 24-27, Providence, RI 19441, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    4. repec:lic:licosd:28011 is not listed on IDEAS
    5. Erik Nelson & John Fitzgerald & Nathan Tefft, 2019. "The distributional impact of a green payment policy for organic fruit," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-25, February.
    6. Gould, Brian W. & Yen, Steven T., 2002. "Food Demand In Mexico: A Quasi-Maximum Likelihood Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19667, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Yen, Steven T. & Yuan, Yan & Liu, Xiaowen, 2009. "Alcohol consumption by men in China: A non-Gaussian censored system approach," China Economic Review, Elsevier, vol. 20(2), pages 162-173, June.
    8. Aminou Arouna & Stephan Dabbert, 2010. "Determinants of Domestic Water Use by Rural Households Without Access to Private Improved Water Sources in Benin: A Seemingly Unrelated Tobit Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1381-1398, May.
    9. Mishra, Ashok K. & Chang, Hung-Hao, 2012. "Can off farm employment affect the privatization of social safety net? The case of self-employed farm households," Food Policy, Elsevier, vol. 37(1), pages 94-101.
    10. Yu, Lingling & Hailu, Getu, 2010. "Household Demand for Convenience Chicken Meat Products in Canada," Consumer and Market Demand Network Papers 310299, University of Alberta, Department of Resource Economics and Environmental Sociology.
    11. Stewart, Hayden & Yen, Steven T., 2004. "Changing household characteristics and the away-from-home food market: a censored equation system approach," Food Policy, Elsevier, vol. 29(6), pages 643-658, December.
    12. Fezzi, Carlo & Bateman, Ian J., 2009. "Structural Agricultural Land Use Modelling," 2009 Conference, August 16-22, 2009, Beijing, China 51423, International Association of Agricultural Economists.
    13. Wechsler, Seth J. & McFadden, Jonathan R. & Smith, David J., 2016. "Into the Weeds: A Structural Model of Herbicide Demand and Glyphosate Resistance on U.S. Corn Farms," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235998, Agricultural and Applied Economics Association.
    14. Steven T. Yen & Biing‐Hwan Lin, 2008. "Quasi‐maximum likelihood estimation of a censored equation system with a copula approach: meat consumption by U.S. individuals," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 207-217, September.
    15. Cihat Günden & Abdulbaki Bilgic & Bülent Miran & Bahri Karli, 2011. "A censored system of demand analysis to unpacked and prepackaged milk consumption in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1273-1290, October.

    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:oup:erevae:v:29:y:2002:i:1:p:85-104. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.