IDEAS home Printed from https://ideas.repec.org/p/ags/aaea05/19137.html
   My bibliography  Save this paper

Demand System Analysis With Emphasis On Container Sizes Of Non-Alcoholic Beverages

Author

Listed:
  • Stockton, Matthew C.
  • Capps, Oral, Jr.

Abstract

A demand system that includes five different beverages of various container sizes was estimated using a Censor Corrected Almost Ideal Demand System (CAIDS). Resulting elasticities provide information about intra-product relationships (same product but different sizes), intra-size relationships (different products same container size), and inter-product relationships (different products and different sizes).

Suggested Citation

  • Stockton, Matthew C. & Capps, Oral, Jr., 2005. "Demand System Analysis With Emphasis On Container Sizes Of Non-Alcoholic Beverages," 2005 Annual meeting, July 24-27, Providence, RI 19137, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea05:19137
    DOI: 10.22004/ag.econ.19137
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19137/files/sp05st02.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.19137?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
    ---><---

    References listed on IDEAS

    as
    1. Herrmann, Roland & Roeder, Claudia, 1998. "Some neglected issues in food demand analysis: retail-level demand, health information and product quality," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-27.
    2. Gould, Brian W. & Cox, Thomas L. & Perali, Carlo Federico, 1990. "The Demand For Fluid Milk Products In The U.S.: A Demand Systems Approach," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-12, July.
    3. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    4. Steven T. Yen & Biing-Hwan Lin & David M. Smallwood, 2003. "Quasi- and Simulated-Likelihood Approaches to Censored Demand Systems: Food Consumption by Food Stamp Recipients in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 458-478.
    5. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    6. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    7. Schmit, Todd M. & Chung, Chanjin & Dong, Diansheng & Kaiser, Harry M. & Gould, Brian W., 2001. "Identifying the Extensive and Intensive Effects of Generic Advertising on the Household Demand for Fluid Milk and Cheese," Research Bulletins 122642, Cornell University, Department of Applied Economics and Management.
    8. Oral Capps & H. Alan Love, 2002. "Econometric Considerations in the Use of Electronic Scanner Data to Conduct Consumer Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 807-816.
    9. Randolph E. Bucklin & Sunil Gupta, 1999. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives," Marketing Science, INFORMS, vol. 18(3), pages 247-273.
    10. Park, Changwon & Senauer, Benjamin, 1996. "Estimation Of Household Brand-Size Choice Models For Spaghetti Products With Scanner Data," Working Papers 14336, University of Minnesota, The Food Industry Center.
    11. Maynard, Leigh J. & Liu, Deyu, 1999. "Fragility In Dairy Product Demand Analysis," 1999 Annual meeting, August 8-11, Nashville, TN 21679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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. Abdulfatah Sheikhbihi Adam & Sinne Smed, 2012. "The effects of different types of taxes on soft-drink consumption," IFRO Working Paper 2012/9, University of Copenhagen, Department of Food and Resource Economics, revised Nov 2012.
    2. Shewmake, Sharon & Okrent, Abigail & Thabrew, Lanka & Vandenbergh, Michael, 2015. "Predicting consumer demand responses to carbon labels," Ecological Economics, Elsevier, vol. 119(C), pages 168-180.

    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. Stockton, Matthew C., 2005. "A Demand System Analysis With Emphasis On Container Size Of Fluid Milk," A.E. Research Series 305036, University of Idaho, Department of Agricultural Economics and Rural Sociology.
    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. Tafere, Kibrom & Taffesse, Alemayehu Seyoum & Tamru, Seneshaw & Tefera, Nigussie & Paulos, Zelekawork, 2011. "Food demand elasticities in Ethiopia: Estimates using household income consumption expenditure (HICE) survey data," ESSP working papers 11, International Food Policy Research Institute (IFPRI).
    4. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    5. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    6. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-26, February.
    7. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    8. Caro, Juan Carlos & Ng, Shu Wen & Taillie, Lindsey Smith & Popkin, Barry M., 2017. "Designing a tax to discourage unhealthy food and beverage purchases: The case of Chile," Food Policy, Elsevier, vol. 71(C), pages 86-100.
    9. Julia Bronnmann & Stefan Guettler & Jens-Peter Loy, 2019. "Efficiency of correction for sample selection in QUAIDS models: an example for the fish demand in Germany," Empirical Economics, Springer, vol. 57(4), pages 1469-1493, October.
    10. Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
    11. Javier García-Enríquez & Cruz A. Echevarría, 2016. "Consistent Estimation of a Censored Demand System and Welfare Analysis: The 2012 VAT Reform in Spain," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 324-347, June.
    12. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    13. Traore, Togo M. & Fields, Deacue, 2016. "Households Demand for Staple Cereal Commodities in Burkina Faso," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229989, Southern Agricultural Economics Association.
    14. Richard Ochmann, 2014. "Differential income taxation and household asset allocation," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 880-894, March.
    15. Luigi Cembalo & Francesco Caracciolo & Eugenio Pomarici, 2014. "Drinking cheaply: the demand for basic wine in Italy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), pages 374-391, July.
    16. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    17. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    18. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    19. Dey, Madan Mohan & Garcia, Yolanda T. & Kumar, Praduman & Piumsombun, Somying & Haque, Muhammad Sirajul & Li, Luping & Radam, Alias & Senaratne, Athula & Khiem, Nguyen Tri & Koeshendrajana, Sonny, 2008. "Demand for fish in Asia: a cross-country analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-18.
    20. Jay Lillywhite & Paul Preckel & James Eales, 2008. "Maintaining parameter invariance in seemingly unrelated regressions estimation," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 405-409.

    More about this item

    Keywords

    Demand and Price Analysis;

    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:aaea05:19137. 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.