IDEAS home Printed from https://ideas.repec.org/p/ags/aaea20/304511.html
   My bibliography  Save this paper

The differential impact of SSB taxation over time and by income: Evidence from Nielsen Homescan and Retail Data

Author

Listed:
  • Barker, Abigail R.
  • Mazzucca, Stephanie

Abstract

No abstract is available for this item.

Suggested Citation

  • Barker, Abigail R. & Mazzucca, Stephanie, 2020. "The differential impact of SSB taxation over time and by income: Evidence from Nielsen Homescan and Retail Data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304511, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea20:304511
    DOI: 10.22004/ag.econ.304511
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/304511/files/18977.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.304511?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. Marc Nerlove & William Addison, 1958. "Statistical Estimation of Long-Run Elasticities of Supply and Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 40(4), pages 861-880.
    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. Wallace, Henry N. & Carman, Hoy F., 1979. "A Simulation Model of United States Sugar Beet Acreage Response," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278273, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Phillips, Mark & Hueth, Darrell L. & Just, Richard E., 1989. "Estimating Cost of Banning Agricultural Chemicals: The Case of Maneb and Maneb Alternatives," Working Papers 197631, University of Maryland, Department of Agricultural and Resource Economics.
    3. Torok, Steven John, 1982. "International trade in commodities and labor: the case of the importation of Mexican agricultural labor and fresh market winter tomatoes into the US, 1964-1979," ISU General Staff Papers 198201010800008550, Iowa State University, Department of Economics.
    4. Marsh, John M. & Brester, Gary W., 2004. "Wholesale-Retail Marketing Margin Behavior in the Beef and Pork Industries," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(1), pages 1-20, April.
    5. Rickard, Bradley J. & Gonsalves, Jana L., 2008. "How would compliance with dietary recommendations affect revenues for agricultural producers?," Food Policy, Elsevier, vol. 33(5), pages 422-433, October.
    6. Diebold, Francis X. & Lamb, Russell L., 1997. "Why are estimates of agricultural supply response so variable?," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 357-373.
    7. Rickard, Bradley J. & Lei, Lei, 2010. "How important are sanitary and phytosanitary barriers in international markets for fresh fruit?," Working Papers 126974, Cornell University, Department of Applied Economics and Management.
    8. Mathias, Wakulira, 2009. "Factors Influencing Hulling Of Coffee Among Farmers In Masaka District, Uganda," Research Theses 117798, Collaborative Masters Program in Agricultural and Applied Economics.
    9. Shumway, C. Richard, 1986. "Supply Relationships In The South - What Have We Learned?," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(1), pages 1-9, July.
    10. Fajar, Muhammad & Winarti, Yuyun Guna, 2020. "Modeling of Big Chili Supply Response Using Bayesian Method," MPRA Paper 106098, University Library of Munich, Germany, revised 21 Dec 2020.
    11. Conner, J. Richard & Mathis, William Kary & Wilson, Robert R., 1969. "Evaluating Incentive Payment Programs Through Aggregate Production Response: The Case Of Mohair," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 1, pages 1-10, December.
    12. Marsh, John M., 1999. "Economic Factors Determining Changes In Dressed Weights Of Live Cattle And Hogs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-14, December.
    13. McClements, L.D., 1968. "A Quarterly Econometric Model of Pig Supply," Bulletins 232763, University of Manchester, School of Economics, Agricultural Economics Department.
    14. Shengying Zhai & Qihui Chen & Wenxin Wang, 2019. "What Drives Green Fodder Supply in China?—A Nerlovian Analysis with LASSO Variable Selection," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    15. Duffield, James A., 1990. "Estimating Farm Labor Elasticities To Analyze The Effects Of Immigration Reform," Staff Reports 278270, United States Department of Agriculture, Economic Research Service.
    16. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    17. Dahlgran, Roger A., 1981. "Dairy Marketing And Policy Analysis: A Critical Review Of Recent Empirical Studies," Department of Economics and Business - Archive 259651, North Carolina State University, Department of Economics.
    18. Sexauer, Benjamin, 1976. "A Monthly Analysis Of Consumer Demand In The United States," Staff Papers 13419, University of Minnesota, Department of Applied Economics.
    19. Mundlak, Yair, 1985. "The Aggregate Agricultural Supply," Working Papers 232646, Hebrew University of Jerusalem, Center for Agricultural Economic Research.
    20. Anbes Tenaye, 2020. "New Evidence Using a Dynamic Panel Data Approach: Cereal Supply Response in Smallholder Agriculture in Ethiopia," Economies, MDPI, vol. 8(3), pages 1-24, July.

    More about this item

    Keywords

    Agricultural Finance; Production Economics; Risk and Uncertainty;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaea20:304511. 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.