IDEAS home Printed from https://ideas.repec.org/p/ags/aaea04/19969.html
   My bibliography  Save this paper

Samuelson'S Full Duality And The Use Of Directed Acyclical Graphs: The Birth Of Causally Identified Demand Systems

Author

Listed:
  • Stockton, Matthew C.
  • Capps, Oral, Jr.
  • Bessler, David A.

Abstract

To date, mixed demand systems have been all but ignored in empirical work. A possible reason for the scarcity of such applications is that one needs to know a priori which prices and quantities are endogenous in the mixed demand system. By using a directed acyclical graph (DAG), causal relationships among price and quantity variables are identified giving rise to a causally identified demand system (CIDS). A statistical comparison is made of the traditional Rotterdam model with a Rotterdam mixed demand system identified through the use of a DAG. In this analysis, the respective Rotterdam demand systems consist of five products: steak, ground beef, roast beef, pork, and chicken.

Suggested Citation

  • Stockton, Matthew C. & Capps, Oral, Jr. & Bessler, David A., 2004. "Samuelson'S Full Duality And The Use Of Directed Acyclical Graphs: The Birth Of Causally Identified Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 19969, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:19969
    DOI: 10.22004/ag.econ.19969
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19969/files/sp04st03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.19969?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. Giancarlo Moschini & Vissa Anuradha, 1993. "Flexible Specification of Mixed Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 1-9.
    2. Oral Capps, 1989. "Utilizing Scanner Data to Estimate Retail Demand Functions for Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 750-760.
    3. Chavas, Jean-Paul, 1984. "The theory of mixed demand functions," European Economic Review, Elsevier, vol. 24(3), pages 321-344, April.
    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. Hjertstrand, Per, 2022. "Nonparametric Analysis of the Mixed-Demand Model," Working Paper Series 1430, Research Institute of Industrial Economics.
    2. Jones, Eugene, 2014. "An Empirical Assessment of Consumers’ Preferences for Coffee," Journal of Food Distribution Research, Food Distribution Research Society, vol. 45(2), pages 1-26, July.
    3. Marchini, Andrea & Diotallevi, Francesco & Fioriti, Linda, 2011. "The analysis of competitive interdependencies through “Social Network Analysis”: the case study of extra-virgin olive oil," MPRA Paper 41468, University Library of Munich, Germany, revised 2011.
    4. Moschini, G. & Moro, D., 1993. "A Food demand System for Canada," Papers 1-93, Gouvernement du Canada - Agriculture Canada.
    5. Olivier Donni & Nicolas Moreau, 2007. "Collective Labor Supply: A Single-Equation Model and Some Evidence from French Data," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    6. Schroeder, Ted C. & Lusk, Jayson L., 2002. "Effects of Meat Recalls on Futures Market Prices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), pages 1-12, April.
    7. Wilson, Christine A. & Marsh, Thomas L., 2005. "The Impacts Of Demographics And Health Information On Meat Demand," Staff Papers 28671, Purdue University, Department of Agricultural Economics.
    8. Capps, Oral, Jr. & Lambregts, Johannes Adrianus, 1991. "Assessing Effects Of Prices And Advertising On Purchases Of Finfish And Shellfish In A Local Market In Texas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(1), pages 1-14, July.
    9. Giancarlo Moschini & Vissa Anuradha, 1993. "Flexible Specification of Mixed Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 1-9.
    10. Cotterill, Ronald W., 1994. "Scanner Data: New Opportunities For Demand And Competitive Strategy Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(2), pages 1-15, October.
    11. Ebert, Udo, 2001. "A general approach to the evaluation of nonmarket goods," Resource and Energy Economics, Elsevier, vol. 23(4), pages 373-388, October.
    12. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44, January.
    13. 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.
    14. Färe, Rolf & Grosskopf, Shawna & Hayes, Kathy J. & Margaritis, Dimitris, 2008. "Estimating demand with distance functions: Parameterization in the primal and dual," Journal of Econometrics, Elsevier, vol. 147(2), pages 266-274, December.
    15. Gould, Brian W., 1995. "Factors Affecting U.S. Demand For Reduced-Fat Milk," Staff Papers 12646, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    16. Herrmann, Roland & Moser, Anke, 2003. "Price Variability Or Rigidity In The Food-Retailing Sector? Theoretical Analysis And Evidence From German Scanner Data," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25867, International Association of Agricultural Economists.
    17. Leister, Amanda M. & Capps, Oral, Jr. & Rosson, C. Parr, III, 2010. "The Economic Effects of New-Product Beef Promotion in Guatemala," Journal of Food Distribution Research, Food Distribution Research Society, vol. 41(2), pages 1-11, July.
    18. AOUINI, Syrine & Gil, Jose M., 2017. "Innovation and Brand Effects on the Consumers’ Demand for Fresh Milk in Spain," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258131, Agricultural and Applied Economics Association.
    19. Elliott, Mike & van Zyl, Johan, 1991. "Scanner Data Analysis With Specific Reference To The South African Carbohydrate Market," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 30(2), June.
    20. Carlos Arnade & Fred Kuchler & Linda Calvin, 2016. "The changing role of consumers and suppliers in a food safety event: the 2006 foodborne illness outbreak linked to spinach," Applied Economics, Taylor & Francis Journals, vol. 48(25), pages 2354-2366, May.

    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:aaea04:19969. 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.