IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212607.html
   My bibliography  Save this paper

An Analysis of Meat Demand in Argentina using Household Survey Data

Author

Listed:
  • Pace Guerrero, Ignacio
  • Berges, Miriam
  • Casellas, Karina

Abstract

This paper presents an empirical analysis of demand for meat using micro data from three household surveys conducted over the last two decades in Argentina. We present an estimation of a complete demand system for meat using a Quadratic AIDS model. Data of the three household surveys are used: 1996/97, 2004/05 and 2012/13. The Shonkwiler and Yen (1999) methodology is used to correct selection bias and endogeneity of the total expenditure is corrected using instrumental variables. Quality-adjusted prices were obtained following Cox and Wohlgenant methods (1986). Expenditure and price elasticities (compensated and uncompensated), for each period were obtained. We found that beef is the relatively most inelastic good with a higher elasticity observed in the last years. Poultry price elasticity decline 50% and the demand of pork has changed from relatively inelastic to elastic. Poultry appears as the main substitute for all types of meat.

Suggested Citation

  • Pace Guerrero, Ignacio & Berges, Miriam & Casellas, Karina, 2015. "An Analysis of Meat Demand in Argentina using Household Survey Data," 2015 Conference, August 9-14, 2015, Milan, Italy 212607, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:212607
    DOI: 10.22004/ag.econ.212607
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212607/files/Pace%20Guerrero-An%20Analysis%20of%20Meat%20Demand%20in%20Argentina%20using%20Household%20Survey%20Data-1188.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.212607?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. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    2. Gustavo Rossini & Edith Depetris Guiguet & Rogelio Villanueva, 2008. "Estimación de elasticidades de Diferentes productos lácteos en las provincias de Santa Fe y Entre Ríos," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 46(1), pages 31-44, Junio.
    3. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    4. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    5. Wales, T J & Woodland, A D, 1980. "Sample Selectivity and the Estimation of Labor Supply Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 437-468, June.
    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. Pace Guerrero, Ignacio & Berges, Miriam & Casellas, Karina, 2015. "An analysis of meat demand in Argentina using household survey data," Nülan. Deposited Documents 2316, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    2. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
    3. Chanjin Chung, 2006. "Quality bias in price elasticity," Applied Economics Letters, Taylor & Francis Journals, vol. 13(4), pages 241-245.
    4. 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.
    5. 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.
    6. Boonsaeng, Tullaya & Carpio, Carlos E., 2019. "A Comparison of Food Demand Estimation from Homescan and Consumer Expenditure Survey Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(1), January.
    7. Nur-tegin Kanybek D, 2008. "Determinants of Business Tax Compliance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-28, July.
    8. Diansheng Dong & Brian W. Gould, 2000. "Quality versus quantity in Mexican household poultry and pork purchases," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 333-355.
    9. Harald Tauchmann, 2005. "Efficiency of two-step estimators for censored systems of equations: Shonkwiler and Yen reconsidered," Applied Economics, Taylor & Francis Journals, vol. 37(4), pages 367-374.
    10. Moz-Christofoletti, Maria Alice & Pereda, Paula Carvalho, 2021. "Distributional welfare and emission effects of energy tax policies in Brazil," Energy Economics, Elsevier, vol. 104(C).
    11. Moz-Christofoletti, Maria Alice & Pereda, Paula Carvalho, 2021. "Winners and losers: the distributional impacts of a carbon tax in Brazil," Ecological Economics, Elsevier, vol. 183(C).
    12. Gould, Brian W. & Dong, Diansheng, 2004. "Product Quality And The Demand For Food: The Case Of Urban China," 2004 Annual meeting, August 1-4, Denver, CO 20010, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    14. 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.
    15. C鳡r E. Castell & Tullaya Boonsaeng & Carlos E. Carpio, 2015. "Demand system estimation in the absence of price data: an application of Stone-Lewbel price indices," Applied Economics, Taylor & Francis Journals, vol. 47(6), pages 553-568, February.
    16. Stewart, Hayden & Blisard, Noel, 2006. "Household versus Community Effects: Who Really Pays More for Food?," 2006 Annual meeting, July 23-26, Long Beach, CA 21053, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. 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.
    18. Alfons Oude Lansink & Geert Thijssen, 1998. "Testing among functional forms: an extension of the Generalized Box-Cox formulation," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1001-1010.
    19. Yen, Steven T. & Huang, Chung L., 1996. "Household Demand For Finfish: A Generalized Double-Hurdle Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-15, December.
    20. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.

    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:iaae15:212607. 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/iaaeeea.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.