IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/150387.html
   My bibliography  Save this paper

Testing Hicksian Separability Over Space

Author

Listed:
  • Gibson, John
  • Kim, Bonggeun

Abstract

If relative prices of goods within a commodity group are constant, Hicksian separability lets the price of a single good represent the group price level. This is relied on by designers of price questionnaires used in household surveys and by methods of estimating demand systems from household survey data. A survey from Vietnam with multiple specifications from within the same food groups clearly shows that within-group relative prices are not constant over space.

Suggested Citation

  • Gibson, John & Kim, Bonggeun, 2013. "Testing Hicksian Separability Over Space," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150387, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:150387
    DOI: 10.22004/ag.econ.150387
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/150387/files/Gibson_Kim_Poster_AgEcon_Search.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.150387?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    2. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    3. Frank Asche & Helge Bremnes & Cathy R. Wessells, 1999. "Product Aggregation, Market Integration, and Relationships between Prices: An Application to World Salmon Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 568-581.
    4. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    5. McKelvey, Christopher, 2011. "Price, unit value, and quality demanded," Journal of Development Economics, Elsevier, vol. 95(2), pages 157-169, July.
    6. Borcherding, Thomas E & Silberberg, Eugene, 1978. "Shipping the Good Apples Out: The Alchian and Allen Theorem Reconsidered," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 131-138, February.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    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. Gibson, John & Kim, Bonggeun, 2013. "Quality, Quantity, and Nutritional Impacts of Rice Price Changes in Vietnam," World Development, Elsevier, vol. 43(C), pages 329-340.

    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. Gibson, John & Kim, Bonggeun, 2015. "Hicksian separability does not hold over space: Implications for the design of household surveys and price questionnaires," Journal of Development Economics, Elsevier, vol. 114(C), pages 34-40.
    2. Mabel Andalon & John Gibson, 2017. "The 'Soda Tax' is Unlikely to Make Mexicans Lighter: New Evidence on Biases in Elasticities of Demand for Soda," Working Papers in Economics 17/07, University of Waikato.
    3. Li, Wenying & Zhen, Chen, 2017. "A Reassessment of Product Aggregation Bias in Demand Analysis: An Application to the U.S. Meat Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258197, Agricultural and Applied Economics Association.
    4. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Bairagi, Subir & Mohanty, Samarendu & Baruah, Sampriti & Trinh Thi, Huong, 2020. "Changing food consumption patterns in rural and urban Vietnam: Implications for a future food supply system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    6. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    7. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    8. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    9. Andalón, Mabel & Gibson, John, 2018. "The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda," MPRA Paper 86370, University Library of Munich, Germany.
    10. Qinghua Liu & C. Richard Shumway, 2004. "Testing aggregation consistency across geography and commodities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 463-486, September.
    11. 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).
    12. Subir Bairagi & Samarendu Mohanty & Sampriti Baruah & Huong Trinh Thi, 2020. "Changing food consumption patterns in rural and urban Vietnam: Implications for a future food supply system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 750-775, July.
    13. Gibson, John & Kim, Bonggeun, 2019. "Quality, quantity, and spatial variation of price: Back to the bog," Journal of Development Economics, Elsevier, vol. 137(C), pages 66-77.
    14. Gilles Quentin Kane & Gwladys Laure Mabah Tene & Jean-Joël Ambagna & Isabelle Piot-Lepetit & Fondo Sikod, 2015. "The impact of food price volatility on consumer welfare in Cameroon," Working Papers hal-02801351, HAL.
    15. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2006. "Data Aggregation and Vertical Price Transmission: An Experiment with German Food Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25291, International Association of Agricultural Economists.
    16. Tagliati, Federico, 2022. "Welfare effects of an in-kind transfer program: Evidence from Mexico," Journal of Development Economics, Elsevier, vol. 154(C).
    17. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2003. "The Impact Of Data Aggregation On The Measurement Of Vertical Price Transmission: Evidence From German Food Prices," 2003 Annual meeting, July 27-30, Montreal, Canada 21987, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Attanasio, Orazio & Di Maro, Vincenzo & Lechene, Valérie & Phillips, David, 2013. "Welfare consequences of food prices increases: Evidence from rural Mexico," Journal of Development Economics, Elsevier, vol. 104(C), pages 136-151.
    19. McCullough, Ellen & Zhen, Chen & Shin, Soye & Lu, Meichen & Arsenault, Joanne, 2022. "The role of food preferences in determining diet quality for Tanzanian consumers," Journal of Development Economics, Elsevier, vol. 155(C).
    20. John Gibson & Alessandro Romeo, 2017. "Fiscal-Food Policies are Likely Misinformed by Biased Price Elasticities from Household Surveys: Evidence from Melanesia," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 405-416, September.

    More about this item

    Keywords

    Demand and Price Analysis; International Development; Research Methods/ Statistical Methods;
    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:aaea13:150387. 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.