IDEAS home Printed from https://ideas.repec.org/p/ags/aaea01/20517.html
   My bibliography  Save this paper

Estimation of Price Elasticities from Cross-Sectional Data

Author

Listed:
  • Chung, Chanjin
  • Dong, Diansheng
  • Kaiser, Harry M.
  • Schmit, Todd M.

Abstract

This study develops an empirical framework that can be used to estimate quality-adjusted price elasticities from cross-sectional data, which are theoretically consistent and comparable to elasticities from time-series data. The new approach shows the importance of properly adjusting for quality variation in demand analysis.

Suggested Citation

  • Chung, Chanjin & Dong, Diansheng & Kaiser, Harry M. & Schmit, Todd M., 2001. "Estimation of Price Elasticities from Cross-Sectional Data," 2001 Annual meeting, August 5-8, Chicago, IL 20517, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea01:20517
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/20517
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    2. Goldman, Fred & Grossman, Michael, 1978. "The Demand for Pediatric Care: An Hedonic Approach," Journal of Political Economy, University of Chicago Press, vol. 86(2), pages 259-280, April.
    3. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    4. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    5. 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.
    6. 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.
    7. 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.
    8. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    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. repec:spr:agfoec:v:2:y:2014:i:1:p:1-27 is not listed on IDEAS
    2. Haoatai, Heinarii & Monypenny, Richard, 2011. "Export demand for Tahitian black pearls," Australasian Agribusiness Review, University of Melbourne, Melbourne School of Land and Environment, vol. 19.
    3. Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
    4. repec:spr:hecrev:v:2:y:2014:i:1:p:1-27 is not listed on IDEAS
    5. Thiele, Silke, 2008. "Elastizitäten der Nachfrage privater Haushalte nach Nahrungsmitteln – Schätzung eines AIDS auf Basis der Einkommens- und Verbrauchsstichprobe 2003," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(5).

    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:aaea01:20517. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.