IDEAS home Printed from https://ideas.repec.org/a/bes/jnlbes/v20y2002i2p213-26.html
   My bibliography  Save this article

Collective Decision-Making and Heterogeneity in Tastes

Author

Listed:
  • Luo, Guo Ying

Abstract

This article begins by proposing a random taste parameterization of a quadratic extension of the PIGLOG demand system at the household level, which is consistent with exact aggregation. This variation in tastes is a random function of household characteristics. The econometric implication is that a well-defined heteroscedastic error enters the demand system. This heteroscedasticity can be handled by a GMM technique. Using a large Canadian cross-sectional household data set and the Quadratic Almost Ideal Demand System, homoscedasticity is rejected; however, when heteroscedasticity is allowed for, there are no longer inconsistencies between the theoretical and empirical evidence, particularly with respect to the collective decision-making properties of homogeneity, SR1 symmetry, and distribution factor proportionality and linearity.

Suggested Citation

  • Luo, Guo Ying, 2002. "Collective Decision-Making and Heterogeneity in Tastes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 213-226, April.
  • Handle: RePEc:bes:jnlbes:v:20:y:2002:i:2:p:213-26
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Donni, Olivier & Molina, José Alberto, 2018. "Household Collective Models: Three Decades of Theoretical Contributions and Empirical Evidence," IZA Discussion Papers 11915, Institute of Labor Economics (IZA).
    2. Chiappori, Pierre-André & Donni, Olivier, 2009. "Non-unitary Models of Household Behavior: A Survey of the Literature," IZA Discussion Papers 4603, Institute of Labor Economics (IZA).
    3. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    4. Michael Fesseha Yohannes & Toshinobu Matsuda, 2016. "Weather Effects on Household Demand for Coffee and Tea in Japan," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 33-44, January.
    5. Waddell, Glen R. & Lee, Logan M., 2014. "The Timing of Preference and Prejudice in Sequential Hiring Games," IZA Discussion Papers 8445, Institute of Labor Economics (IZA).
    6. Chiappori, Pierre-André & Donni, Olivier, 2006. "Les modèles non unitaires de comportement du ménage : un survol de la littérature," L'Actualité Economique, Société Canadienne de Science Economique, vol. 82(1), pages 9-52, mars-juin.
    7. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    8. Lee, Logan M. & Waddell, Glen R., 2021. "Diversity and the timing of preference in hiring decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 432-459.
    9. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.

    More about this item

    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:bes:jnlbes:v:20:y:2002:i:2:p:213-26. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main .

    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.