IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v85y2003i3p653-669.html
   My bibliography  Save this article

Behavioral Heterogeneity and the Income Effect

Author

Listed:
  • Laurent Calvet

    (Harvard University)

  • Etienne Comon

    (Harvard University)

Abstract

Inspired by the recent literature on aggregation theory, this paper introduces HITS, a semiparametric model of consumer demand that allows for diversity in tastes. The strong variation of budget shares observed across income groups has two possible origins: the individual income effect, and taste differences between poor and rich households. Consumer surveys reporting repeated cross sections do not permit the direct measurement of these two effects. In HITS, linear heterogeneity allows the GMM estimation of structural coefficients on an aggregate series. The joint density of spending and tastes is then recovered from cross sections by a nonparametric procedure involving a deconvolution. We estimate the model on British data (1968-1998) and report that taste heterogeneity explains a large fraction of the variation of budget shares with income. © 2003 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Laurent Calvet & Etienne Comon, 2003. "Behavioral Heterogeneity and the Income Effect," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 653-669, August.
  • Handle: RePEc:tpr:restat:v:85:y:2003:i:3:p:653-669
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/003465303322369795
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Khed, V. & K.b., U., 2018. "Application of AIDS model to analyse the farm household food demand elasticity: Evidence from panel data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275899, International Association of Agricultural Economists.
    2. Chai, Andreas & Stepanova, Elena & Moneta, Alessio, 2023. "Quantifying expenditure hierarchies and the expansion of global consumption diversity," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 860-886.
    3. Arthur Lewbel & Krishna Pendakur, 2017. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
    4. Jean-Michel Grandmont, 2017. "Behavioral Heterogeneity : Pareto Distributions of Homothetic Preference Scales and Aggregate Expenditures Income Elasticities," Working Papers 2017-11, Center for Research in Economics and Statistics.
    5. Andreas Chai & Alessio Moneta, 2013. "Back to Engel? Some Evidence for the Hierarchy of Needs," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 33-59, Springer.
    6. Grinstein-Weiss, Michal & Wagner, Kristen & Ssewamala, Fred M., 2006. "Saving and asset accumulation among low-income families with children in IDAs," Children and Youth Services Review, Elsevier, vol. 28(2), pages 193-211, February.
    7. Mette Christensen, 2007. "Integrability of demand accounting for unobservable heterogeneity: a test on panel data," IFS Working Papers W07/14, Institute for Fiscal Studies.
    8. Alexander Osharin & Valery Verbus, 2018. "Heterogeneity of consumer preferences and trade patterns in a monopolistically competitive setting," Journal of Economics, Springer, vol. 125(3), pages 211-237, November.
    9. David Finck & Peter Tillmann, 2020. "Pandemic Shocks and Household Spending," MAGKS Papers on Economics 202036, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Sarantis Tsiaplias, 2021. "The Welfare Implications of Unobserved Heterogeneity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 1029-1051, December.
    11. Isabel Proenca, 2005. "A Simple Deconvolving Kernel Density Estimator when Noise is Gaussian," Econometrics 0508006, University Library of Munich, Germany.
    12. John Quah, 2006. "Weak axiomatic demand theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(3), pages 677-699, November.
    13. D'Amato, Alessio & Mancinelli, Susanna & Zoli, Mariangela, 2016. "Complementarity vs substitutability in waste management behaviors," Ecological Economics, Elsevier, vol. 123(C), pages 84-94.
    14. Andreas Chai & Nicholas Rohde & Jacques Silber, 2015. "Measuring The Diversity Of Household Spending Patterns," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 423-440, July.
    15. Koulovatianos, Christos & Schröder, Carsten & Schmidt, Ulrich, 2019. "Do demographics prevent consumption aggregates from reflecting micro-level preferences?," European Economic Review, Elsevier, vol. 111(C), pages 166-190.
    16. Murata, Yasusada, 2007. "Taste heterogeneity and the scale of production: Fragmentation, unification, and segmentation," Journal of Urban Economics, Elsevier, vol. 62(1), pages 135-160, July.
    17. Ludo Peeters, 2011. "Controlling For Heterogeneity And Asymmetry In Cross-Section Gravity Models Of Aggregate Migration: Evidence From Mexico," ERSA conference papers ersa10p329, European Regional Science Association.
    18. David Finck & Peter Tillmann, 2022. "Pandemic Shocks and Household Spending," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(2), pages 273-299, April.
    19. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038.
    20. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2008. "Demographic versus expenditure flexibility in Engel curves," Empirical Economics, Springer, vol. 34(2), pages 257-271, March.
    21. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    22. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.
    23. Romero-Jordán, Desiderio & del Río, Pablo & Jorge-García, Marta & Burguillo, Mercedes, 2010. "Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies," Energy Policy, Elsevier, vol. 38(8), pages 3898-3909, August.

    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:tpr:restat:v:85:y:2003:i:3:p:653-669. 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: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.