IDEAS home Printed from https://ideas.repec.org/p/ags/gagfdp/273076.html
   My bibliography  Save this paper

A Latent Class Analysis of the Demand for Food Diversity in India

Author

Listed:
  • Steffen, Christoph
  • Yu, Xiaohua

Abstract

In this paper we study the latent demand structure for food diversity in India using data from the 2012 Consumer Expenditure Survey. We assume that consumers who have not yet attained calorie sufficiency favor calories over food diversity and once passing a threshold of subsistence substitute away from staples towards a more varied diet.This implies a latent demand pattern as calorie sufficiency depends on unobservable individual characteristics. Latent classes and consumption patterns are identified by means of finite mixture models. Therefore we examine the link between food diversity indices and socioeconomic indicators, explain component memberships in order to characterize latent classes and evaluate nutritional implications. Two clearly distinct demand patterns for diversity could be identified, consistent with the initial assumptions. The identified classes differ substantially in income, household composition and nutritional adequacy.

Suggested Citation

  • Steffen, Christoph & Yu, Xiaohua, 2018. "A Latent Class Analysis of the Demand for Food Diversity in India," GlobalFood Discussion Papers 273076, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  • Handle: RePEc:ags:gagfdp:273076
    DOI: 10.22004/ag.econ.273076
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273076/files/GlobalFood%20DP%20119.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/273076/files/GlobalFood%20DP%20119.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/273076/files/GlobalFood%20DP%20119_2.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.273076?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
    ---><---

    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:gagfdp:273076. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iagoede.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.