IDEAS home Printed from https://ideas.repec.org/p/cte/werepe/2901.html
   My bibliography  Save this paper

Estimating demand for food commodities by income groups in Indonesia

Author

Listed:
  • Jensen, Helen
  • Manrique, Justo

Abstract

An analysis of the structure of demand was performed on household data, classified into income groups for urban Indonesia. A demographically augmented Linearized Almost Ideal Demand System was used to estimate the structural parameters of the demand equations. Endogenous switching regressions techniques yielded unbiased and consistent demand parameter estimates for the low income group, which had a large number of zeros for some food groups. Standard seemingly unrelated equation techniques were used to estimate the demand parameters for the other income groups. The results showed demands for the medium-high and high income households to be responsive to prices, income and demographic variables. Demands for the medium-low income households were responsive to income and prices only. Demands for lowincome households were responsive to income and prices of rice and fish only.

Suggested Citation

  • Jensen, Helen & Manrique, Justo, 1993. "Estimating demand for food commodities by income groups in Indonesia," UC3M Working papers. Economics 2901, Universidad Carlos III de Madrid. Departamento de Economía.
    • Handle: RePEc:cte:werepe:2901
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/2d89eb64-5bc7-4b94-9896-817233f066a2/content
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Laajimi, A. & Albisu, L. M., 1997. "La demande de viandes et de poissons en Espagne : une analyse micro-économique," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 42.

    More about this item

    Keywords

    Endogenous Switching Regressions;

    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:cte:werepe:2901. 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: Ana Poveda (email available below). General contact details of provider: http://www.eco.uc3m.es/ .

    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.