lynx   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ags/iamodp/14909.html
   My bibliography  Save this paper

Analysing Russian Food Expenditure Using Micro-Data

Author

Listed:
  • Elsner, Karin
Abstract
Since the beginning of transition, the level and structure of average food consumption and expenditure of Russian households has changed substantially. This development has gone together with a steep increase in the share of food in total expenditure. Notable differences with respect to food expenditure are observed between distinct household strata. In this paper, food demand of Russian households is investigated. For this purpose, households are classified by sociodemographic characteristics, and differences between food demand patterns of various household types are described using data of a Russian household survey of 1996. Russian food demand is econometrically estimated for seventeen food commodities belonging to five groups using a two-stage linear approximation of the Almost Ideal Demand System (LA/AIDS). Total expenditure allocation on food and non-food is analysed using Working's Engel model. The basic models are extended by sociodemographic factors. In a first step, unit values of food commodities are adjusted for quality differences and Probit analyses are carried out to analyse the decision to purchase food commodities. In a second step, the Engel model and the LA/AIDS are estimated applying the Generalised Heckman procedure in order to account for estimation bias introduced from zero expenditures. The estimates are used to calculate total expenditure and own price elasticities for different household groups. The results indicate that sociodemographic characteristics exert an important influence on the level and composition of food expenditure and on food demand elasticities. Therefore, if demand analysis shall contribute to the design of comprehensive food and social policies, not only average estimates for the population as a whole, but estimates for specific population groups should be considered.

Suggested Citation

  • Elsner, Karin, 1999. "Analysing Russian Food Expenditure Using Micro-Data," IAMO Discussion Papers 14909, Institute of Agricultural Development in Transition Economies (IAMO).
  • Handle: RePEc:ags:iamodp:14909
    DOI: 10.22004/ag.econ.14909
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14909/files/dp990023.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.14909?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:iamodp:14909. 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/iamoode.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.
    Лучший частный хостинг