IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Derivation of Nutrient Prices from Household level Food Expenditure Data: Methodology and Applications

Listed author(s):
  • Ranjan Ray
  • Amita Majumder
  • Dipankor Coondoo
  • Geoffrey Lancaster

In cross-country/cross-region multilateral consumer price level comparisons, differences in the mix of food items consumed in individual countries pose a major problem. Comparison of the level of prices of food items in two countries will be difficult, if the sets of food items consumed in the two countries are very different. However, if the data on average level of intake of major nutrients and some measure of the corresponding nutrient prices is available, a comparison of the level of nutrient prices is possible. At the household level, given the prices of food items actually paid and the corresponding levels of actual intake of different nutrients (from the consumption of various food items), it is possible, in principle, to work out a set of shadow prices of individual nutrients. In this context, it may be mentioned that the shadow prices of nutrients thus derived, being based on households' actual consumption information, would be influenced by the prices of food items consumed, nominal income, household attributes and other preference factors characterizing the individual households. Given such sets of household level nutrient prices and corresponding nutrient intakes for individual countries, a set of multilateral nutrient price index numbers may be worked out and a cross-country comparison of the nutrient price level performed. In this paper a regression analysis-based procedure has been proposed for estimation of household-level unit values of carbohydrates, protein and fat, using a cross-sectional household level data set on food expenditure, total consumer expenditure, quantities of nutrients consumed and related variables. The proposed procedure has been applied to the Indian household level data for the year 1999-2000 using the 55th round Consumer Expenditure Survey of the National Sample Survey Organisation, Govt. of India and subsequently analysed separately for the rural and urban sector of some selected major Indian States.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 170.

in new window

Date of creation: 11 Aug 2004
Handle: RePEc:ecm:ausm04:170
Contact details of provider: Phone: 1 212 998 3820
Fax: 1 212 995 4487
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June.
  2. D. Coondoo & A. Majumder & R. Ray, 2004. "A Method of Calculating Regional Consumer Price Differentials with Illustrative Evidence from India," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 51-68, March.
  3. Stiglitz, Joseph E, 1976. "The Efficiency Wage Hypothesis, Surplus Labour, and the Distribution of Income in L.D.C.s," Oxford Economic Papers, Oxford University Press, vol. 28(2), pages 185-207, July.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ecm:ausm04:170. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.