Advanced Search
MyIDEAS: Login

Food expenditures and household demographic composition in the US: a demand systems approach

Contents:

Author Info

  • Kellie Curry Raper
  • Maria Namakhoye Wanzala
  • Rodolfo Nayga

Abstract

Food expenditures and subsistence quantities of poverty status and non-poverty status US households are analysed within a Linear Expenditure System that postulates subsistence quantities to be linear combinations of demographic variables. Using the US Bureau of Labor Statistics' 1992 Consumer Expenditure Survey and Detailed Monthly Consumer Price Indices, this article obtains expenditure elasticities, own-price elasticities and subsistence quantities for each income group across nine broadly aggregated food commodity groups. Elasticity estimates and subsistence quantity estimates differ across income groups, supporting the premise that policies targeted at specific income groups should be based on the target group's elasticity estimates rather than average population elasticities. Parameter estimates are then used to simulate how subsistence quantities and own-price elasticities can be expected to vary according to the demographic composition of the household within a specific income group.

Download Info

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: http://www.tandfonline.com/doi/abs/10.1080/00036840110061959
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 under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 34 (2002)
Issue (Month): 8 ()
Pages: 981-992

as in new window
Handle: RePEc:taf:applec:v:34:y:2002:i:8:p:981-992

Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20

Order Information:
Web: http://www.tandfonline.com/pricing/journal/RAEC20

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Maria Erlinda M. Mutuc & Suwen Pan & Roderick M. Rejesus, 2007. "Household vegetable demand in the Philippines: Is there an urban-rural divide?," Agribusiness, John Wiley & Sons, Ltd., vol. 23(4), pages 511-527.
  2. Timothy K.M. Beatty, 2007. "Expenditure Dispersion and Dietary Quality: Evidence from Canada," Health, Econometrics and Data Group (HEDG) Working Papers 07/13, HEDG, c/o Department of Economics, University of York.
  3. Blisard, Noel & Stewart, Hayden & Jolliffe, Dean, 2004. "Low-Income Households' Expenditures on Fruits and Vegetables," Agricultural Information Bulletins 33755, United States Department of Agriculture, Economic Research Service.
  4. Tonsor, Glynn T. & Kastens, Terry L., 2006. "How Much Do Starting Values Really Matter? An Empirical Comparison of Genetic Algorithm and Traditional Approaches," 2006 Annual meeting, July 23-26, Long Beach, CA 21252, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Smed, Sinne & Jensen, Jorgen D. & Denver, Sigrid, 2007. "Socio-economic characteristics and the effect of taxation as a health policy instrument," Food Policy, Elsevier, vol. 32(5-6), pages 624-639.
  6. Panagiotis Lazaridis, 2004. "Demand elasticities derived from consistent estimation of Heckman-type models," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 523-527.
  7. Tonsor, Glynn T. & Marsh, Thomas L., 2005. "Comparing Heterogeneous Consumption in US and Japanese Meat and Fish Demand," 2005 Annual meeting, July 24-27, Providence, RI 19567, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Castellon, Cesar E. & Boonsaeng, Tullaya & Carpio, Carlos E., 2012. "Demand System Estimation in the Absence of Price Data: an Application of Stone-Lewbel Price Indices," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124819, Agricultural and Applied Economics Association.
  9. Yen, Steven T. & Lin, Biing-Hwan & Harris, James Michael & Ballenger, Nicole, 2004. "Demand For Differentiated Vegetables," 2004 Annual meeting, August 1-4, Denver, CO 20059, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  10. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:34:y:2002:i:8:p:981-992. 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: (Michael McNulty).

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.