Demand for food commodities by income groups in Indonesia

Helen Jensen and Justo Manrique ()

Applied Economics, 1998, vol. 30, issue 4, 491-501

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 regression 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 to high- and high-income households to be responsive to prices, income and demographic variables. Demands for the medium to low-income households were responsive to income and prices only. Demands for low-income households were responsive to income and prices of rice and fish only.

Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/000368498325750 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Demand for Food Commodities by Income Groups in Indonesia (1998)
Working Paper: Demand for food commodities by income groups in Indonesia (1998)
Working Paper: Demand for Food Commodities by Income Groups in Indonesia (1996)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:30:y:1998:i:4:p:491-501

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/000368498325750

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().