Demand for Meat; Seprability and Structural changes (A Nonparametric Analysis)
Babar Aziz and
Malik Shahnawaz
MPRA Paper from University Library of Munich, Germany
Abstract:
This study provides information on the structure of the consumer demand for meat group (1950-51 to 2004-2005) in Pakistan. Nonparametric tests were used on the data set to check the consistency of the data with the theory of revealed preferences, e.g. the Afriat inequalities, GARP and the condition of weak separability. We started with 26 different consumer commodities and employed nonparametric tests to the different groups of commodities. But all other groups except meat group showed violations of generalized axiom of revealed preferences (GARP). So we limited our analysis only to meat group. It was found that there was no violation of GARP in our data set and hence consistent with Afriat inequalities. The data set also met the condition of weak separability. These test procedures imply that the data could have been generated by stable preferences. Furthermore, the existence and the nature of the structural change is checked by using GARP. Tests of structural change do support a shift in demand for fish in 1991-92.
Keywords: Demand; Analysis:; WARP:; SARP:; GARP:; Structual; Change (search for similar items in EconPapers)
JEL-codes: D01 D11 D12 (search for similar items in EconPapers)
Date: 2005, Revised 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published in Journal of Research 1.25(2005): pp. 111-120
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/22932/1/MPRA_paper_22932.pdf original version (application/pdf)
Related works:
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:pra:mprapa:22932
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().