Samuelson´s full duality and the use of directed acyclical graphs
Matthew Stockton (),
Oral Capps Jr. and
David Bessler ()
Additional contact information
Oral Capps Jr.: Texas A & M University, http://agecon.tamu.edu/people/faculty/capps-oral.shtml
Authors registered in the RePEc Author Service: Oral Capps, Jr. and
ORAL CAPPS Jr.
Journal of Applied Economics, 2008, vol. 11, 167-191
Abstract:
To date, mixed demand systems have been all but ignored in empirical work. A possible reason for the scarcity of such applications is that one needs to know a priori which prices and quantities are endogenous in the mixed demand system. By using a directed acyclical graph (DAG), causal relationships among price and quantity variables are identified giving rise to a causally identified mixed demand system. A statistical comparison is made of the traditional Rotterdam model, a synthetic demand system, which subsumes the traditional Rotterdam model, and a Rotterdam mixed demand system identified through the use of a DAG. In this analysis, the respective demand systems consist of five products: steak, ground beef, beef roasts, pork, and chicken.
Keywords: directed acyclic graphs; mixed demand systems (search for similar items in EconPapers)
JEL-codes: D11 D12 (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ucema.edu.ar/publicaciones/download/volume11/stockton.pdf (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:cem:jaecon:v:11:y:2008:n:1:p:167-191
Access Statistics for this article
Journal of Applied Economics is currently edited by Germán Coloma and Mariana Conte Grand and Jorge M. Streb
More articles in Journal of Applied Economics from Universidad del CEMA Contact information at EDIRC.
Bibliographic data for series maintained by Valeria Dowding ().