Integrability and Generalized Separability
Thibault Fally ()
No 12667, CEPR Discussion Papers from C.E.P.R. Discussion Papers
This paper examines demand systems where the demand for a good depends only on its own price, consumer income, and a single aggregator synthesizing information on all other prices. This generalizes directly-separable preferences where the Lagrange multiplier provides such an aggregator. As indicated by Gorman (1972), symmetry of the Slutsky substitution terms implies that such demand can take only one of two simple forms. Conversely, here we show that only weak conditions ensure that such demand systems are integrable, i.e. can be derived from the maximization of a well-behaved utility function. This paper further studies useful properties and applications of these demand systems.
Keywords: integrability; non-homothetic preferences; Recoverability; Separable demand; Single aggregator (search for similar items in EconPapers)
JEL-codes: D11 D40 L13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mkt and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at email@example.com
Working Paper: Integrability and Generalized Separability (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:12667
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... rs/dp.php?dpno=12667
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().