Hicksian complementarity and perturbed utility models
Roy Allen and
John Rehbeck ()
Additional contact information
John Rehbeck: The Ohio State University
Economic Theory Bulletin, 2020, vol. 8, issue 2, No 6, 245-261
Abstract:
Abstract This paper studies aggregate complementarity without price or income variation. We show that for a class of utility functions, variation in non-price observables allows one to recover a measure of complementarity similar to Hicksian complementarity. In addition, the entire Slutsky matrix can be recovered up to scale without price variation. We then examine aggregate complementarity in latent utility models used in discrete choice, bundles, and matching. We show that classical linear instrumental variables can recover Hicksian complementarity for the special case of quadratic utility.
Keywords: Hicksian complementarity; Demand; Instrumental variables (search for similar items in EconPapers)
JEL-codes: C10 D01 D11 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40505-019-00180-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:etbull:v:8:y:2020:i:2:d:10.1007_s40505-019-00180-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40505
DOI: 10.1007/s40505-019-00180-6
Access Statistics for this article
Economic Theory Bulletin is currently edited by Nicholas C. Yannelis
More articles in Economic Theory Bulletin from Springer, Society for the Advancement of Economic Theory (SAET) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().