Motelling: A Hotelling Model with Money

P. Dean Corbae () and Borghan N. Narajabad

No 778, 2006 Meeting Papers from Society for Economic Dynamics

Abstract: We apply a mechanism design approach to a trading post environment where the household type space (tastes over variety) is continuous and it is costly to set up shops that trade differentiated goods. In this framework, we address Hotelling's Hot venerable question about where shops will endogenously locate in variety space across environments with and without money. Money has a role in our environment due to anonymity. Our specific question is whether monetary exchange leads to more product variety than an environment without money (i.e. a barter economy). We show that an efficient monetary mechanism does in fact lead to more product variety available to households provided the discount factor is sufficiently high, costs of operating shops are sufficiently low, and there is sufficient heterogeneity in tastes and abilities. We then show how this allocation can be implemented in a trading post economy with money. The paper is an attempt to integrate monetary theory and industrial organization

Keywords: Matching Models of Money; Trading Posts (search for similar items in EconPapers)
JEL-codes: E4 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba, nep-dge, nep-mac and nep-mon
Date: 2006-12-03

Downloads: (external link)
http://repec.org/sed2006/up.27771.1140044092.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: http://EconPapers.repec.org/RePEc:red:sed006:778

Access Statistics for this paper

More papers in 2006 Meeting Papers from Society for Economic Dynamics
Address: Society for Economic Dynamics Anne Stubing CV Starr Center for Applied Economics 269 Mercer Street, Room 303 New York University New York, NY 10003
Contact information at EDIRC.
Series data maintained by Christian Zimmermann ().