225
Views
0
CrossRef citations to date
0
Altmetric
Articles

Market concentration in real estate brokerage in economic downturns: evidence from spatial agent-based models

ORCID Icon
Pages 1567-1571 | Published online: 05 Mar 2019
 

ABSTRACT

Anecdotal evidence suggests that firms and individuals participating in property markets, such as real estate brokers, consider that competition among them intensifies during property market downturns. This is at odds with conventional microeconomic theory, which suggests that in a downturn competition will decrease as some firms faced with losses leave the market. We argue that this disconnect may be caused by an unnoticed spatial dimension to competition in these markets, where firms choose the area in which they will operate. We demonstrate using spatial agent-based models (ABM) that a model of firm location in which brokers accept all customers, while customers prefer brokers who are both cheap and nearby, is inconsistent with this phenomenon, and will result in lower market concentration with good market conditions than with bad. Further, we demonstrate that a model of spatial location in which the desire by a broker to restrict market area to appeal to clients within that local area is consistent with expanded market areas by brokers and hence intensified competition during downturns.

JEL CLASSIFICATION:

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.