A Flexible Fourier Approach to Repeat Sales Price Indexes

Daniel McMillen () and Jonathan Dombrow

Real Estate Economics, 2001, vol. 29, issue 2, 207-225

Abstract: Time periods are typically highly aggregated for repeat sales estimators because of the small number of observations available in some periods. We use a flexible Fourier expansion to account for time, which we treat as a continuous variable. Our estimator saves degrees of freedom and enables us to estimate the price index efficiently even for times with few sales. We present estimated price indexes for the City of Chicago, Cook County, and several suburbs.

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
https://doi.org/10.1111/1080-8620.00008

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:bla:reesec:v:29:y:2001:i:2:p:207-225

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1080-8620

Access Statistics for this article

Real Estate Economics is currently edited by Crocker Liu, N. Edward Coulson and Walter Torous

More articles in Real Estate Economics from American Real Estate and Urban Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().