scholarly journals Different Approaches to Estimating Hedonic Indexes

Author(s):  
Saeed Heravi ◽  
Mick Silver
Keyword(s):  
1979 ◽  
Vol 14 (4) ◽  
pp. 783 ◽  
Author(s):  
Charles W. Noland
Keyword(s):  

1982 ◽  
Vol 58 (1) ◽  
pp. 96 ◽  
Author(s):  
Richard V. Butler

Author(s):  
W. Erwin Diewert ◽  
Saeed Heravi ◽  
Mick Silver
Keyword(s):  

2016 ◽  
Vol 9 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Steven C Bourassa ◽  
Eva Cantoni ◽  
Martin Hoesli

Purpose – The purpose of this paper is to demonstrate the application of robust techniques to the estimation of hedonic house price indexes. Design/methodology/approach – The authors use simulation analysis to compare an index estimated using ordinary least squares (OLS) with several indexes estimated using robust techniques. The analysis uses sales transactions data from a US city. The authors then explore how robust methods can correct for omitted variables under some circumstances and how they affect the revision problem that occurs when longitudinal hedonic indexes are updated. Findings – Robust methods can resolve missing variable problems in some circumstances and also can substantially reduce the revision problem in longitudinal hedonic indexes. Practical implications – Robust techniques may be preferable to OLS when constructing longitudinal hedonic indexes. Originality/value – This is the first paper to undertake a systematic analysis of the applicability of robust techniques in constructing hedonic house price indexes.


2017 ◽  
Vol 25 (3) ◽  
pp. 40-50
Author(s):  
Sebastian Kokot

Abstract Property price indexes are difficult to determine both from the substantive and technical/organizational points of view. Various methods of constructing such indexes have been developed in order to overcome these difficulties. To this end, the author compares two types of indexes: hedonic indexes and ones termed filtered for the purpose of this particular paper. Hedonic index values come from Polish National Bank (NBP) publications, while the filtered indexes have been computed with the use of the 4253H filter on the basis of the NBP announcements on mean property prices. Thus, the results are comparable as both types of indexes are derived from the same input databases. The analysis covers both the comparison of the obtained results as well as a discussion of substantive and technical problems encountered when building the property price indexes.


2007 ◽  
Author(s):  
W. Erwin Diewert ◽  
Saeed Heravi ◽  
Mick Silver
Keyword(s):  

2007 ◽  
Vol 07 (234) ◽  
pp. 1 ◽  
Author(s):  
W. E. Diewert ◽  
Mick Silver ◽  
Saeed Heravi ◽  
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Keyword(s):  

2003 ◽  
Vol 93 (5) ◽  
pp. 1578-1596 ◽  
Author(s):  
Ariel Pakes

This paper compares hedonic to matched model indexes. Matched model indexes are averages of the price changes of goods that remain on sampled stores’ shelves. Since goods that disappear tend to have falling market values, matched model indexes select from the right tail of price changes. The BLS can construct hedonic indexes that correct for this selection and are justified by standard arguments. In an empirical study of PC’s hedonics produce sharp price declines while matched model indexes are near zero. Also, though there are modifications to hedonics that seem desirable, they are not those in current use.


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