Flexible Spatial and Temporal Hedonic Price Indexes for Housing in the Presence of Missing Data

2008 ◽  
Author(s):  
Robert J. Hill ◽  
Daniel Melser ◽  
Iqbal Syed
Keyword(s):  
Missing Data ◽  
Hedonic Price ◽  
Price Indexes

scholarly journals Exact Hedonic Price Indexes

1995 ◽  
Vol 77 (4) ◽  
pp. 634 ◽  
Author(s):  
Robert C. Feenstra
Keyword(s):  
Hedonic Price ◽  
Price Indexes

scholarly journals Inflation and Price Escalation Adjustments in Estimating Program Cost: F-35 Case Study

2020 ◽  
Vol 27 (92) ◽  
pp. 194-217
Author(s):  
Stanley Horowitz ◽  
Bruce Harmon
Keyword(s):  
Price Index ◽  
Hedonic Price ◽  
Cost Estimating ◽  
Program Cost ◽  
Defense Systems ◽  
Price Indexes ◽  
Acquisition Costs ◽  
Using Data ◽  
Price Escalation

Applying price indexes presents a challenge in estimating the costs of new defense systems. An inappropriate price index—one not closely linked to the inputs to the systems being costed—can introduce errors in both development of cost estimating relationships (CER) and in development of out-year budgets. To help cost analysts understand the impacts of different price indexes, this article applies two sets of price indexes to the F-35 program. Using hedonic price indexes derived from CERs, the authors isolate changes in price due to factors other than changes in quality by developing a “Baseline” CER model using data on historical tactical aircraft programs available early in the F-35 program. The focus of the work is to improve estimates of acquisition costs. All the data used in the econometric analysis are acquisition cost data. Better cost estimates should improve projections of budget requirements.

Convenient links for the estimation of hedonic price indexes: the case of unique, infrequently traded assets

2014 ◽  
Vol 68 (2) ◽  
pp. 91-117 ◽  
Author(s):  
Esmeralda A. Ramalho ◽  
Joaquim J.S. Ramalho
Keyword(s):  
Hedonic Price ◽  
Price Indexes

Hedonic Price Indexes for United Kingdom Cars

1972 ◽  
Vol 82 (327) ◽  
pp. 963 ◽  
Author(s):  
Keith Cowling ◽  
John Cubbin
Keyword(s):  
United Kingdom ◽  
Hedonic Price ◽  
Price Indexes

Robust hedonic price indexes

2016 ◽  
Vol 9 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Steven C Bourassa ◽  
Eva Cantoni ◽  
Martin Hoesli
Keyword(s):  
House Price ◽  
Ordinary Least Squares ◽  
Robust Methods ◽  
Hedonic Price ◽  
Omitted Variables ◽  
Systematic Analysis ◽  
Content Type ◽  
Robust Techniques ◽  
Price Indexes ◽  
Hedonic Indexes

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.

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