Pricing IaaS: A Hedonic Price Index Approach

2017 ◽  
pp. 18-28 ◽  
Author(s):  
Persefoni Mitropoulou ◽  
Evangelia Filiopoulou ◽  
Mara Nikolaidou ◽  
Christos Michalakelis
Keyword(s):  
Price Index ◽  
Hedonic Price ◽  
Index Approach

scholarly journals Construction Of Hedonic Price Index For The “Most Liquid” Polish Painters

2014 ◽  
Vol 14 (2) ◽  
pp. 76-100
Author(s):  
Krzysztof Kompa ◽  
Dorota Witkowska
Keyword(s):  
Price Index ◽  
Art Market ◽  
Alternative Form ◽  
Expected Returns ◽  
Hedonic Price ◽  
Single Model ◽  
Quality Adjustment ◽  
Good Investment ◽  
Hedonic Quality ◽  
Hedonic Index

Abstract Art market has been developing in Poland and the first Art Fund was established in 2011. Therefore it seems that investment in art can be considered as alternative form by Polish investors. In order to decide whether art is a good investment, it is necessary to evaluate expected returns which might be obtained from such investment thus an art price index should be developed. The aim of the paper is to discuss artworks as investment assets and evaluate price index of paintings produced by 11 Polish artists whose artworks were traded the most often on auctions that were held in Poland in the years 2007–2010. In our research, employing data concerning 750 objects, we apply the hedonic index methodology to estimate returns from the paintings market. The results of our investigation show that hedonic quality adjustment essentially influences evaluation of artwork prices therefore we propose the aggregated hedonic index which might better describe situation at the art market than the hedonic index biased by the specification of a single model.

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.

Design of Real Estate Price Index System Based on Hedonic Price Method

2014 ◽  
Vol 488-489 ◽  
pp. 1463-1466
Author(s):  
Yun Du ◽  
Hui Qin Sun ◽  
Su Ying Zhang ◽  
Qiang Tian
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Real Estate Market ◽  
Hedonic Price ◽  
Hedonic Price Method ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Price ◽  
Price Series ◽  
Research Level

Urban real estate price index (hereinafter referred to as UREPI) is a basic data of the real estate market, its accuracy is very important for enterprises, consumers and housing management department. In view of current research level here in China and popular models, the UREPI system is compiled based on the Hedonic price method because of its advantages such as calculation simple and sample easily etc. Compiled by Eviews the system has three main stages: the data standardization, the benchmark model establishment and the application of two periods chained update method to update price series. UREPI system is combined with the real deal, so it can be used to analysis the market accurately. The results completely meet the design requirements.

A housing price index with the improvement-value adjusted repeated sales (IVARS) method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chung Yim Edward Yiu ◽  
Ka Shing Cheung
Keyword(s):  
Price Index ◽  
Simulation Analysis ◽  
House Price ◽  
Housing Price ◽  
Housing Quality ◽  
Repeat Sales ◽  
Open Market ◽  
Hedonic Price ◽  
Content Type ◽  
Price Movements

Purpose The repeat sales house price index (HPI) has been widely used to measure house price movements on the assumption that the quality of properties does not change over time. This study aims to develop a novel improvement-value adjusted repeat sales (IVARS) HPI to remedy the bias owing to the constant-quality assumption. Design/methodology/approach This study compares the performance of the IVARS model with the traditional hedonic price model and the repeat sales model by using half a million repeated sales pairs of housing transactions in the Auckland Region of New Zealand, and by a simulation approach. Findings The results demonstrate that using the information on improvement values from mass appraisal can significantly mitigate the time-varying attribute bias. Simulation analysis further reveals that if the improvement work done is not considered, the repeat sales HPI may be overestimated by 2.7% per annum. The more quality enhancement a property has, the more likely it is that the property will be resold. Practical implications This novel index may have the potential to enable the inclusion of home condition reporting in property value assessments prior to listing open market sales. Originality/value The novel IVARS index can help gauge house price movements with housing quality changes.

The AIDS: A chain price index approach

2012 ◽  
Vol 117 (2) ◽  
pp. 477-479 ◽  
Author(s):  
Mark G. Brown ◽  
Jonq-Ying Lee
Keyword(s):  
Price Index ◽  
Index Approach ◽  
A Chain

CONSTRUCTING HOUSING PRICE INDEX FOR TERRACED PROPERTIES IN JOHOR BAHRU, MALAYSIA

2021 ◽  
Vol 19 (17) ◽  
Author(s):  
Wendy Wen Xin Lim ◽  
Burhaida Burhan ◽  
Mohd Lizam Mohd Diah
Keyword(s):  
Price Index ◽  
Housing Prices ◽  
Housing Price ◽  
Hedonic Price ◽  
Property Market ◽  
Price Variation ◽  
Vector Property ◽  
Hedonic Price Analysis ◽  
Housing Price Index ◽  
Housing Attributes

Housing is a country’s biggest asset. Hence, the pattern of the housing price index (HPI) is an important topic to gain insight into the housing market while identifying the prevailing housing issues. The determinants of housing price vary for each city and state based on the different characteristics in each location. Accordingly, HPI should consider the property’s quality differences. Besides, national HPI is insufficient and restricted to the housing price at the state level. Thus, the study focused on constructing a specified HPI model for different cities, districts, and states. Effective HPI can give parties a better idea of the current property market situation and act as an analytical tool in managing the sector. Specifically, the study aims to examine the relationship between the heterogeneity housing attributes and housing prices of the terraced properties in Johor Bahru, Malaysia. Additionally, the study provides detailed information on the key determinants of the housing price variation in Johor Bahru. Hedonic price analysis is useful in constructing HPI, expressing housing price as a function of vector property characteristics. Furthermore, HPI is constructed based on the yearly indices and by pooling the data into certain periods. The results show the percentage of variance explained by the factors of HPI for the terraced properties in Johor Bahru. Correspondingly, the underlying correlation between the tested housing attributes with the housing price is explained through the analysis results.

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