scholarly journals Hedonic analysis of cell phones sold with post-paid service plans in Brazil

2012 ◽  
Vol 52 (4) ◽  
pp. 435-447
Author(s):  
Rodrigo de Santi ◽  
Cláudio R. Lucinda

The aim of this paper is to analyze the determining factors for the pricing of handsets sold with service plans, using the hedonic price method. This was undertaken by building a database comprising 48 handset models, under nine different service plans, over a period of 53 weeks in 2008, and resulted in 27 different attributes and a total number of nearly 300,000 data registers. The results suggest that the value of monthly subscriptions and calling minutes are important to explain the prices of handsets. Furthermore, both the physical volume and number of megapixels of a camera had an effect on the prices. The bigger the handset, the cheaper it becomes, and the more megapixels a camera phone has, the more expensive it becomes. Additionally, it was found that in 2008 Brazilian phone companies were subsidizing enabled data connection handsets.

2019 ◽  
Vol 31 (3) ◽  
pp. 282-302 ◽  
Author(s):  
Luca Rossetto ◽  
Luigi Galletto

Purpose The purpose of this paper is to analyze the market of rosé wines in Italy, to outline retail strategies and to investigate to what extent the price is affected by branding these wines. Design/methodology/approach A survey has been carried out on retailers by collecting data about wines as intrinsic attributes (grape variety, blending, origin, alcohol content, etc.) and extrinsic attributes (brand, price, packaging, etc.) and about outlet and retail environment. The hedonic analysis required a rearrangement of data survey, while a Box-Cox transformation allowed to control the strong heteroskedasticity detected of the data. Findings Results provide strategies for still, semi-sparkling and sparkling rosé market segments. Still rosé wines are strongly differentiated, while the price is affected by the appellation, grape variety, blending, brand and outlet features. Two main strategies are suggested: the first focuses on appellations endorsing consumer’s brand loyalty; the second is driven by retailers while involving weaker brands. Different pictures emerged for semi-sparkling and sparkling wines, as producers and retailers tend to follow consumer’s preferences for fresh and easy drinking wines as well as to extend the product assortment. Research limitations/implications Results for sparkling rosé wines cannot be generalized. The high fragmentation hinders the hedonic model performance in capturing the price effects of brands, appellations, grape variety and wine blend. Practical implications The hedonic analysis provides suggestions for rosé wine producers that should reinforce their brand through associations among intrinsic attributes, such as appellation, and extrinsic ones, such as price, while satisfying retailer requirements. Originality/value The paper contributes to the knowledge base about the Italian rosé wine market, which is mostly export-oriented. Model results help to understand why the domestic consumption is stagnant with respect to other countries such as France or the USA.


Author(s):  
Vincenzo Del Giudice ◽  
Benedetto Manganelli ◽  
Pierfrancesco De Paola

This study estimates a hedonic price function using a semiparametric regression based on Penalized Spline Smoothing, and compares the price prediction performance with conventional parametric models. The excellent results obtained show that the semiparametric models allow to obtain a significant improvement in the prediction of housing sales prices.


Meat Science ◽  
2019 ◽  
Vol 158 ◽  
pp. 107881
Author(s):  
Jaime Fernández ◽  
Oscar Melo ◽  
Rafael Larraín ◽  
Macarena Fernández

Author(s):  
Gaetano Lisi ◽  
Mauro Iacobini

The Italian housing market is characterised by both a strong heterogeneity of real estate assets and a reduced number of property sales. These features, indeed, hamper the use of the hedonic price method, namely, the method that is mostly used for assessing the house prices and for estimating the monetary value of housing characteristics. In this paper, therefore, a hedonic model with dummy variables that identify housing submarkets is used to achieve two important results: enabling greater use of multiple regression analysis in the study of the Italian real estate market, and catching, in the simplest possible manner, the effect of location on house price. Indeed, the house's location is, together with the area in square metres, the housing characteristic that most influences the house price.


2014 ◽  
Vol 488-489 ◽  
pp. 1463-1466
Author(s):  
Yun Du ◽  
Hui Qin Sun ◽  
Su Ying Zhang ◽  
Qiang Tian

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.


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