Market values for olive oil attributes in Chile: a hedonic price function

2015 ◽  
Vol 117 (1) ◽  
pp. 358-370 ◽  
Author(s):  
Rodrigo Romo Muñoz ◽  
Mario Lagos Moya ◽  
José M. Gil

Purpose – Focused on the olive oil sector in Chile which is a non-traditional market (both in production and consumption), the purpose of this paper is to determine the implicit value of the most relevant attributes of olive oil on the final price charged by supermarkets to consumers through the hedonic pricing methodology. Design/methodology/approach – Field work was carried out between September and October 2012 in 12 supermarkets belonging to the four most important Chilean retail chains. A log-linear price-attribute function was used to estimate the hedonic price function. The sample included 248 observations olive oil prices available to consumers in the leading supermarkets in the city of Chillán (Chile). Findings – The model estimation results led to the observation that the attributes that most positively influenced final price are oil acidity level, tin can container of imported oil, and origin. On the other hand, the attributes that most negatively influenced final consumer price are retailer house brand and plastic container. Research limitations/implications – A limitation of this study is associated with the geographic area where it was carried out, that is, the city of Chillán in the Bío-Bío Region, which is the second largest region and accounts for 12 per cent of the total population. Further research should include other cities such as Santiago (capital), Concepción, Curicó and Valparaíso. Originality/value – This study can be considered as a first approximation of a hedonic pricing model estimation for olive oil in non-traditional markets like Chile, which is considered an emerging market.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gaetano Lisi

PurposeThe aim of this education briefing is to comment upon how basic hedonic pricing models for the valuation of property can be expanded and developed. In this case, the briefing illustrates the use of the new economic approach to the analysis of housing markets, namely the search-and-matching models.Design/methodology/approachThis education briefing discusses the connection of two important economic theories: the hedonic price theory and the search-and-matching theory.FindingsThis education briefing gives an example of a (non-linear) form of the hedonic price function.Practical implicationsIn cases of mass appraisals, hedonic pricing models can provide a broad indication of value across submarkets and this education briefing demonstrates a theoretical model that can be used to provide a theoretical groundwork for the use of a concave hedonic price function in empirical estimates.Originality/valueThis education briefing shows how basic hedonic pricing models can be enhanced by a search-and-matching approach to determine property values.


2018 ◽  
Vol 13 (1) ◽  
pp. 19-55
Author(s):  
Debarpita Roy

Purpose This paper aims to understand housing demand of urban Indian households in terms of housing and household-level characteristics. Because a house is a bundle of certain characteristics which vary across houses, each characteristic has an implicit price. Finding this implicit price for certain important characteristics is the first objective of this study. The second objective of the paper is to compute the income elasticity and price elasticity of housing demand for these cities. Design/methodology/approach To achieve comparable estimates, household-level data from India’s National Sample Survey Organisation housing surveys for the years 2002 and 2008-2009 have been used. A hedonic price function is estimated using ordinary least squares (OLS) and Box-Cox functional forms to estimate the implicit prices of housing characteristics. This exercise is attempted for owned and rented houses separately. Demand function required for computing the elasticities, uses the hedonic price index derived from the implicit prices and household characteristics. Findings The study finds housing demand to be income elastic and price inelastic for the six cities across both the time periods. Originality/value Firstly, this study includes housing characteristics such as individual access to drinking water, modern sanitation facility, separate kitchen, condition of the structure, existence of a road with street light and whether the house is in a slum or non-slum area in the hedonic price function. These variables were not used in any of the earlier studies pertaining to India. Secondly, it uses the Box-Cox non-linear form to derive the hedonic price function, a specification not used earlier. Thirdly, this is the first study analysing housing demand across the six largest Indian cities.


2007 ◽  
Vol 2 (2) ◽  
pp. 203-212 ◽  
Author(s):  
Rui Couto Viana ◽  
Lúcia Lima Rodrigues

AbstractIn this study, we estimate a cross-sectional hedonic price function for Port wines in order to determine the price influence of several Port wine characteristics. Drawing on a large sample of more than 14,000 sales from the biggest Port wine firms we find that market prices can be explained by objective characteristics such as age, type of Port and type of brand appearing on the bottle label and subjective characteristics such as firm reputation. The Port type is the main price determinant. (JEL Classification: C21, Q11)


2010 ◽  
Vol 25 (5) ◽  
pp. 894-901 ◽  
Author(s):  
Harry Haupt ◽  
Joachim Schnurbus ◽  
Rolf Tschernig

2018 ◽  
Vol 11 (3) ◽  
pp. 39 ◽  
Author(s):  
Mitsuru Sasaki ◽  
Kayoko Yamamoto

This study aims to offer a new estimate of the hedonic price function of residential areas in Japanese metropolitan areas, focusing on the reasons for residential preferences. More specifically, it introduces two new explanatory variables—‘regional vulnerability’ and ‘accessibility to destination stations’—and determines their usefulness. Based on the evaluation done in this study, the hedonic price function mentioned above showed 60% interpretability (as compared to 52% interpretability by hedonic price function using only conventional explanatory variables.) In addition, the significance level of both the explanatory variables was low, and the land price changed by 9% as the regional vulnerability changed by 1 grade. Furthermore, residents placed great emphasis on both variables. This made it evident that the introduction of the two explanatory variables that reflect the reasons for residential preferences specific to Japanese metropolitan areas was reasonable.


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.


1980 ◽  
Vol 17 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Brian T. Ratchford

A model expressing the relation between gains to search and a consumer's preference function is developed. For four of five appliances to which the model was applied, extensive search would not be worthwhile for a consumer whose preferences approximate the market hedonic price function.


2018 ◽  
Vol 120 (6) ◽  
pp. 1264-1279 ◽  
Author(s):  
Lala Hu ◽  
Andrea Baldin

PurposeThe purpose of this paper is to analyse the country of origin (COO) effect on wine purchase in China by considering a sample from an e-commerce website. The paper contribute to the literature on hedonic pricing by applying this model to the Chinese market and including COO as product attribute.Design/methodology/approachA hedonic price model is adopted to measure the effect of search attributes on wine sales in China. A reduced form of the classical hedonic analysis is used as in Nerlove (1995), given the assumption that prices and attributes are taken as exogenous to consumers.FindingsResults show that the COO represents the attribute that most influences wine sales in China. Protected indicators of origin, which denote wine with recognised certificates, are also significant, reinforcing the importance of the production area. Vintage attribute does not impact sales, suggesting a low level of consumer experience with wine.Research limitations/implicationsThe study suffers from the limitations of results’ generalisability, given the size and characteristics of the sample. In the future research, the model should be tested on a larger sample. Moreover, it can be applied on other products, in which COO represents an information and quality cue.Practical implicationsFirms operating in sectors where COO implies specific characteristics of quality should enhance this attribute in their marketing strategies to increase their competitive advantage. Also policy implications with respect to the governmental actions to support wine producers are discussed.Originality/valueHedonic price analysis represents a well-established model; however, to the best of the authors’ knowledge it has never been used in China before. This study also highlights the primary role of COO as search attribute in wine purchase.


2008 ◽  
Vol 173 (1) ◽  
pp. 145-161 ◽  
Author(s):  
Ruben Chumpitaz ◽  
Kristiaan Kerstens ◽  
Nicholas Paparoidamis ◽  
Matthias Staat

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