Property valuation: the hedonic pricing model: the application of search-and-matching models

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.

Hedonic Price Function for Residential Area Focusing on the Reasons for Residential Preferences in Japanese Metropolitan Areas

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.

Effect of Security on Hostels’ Price Premiums: A Hedonic Pricing Approach

This article evaluates the impact of security in the hostel industry on the willingness to pay by customers. More specifically, given the importance of security in the decision to travel and in the choice of a given destination, we analyze the impact of security guest reviews on a consumer-generated website on hostel room prices. Furthermore, we investigate whether the impact of security guest reviews on the hostel room prices is higher for the hostels located in the countries with the lowest ranking in the Global Peace Index. Finally, we examine whether females and older guests are willing to pay a premium in terms of price for a hostel with a higher level of security. For this purpose, we estimate a hedonic price function for a sample of consumer reviews of 477 hostels in 22 worldwide capitals, with different levels of peace, from Hostelworld. The results highlight the importance of security on the determination of hostel room prices. We find that customers are willing to pay a higher premium in terms of price, in the least worldwide peaceful countries, for a hostel room with higher levels of security. In the case of women and older guests, the premium they are willing to pay is higher.

Housing demand in Indian metros: a hedonic approach

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.

Hedonic Analysis of Housing Sales Prices with Semiparametric Methods

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.

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

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.

The Effects of Noise Pollution Produced by Road Traffic of Naples Beltway on Residential Real Estate Values

Noise pollution generated by road traffic represents a damage factor for property values when sound pressure levels exceeds normal tolerability limit. In fact, noise emissions over the normal tolerability limit cause a real estate values reduction and lower marketability in terms of willingness to pay by traders. In this study the effects of noise pollution produced by road traffic of Naples Beltway on residential real estate values​​ for a central urban area have been evaluated. These economic effects were evaluated using an econometric analysis of property prices (Land Price Analysis) based on a hedonic price function built through a semiparametric additive model (Penalized SplineSemiparametric Method) and applied to a sample of defined residential real estate market of Naples. In line with indications provided by wide literature examined, for increase of an sound level unit (expressed in dB) it was verified that average depreciation percentage for real estate values ranges from 0,30% (diurnal emissions) to 0,33% (nocturnal emissions).