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The purpose of this paper is to estimate the expectations component contained in the asking price of residential property, in order to assess whether expectation plays a relevant role in house price appreciation. The paper tests the role of housing characteristics and value perception on asking price.

The hypothesis tested in this paper is that asking price of residential properties includes an element of price expectation. The analysis utilises a valuation database of about 1,900,000 records for the Spanish housing market, each record contains information on the price that owners expect to obtain on the sale of their property and housing and neighbourhood characteristics. There are three stages to the analysis. Regression analysis is used to estimate the hedonic models and separate that part of the price arising from housing heterogeneity, a two‐stage least squares model estimates the role of expectations and a metadata approach measures those characteristics that explain the change in the explanatory power of the hedonic models over time.

The results show that the explanatory power of hedonic models change with time suggesting that the point in the market cycle modifies the perception of price. The results indicate that the theoretical variables which explain expectations account for about 8 per cent of price, with most of the unexplained element of asking prices due to reasons related with local market conditions.

This paper offers two original insights. First, the paper presents analysis based on asking prices and shows how this could be used as a tool to measure house price expectations. Second, the paper provides further perspectives of the Spanish housing market based on a major database of observations.

The purpose of this study is to examine the relationship and pricing effects of physical infrastructure on house rents using the hedonic technique.

Primary data are derived through a questionnaire survey and secondary data from existing literature. Sampling data on 211 detached residential buildings with a range of physical infrastructure attributes within Lekki Phase 1 area of Lagos are analysed with the hedonic regression technique.

Results reveal significant impacts and a range of price premium estimates of physical infrastructure on house rents in the study area.

The study suggests a nouvelle and contextualized approach for sustainable infrastructure delivery, improvement and maintenance. Appropriate pricing will help to guide and support physical infrastructure development and sustainability. When tailored in line with market support, achievable pricing can be attained in setting land-based user charges and tariffs for cost recovery on projected developments and reform. Results from empirical market evidence also provide demand and viability indicators that offer invaluable blueprints, by which governments, policy/decision makers, investors, town-planning authorities and other stakeholders can take sustainable decisions based on priority, in the face of budgetary constraints – a significant characteristic of the Nigerian economy.

This study aims to examine the impact of relative importance of local characteristics, distance from the city centre and unobservable spatial relation in explaining values of constant‐quality apartment units in Vienna.

Drawing on recent developments in spatial econometrics and spatial hedonic house price modelling, the rent gradient hypothesis is examined by means of hedonic regression and spatial hedonic regression. Spatial autocorrelation tests are applied in order to assess possible presence of spatial dependence. The authors borrow Florax et al.'s specification search strategy in order to choose the most appropriate spatial model specification.

This research shows that local characteristics – or particularities – proxied by district and distance from the city centre are important location variables with regard to the Viennese apartment market. The spatial analysis suggests that the apartment prices are spatially autocorrelated and the Viennese apartment market has a distance‐based neighbourhood structure. The main finding is, however, that residents are willing to bid more for constant‐quality apartment units that are close to the centre of the city.

Rent gradient hypothesis is usually tested within non‐spatial hedonic frameworks: this study estimates a spatial hedonic model additionally in order to allow for comparison of results. This is also the first article to apply recent developments in spatial econometrics to examine explicitly rent gradient theory in the context of the Viennese apartment market.

Cause-related marketing (CRM) is a sales strategy that is used to improve the success of a product by including a donation to a charitable cause in its price. While marketers can present CRM donations to consumers as either absolute amounts or percentages, the predominant practice in marketing is to use the latter. As the influence of such presentation formats is not well understood, the purpose of this paper is to systematically examine their effects while taking into account the numerical ability (numeracy) of the consumers.

In two experiments, the presentation format of the donation amounts (absolute vs percentage) were manipulated and individual differences in numeracy were measured. The product type (hedonic vs utilitarian) and sales price were varied. We found this effect for high and low price levels and for hedonic and utilitarian products.

The results of both experiments consistently supported the hypothesis presented in this paper that for people with lower numeracy, their purchase intentions were higher when absolute donation amounts were presented. We found this effect for high and low price levels and for hedonic and utilitarian products.

The present paper shows that the current practice of presenting donations in percentages is inferior to presenting donations in absolute amounts because a large number of consumers have trouble interpreting percentages appropriately. Therefore, it indicates that the default option for marketing managers should be to present donations in absolute amounts for hedonic and utilitarian products with low and high prices.

The purpose of this paper is to determine and analyse that factors that could potentially influence price premiums of Australian wine in the UK market. The authors integrated the economic-based hedonic pricing theory and marketing export pricing literature. The authors demonstrate a potential solution to limitations in knowledge of market-level data and industry wide competition, currently lacking in export pricing studies.

Using data extracted from wine-searcher.com and using multiple regression as the main analytical technique, the authors examined the relationships between actual retail prices UK consumers pay for Australian wine and product attributes. The authors compared the moderating influence of distribution channel (retail choice) on these relationships.

The results provide insights in export pricing literature, and the authors support better theoretical explanations for hedonic pricing studies in export marketing. The authors found two types of wine attributes – “brand” and “region of origin” – that attract price premiums. While relationships between variety and retail price, as well as age and retail price are less clear, the authors provide some support.

One limitation of this hedonic pricing study is the inability to explain why certain relationships between product attributes and price premiums exist. Studies such as these could be improved by utilising both consumer- and firm-level data.

Whilst final prices paid by consumers are beyond the control of producers, understanding the relationships between retail prices, retail choices and product attributes are of strategic importance. Understanding the role consumer preferences play in determining prices they ultimately pay is of great value when determining export/retail pricing strategies.

Consumers and firm managers are jointly able to provide comprehensive explanations on why certain attributes attract price premiums. The integration of economic and consumer-based theories provides a holistic understanding of the influence of retail choices and product attributes on retail prices.

The authors drew on the hedonic pricing theory linking product attributes with retail prices, which is vital for understanding market share and brand image. The authors identified which product attributes and which distribution channels (retail choices) are valuable to consumers. Deeper understanding of these issues is important for producers.

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.

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).

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.

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.

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 Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.

A quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.

The results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.

Although some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.

Online shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.

The estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.

The approved methodology of property valuation in Albania evaluates the reference property prices based on the average contractual price of properties sold and takes into account only factors such as price, square meters of living and location of property. Simple method is the one used on evaluating the reference price for a group of properties with similar characteristics. The purpose of this study is, by building a hedonistic pricing model for apartments in Tirana, to prove empirically that in addition to location, there are other characteristics that affect the value of apartments.

The capital city is chosen as a case study for the construction of a hedonistic pricing model. In the database were included detailed characteristics of 1,421 apartments. Multiple regression analysis was chosen in this model as a method to test hypotheses about the causal relationship between house value Y and independent variables X_S, representing the characteristics of the property. Population equation parameters β0, β1, β2 […], βn. were evaluated by the ordinary least squares method. Selection of α-standard is 5 per cent, taking into account the significant number of observations and the degree of regression freedom.

Based on this study, it was proved empirically that the characteristics of the apartments as square meters of living, number of rooms, access to parking, furniture, view and surface of living affect their price. As a literature review showed, location is the most important variable that affects the value. Results showed that the marginal effect that the number of rooms has on the apartment value depends on the square meters of living of the apartment. In the same line, the effect of the square meters of living on value depends on the square meters, as the relationship between these variables is nonlinear and depends more on the number of rooms.

It was impossible to find the information on property sales contracts. That is why this study was oriented toward the market and took into account the properties offered for sale at one of the biggest real estate agency “Çelësi”. More accurate information regarding properties characteristics could be obtained. The information was limited and depended on the best apartment characteristics that potential sellers wanted to advertise. On the other side, contractual sales price is oriented by the reference price, so, the applied methodology has resulted in better evaluations of real estate prices, which reflect the market price.

This study is conducted as an applicable research. After analyzing the property valuation system in Albania, the study recommends the change of the method used on apartment valuation. Improvement of the property valuation system requires first of all creation of a complete and updated database for all real estate sales.

Property valuation is a very important function of the land administration system which directly affects people’s life. Property evaluation for different purposes like tax evaluation, compensation and expropriation is a process that must be designed using an equal, transparent and well-accepted methodology by all. Promotion of property valuation system development is helpful to various interest groups in society, as it can reduce the risk of investment in this sector and encourages lower rates of interest on loans.

To the author's knowledge, the hedonic model is not applied on the Albanian housing market, thus providing encouragement to deepen the study in this regard. The study is original and has a very important impact on policymakers to change the actual property valuation methodology to obtain more accurate property values.

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

The purpose of this paper is to provide technically robust indicators of housing market performance from the records held by the Ghana Land Valuation Board, through the construction of the first ever residential price and rent indices for the aggregate and disaggregate markets.

The approach involved time series produced from hedonic models using 3,250 transaction‐based data, running from 1992 to 2007, and documents on movements in capital and rental values in Accra and Tema, the dominant commercial conurbations in the country.

The paper makes a major contribution to knowledge and understanding of housing market dynamics in Ghana. The results suggest that the derived price and rent indices look, at first sight, reasonably plausible with cyclical trends showing weak and strong patches.

The paper focuses on the development of formal housing markets through a detailed case study of Ghana, and provides findings and models of a wider application in other emerging economies.