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Journal articles on the topic 'Hedonic pricing'

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Published: 4 June 2021
Last updated: 10 March 2023

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1

Kask, S. B., and S. A. Maani. "Uncertainty, Information, and Hedonic Pricing." Land Economics 68, no. 2 (May 1992): 170. http://dx.doi.org/10.2307/3146772.

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2

Humavindu, Michael Nokokure, and Jesper Stage. "Hedonic pricing in Windhoek townships." Environment and Development Economics 8, no. 2 (April 23, 2003): 391–404. http://dx.doi.org/10.1017/s1355770x0300202.

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This study applies the hedonic pricing model to property sales in the township areas in Windhoek, the capital city of Namibia, where municipal authorities have pursued a programme of selling plots of land to settlers in order to encourage them into a formalized economic situation. We find that, apart from house quality, access to the central business district, access to marketplaces and access to transportation, environmental quality also has a large impact on property prices. Properties located close to a garbage dump sell at considerable discounts, while properties located close to a combined conservation and recreation area sell at premium prices. The results thus suggest that the hedonic pricing method can be useful for studying townships in developing countries, and that this can help to clarify the importance of environmental factors which are otherwise frequently neglected in town planning for township settlements.
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3

Shorish, Jamsheed. "Hedonic pricing of cryptocurrency tokens." Digital Finance 1, no. 1-4 (March 27, 2019): 163–89. http://dx.doi.org/10.1007/s42521-019-00005-y.

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4

Castro, Conceição, Fernanda A. Ferreira, and Flávio Ferreira. "Trends in hotel pricing." Worldwide Hospitality and Tourism Themes 8, no. 6 (December 5, 2016): 691–98. http://dx.doi.org/10.1108/whatt-09-2016-0047.

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Purpose The aim of this paper is to analyze and compare the effect of different hotel characteristics and room attributes on room rates of hotels in the cities of Lisbon and Porto, the capital and second most important city in Portugal. Design/methodology/approach Using the hedonic pricing method, hotel characteristics are decomposed and analyzed, giving us the perception of the impact of each hotel attributes on the room rates and the people’s willingness to pay for this. Ordinary least square regression analysis was applied to the hedonic price model to find which variables could explain differences in the hotel room rates in Lisbon and Porto. Findings The results suggest that in Lisbon and in Porto, a number of common characteristics have significant effects on consumer willingness to pay for a stay in a hotel as star rating, consumer rating and the room size. In Porto, the existence of a fitness centre and in Lisbon, the distance to the city centre are also attributes that create a premium in room rates. Practical implications The knowledge of the most valued characteristics by consumers is an important tool for hotel managers to define a price strategy. Also important is the knowledge of the attributes that provide more added value for consumers as these should be taken into account in new investment decisions. Originality/value This study highlights the implications of the way one defines and measures qualitative hotel characteristics in hedonic pricing. Although the hedonic method has been applied in several studies, to our knowledge, in Portugal, there are few studies applied only to hotel room rates, and there are no studies comparing hotel room rates in different Portuguese cities. Moreover, the research highlights the critical role of a proper definition and measurement of the variables in hedonic pricing in general and the hotel star in particular.
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Kazantsev, Yuri Yu. "HEDONIC PRICING AT NOVOSIBIRSK HOUSING MODERN MARKET." Interexpo GEO-Siberia 3, no. 1 (July 8, 2020): 75–80. http://dx.doi.org/10.33764/2618-981x-2020-3-1-75-80.

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The paper is aimed at searching a hedonic margin on housing in the city of Novosibirsk. Hedonic pricing confirms the price difference of residential properties in the context of a large list of matches. The methodology that has been proven in foreign studies is used to identify the causes of price differences, however, in this study we observe a traditional Soviet housing stock that is not competitive in modern urban planning. Usually the hedonic margin refers to the environmental or recreational characteristics of the area; thisstudy is more a tendency to the second option. It seems to be a novelty to reduce the complex of parameters of hedonic pricing to one key factor. The main problems of mathematical modeling of the hedonic behavior of the buyer in the real estate market in Novosibirsk are identified. The results are comparable with similar data from foreign colleagues.
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Sirmans, Stacy, David Macpherson, and Emily Zietz. "The Composition of Hedonic Pricing Models." Journal of Real Estate Literature 13, no. 1 (January 1, 2005): 1–44. http://dx.doi.org/10.1080/10835547.2005.12090154.

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7

Espinet-Rius, Josep Maria, Modest Fluvià-Font, Ricard Rigall-Torrent, and Anna Oliveras-Corominas. "Cruise tourism: a hedonic pricing approach." European Journal of Management and Business Economics 27, no. 1 (March 15, 2018): 101–22. http://dx.doi.org/10.1108/ejmbe-11-2017-0053.

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Purpose The purpose of this paper is to examine the effect on price of different cruise industry characteristics from the point of view of actual prices. The analysis is carried out from the supply side but taking into account the real prices paid by customers. Design/methodology/approach This paper uses the hedonic price methodology. To develop this research, a database of more than 36,000 prices paid by cruise passengers and different characteristics of ships in 2013 was built. To obtain the results, ten models have been developed with significant adjusted R2 of between 0.85 and 0.93 making the models and results robust. Findings The results show that the main attributes affecting prices are the number of nights of the itinerary, the departure date, the number of days before departure the booking is made, the accommodation type and some facilities, such as casinos, cinemas and swimming pools. The results also yield a ranking of ship companies based on price and quality dimensions. Finally, the authors suggest some implications for management and new research. Originality/value This paper offers a new approach in the academic literature of the cruise industry in two respects. First, in its use of a broad database of actual prices paid by passengers – more than 36,000 observations. Second, in the application of the hedonic pricing methodology, widely used in the tourism sector (see the Methodology and Database section) but until now not in the cruising segment.
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8

Capehart, Kevin W. "Fine Water: A Hedonic Pricing Approach." Journal of Wine Economics 10, no. 2 (August 4, 2015): 129–50. http://dx.doi.org/10.1017/jwe.2015.15.

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AbstractBottles of water vary in price with some priced as if they were bottles of fine wine. This article attempts to explain price differences between over 100 bottled waters included in a guidebook to fine waters by drawing on the hedonic pricing approach, which has been used to try to explain price differences among bottles of wine. As part of that approach, the price of each bottled water is regressed against various characteristics, including those related to its water. Water-related characteristics explain only a small part of the price differences among the bottled waters. Thus, to a large extent, the premium that consumers pay for a more expensive bottled water does not seem to be a premium for its water. (JEL Classifications: C21, Q25)
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Cavailhès, Jean, Thierry Brossard, Jean-Christophe Foltête, Mohamed Hilal, Daniel Joly, François-Pierre Tourneux, Céline Tritz, and Pierre Wavresky. "GIS-Based Hedonic Pricing of Landscape." Environmental and Resource Economics 44, no. 4 (June 27, 2009): 571–90. http://dx.doi.org/10.1007/s10640-009-9302-8.

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10

Cornelius, Barbara. "Valuing Opals: Hedonic Pricing in Practise." Indian Economic Journal 44, no. 4 (June 1997): 122–34. http://dx.doi.org/10.1177/0019466219970410.

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11

Aladwan, Zubeida, and Mohd Sanusi S. Ahamad. "Hedonic Pricing Model for Real Property Valuation via GIS - A Review." Civil and Environmental Engineering Reports 29, no. 3 (September 1, 2019): 34–47. http://dx.doi.org/10.2478/ceer-2019-0022.

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Abstract Hedonic pricing models in real property valuation have been frequently applied in many research studies and projects since it was introduced by Rosen in 1974. The development of Geographic Information Systems (GIS) in the recent decades has gradually supports the usage of hedonic model in the spatial data pricing model studies. Beside the basic advantages of GIS to position properties in terms of their geographic coordinates, it has the capabilities of dealing with reasonable amount of data, and wide choices of analysis that make it powerful tool to facilitate the building and implementation of the hedonic models within its framework. Many studies have employed GIS in real property valuation in their present work and for the future prediction. This paper reviews the works of literature on the GIS applications in the real property valuation employing the hedonic pricing models.
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Zhukova, Anna, Valeriya Lakshina, and Liudmila Leonova. "Hedonic Pricing on the Fine Art Market." Information 11, no. 5 (May 4, 2020): 252. http://dx.doi.org/10.3390/info11050252.

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In conditions of the stock market instability the art assets could be considered as an attractive investment. The fine art market is very heterogeneous which is featured by uniqueness of the goods, specific costs and risks, various peculiarities of functioning, different effects and, hence, needs special treatment. However, due to the diversity of the fine art market’s goods and the absence of the systematic information about the sales, researchers do not come to the same opinion about the merits of the art assets conducting studies on single segments of the market. We make an attempt to investigate attractiveness of the fine art market for investors. Extensive data was collected to obtain a complete pattern of the market analyzing it within different segments. We use the Heckman model in order to estimate the art asset return and find out the most influential factors of art price dynamics. Based on the estimates obtained we construct monthly art price index and compare it with S&P500 benchmark.
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13

Golan, A., and H. Shalit. "WINE QUALITY DIFFERENTIALS IN HEDONIC GRAPE PRICING." Journal of Agricultural Economics 44, no. 2 (May 1993): 311–21. http://dx.doi.org/10.1111/j.1477-9552.1993.tb00274.x.

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14

Pace, R. Kelley, and Shuang Zhu. "Implicit Hedonic Pricing Using Mortgage Payment Information." Journal of Real Estate Finance and Economics 54, no. 3 (September 20, 2016): 387–402. http://dx.doi.org/10.1007/s11146-016-9578-8.

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15

Chong, Terence Tai-Leung, and Xin Du. "HEDONIC PRICING MODELS FOR VEHICLE REGISTRATION MARKS." Pacific Economic Review 13, no. 2 (April 21, 2008): 259–76. http://dx.doi.org/10.1111/j.1468-0106.2008.00400.x.

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16

Pass, Brendan. "Interpolating between matching and hedonic pricing models." Economic Theory 67, no. 2 (May 16, 2018): 393–419. http://dx.doi.org/10.1007/s00199-018-1126-8.

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Alves, Denisard Cneio de Oliveira, Joe Akira Yoshino, Paula Carvalho Pereda, and Carla Jucá Amrein. "Modelagem dos Preços de Imóveis Residenciais Paulistanos." Brazilian Review of Finance 9, no. 2 (July 8, 2011): 167. http://dx.doi.org/10.12660/rbfin.v9n2.2011.2899.

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Hedonic modeling has become a benchmark for pricing real assets with several intrinsic characteristics. This work tests also others dimensions for asset pricing: the quality of life in the housing neighborhood and macroeconomic variables. The data is about the real estate market in São Paulo city from January 2001 to March 2008. The main results were: the longer the maturity of mortgage financing, the larger the housing price, but decreasing interest rate spread stimulate the real estate market, and the interactions between the dummy for the boom period and either housing characteristics or bank interest rates spread show that the hedonic model loses its relative importance for pricing, while market risk variables become much more relevant. Thus, these new findings suggests that for modeling a house price index it is not sufficient to consider only average prices or a hedonic approach, but both the market and credit risks as well.
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Lisi, Gaetano. "Property valuation: the hedonic pricing model – location and housing submarkets." Journal of Property Investment & Finance 37, no. 6 (September 2, 2019): 589–96. http://dx.doi.org/10.1108/jpif-07-2019-0093.

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Purpose The purpose of this paper is to comment upon the use of hedonic pricing models for the valuation of property. This model can be particularly useful for some housing markets. Design/methodology/approach This Education Briefing is an explanation of the how hedonic pricing can be useful in looking at the effect of “location” on the house prices within different submarkets using the Italian real estate market as an example. Findings Although, this case study is relatively straightforward, it shows how the application of the market approach can provide insights in cases where the comparable properties belong to different submarkets with relatively few transactions. Practical implications In cases of mass appraisals, hedonic pricing models can provide a broad indication of value across submarkets. Originality/value This paper develops a general framework that connects multiple regression analysis, direct comparison model and submarket binary variables.
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Nadia, El-Nemr, Canel-Depitre Beatrice, and Taghipour Atour. "The Determinants of Hotel Room Rates in Beirut: A Hedonic Pricing Model." International Journal of Trade, Economics and Finance 12, no. 2 (April 2021): 33–42. http://dx.doi.org/10.18178/ijtef.2021.12.2.690.

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This work attempts to identify locational, structural and other attributes that have an effect on room rates in Beirut region. Therefore, a sample of 89 hotels were considered in this study. Data were collected from TripAdvisor website during March 2019, considered as a low season in Lebanon. An OLS regression analysis was used to identify significant variables. Results has shown a strong positive significance of star rating category and accessible rooms, and a strong negative significance of centrally located, business and safe labels. Hotel managers are advised to use current findings and analysis to adjust their pricing strategies and communicated image.
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20

Shane, Elyse, MD Wahid Murad, and Susan Freeman. "Factors influencing price premiums of Australian wine in the UK market." International Journal of Wine Business Research 30, no. 1 (March 12, 2018): 96–116. http://dx.doi.org/10.1108/ijwbr-02-2017-0009.

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Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Social implications 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. Originality/value 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.
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Mohd Noor, Norzailawati, M. Zainora Asmawi, and Alias Abdullah. "GIS and Hedonic Pricing for Green Space in Housing Area." Asian Journal of Behavioural Studies 3, no. 12 (July 18, 2018): 81. http://dx.doi.org/10.21834/ajbes.v3i12.125.

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This paper explores a framework that combines Geographic information System (GIS) with Hedonic pricing method in improving the analysis and determining the value of green spaces with housing prices in Subang Jaya, Malaysia. The previous study found that proposed combination between GIS and Hedonic pricing method for the same purpose has not been fully explored particularly in Malaysia. Findings show the proposed combined method leads to improved understanding and representation of urban dynamics and regeneration process, furthermore will encourage a sustainable setting of the environmental amenities in improving the geospatial technologies respectively.Keywords: GIS, Hedonic Pricing Method, green Spaces and urban regenerationeISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
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Kim, Jinwon, Sukjoon Yoon, Eunjung Yang, and Brijesh Thapa. "Valuing Recreational Beaches: A Spatial Hedonic Pricing Approach." Coastal Management 48, no. 2 (March 3, 2020): 118–41. http://dx.doi.org/10.1080/08920753.2020.1732799.

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Bateman, Ian. "Contingent valuation and hedonic pricing: problems and possibilities." Landscape Research 19, no. 1 (March 1994): 30–32. http://dx.doi.org/10.1080/01426399408706420.

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Raboy, David G., and Steven N. Wiggins. "Intangible Capital, Hedonic Pricing, and International Transfer Prices." Public Finance Review 25, no. 4 (July 1997): 347–65. http://dx.doi.org/10.1177/109114219702500401.

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Hahn, William F., and Kenneth H. Mathews. "Characteristics and hedonic pricing of differentiated beef demands." Agricultural Economics 36, no. 3 (May 2007): 377–93. http://dx.doi.org/10.1111/j.1574-0862.2007.00214.x.

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26

Soler, Ismael P., German Gemar, Marisol B. Correia, and Francisco Serra. "Algarve hotel price determinants: A hedonic pricing model." Tourism Management 70 (February 2019): 311–21. http://dx.doi.org/10.1016/j.tourman.2018.08.028.

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Lisi, Gaetano. "Hedonic pricing models and residual house price volatility." Letters in Spatial and Resource Sciences 12, no. 2 (June 27, 2019): 133–42. http://dx.doi.org/10.1007/s12076-019-00232-2.

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Lenz, John E., Ron C. Mittelhammer, and Joe K. Hillers. "Pricing Milk Components at Retail via Hedonic Analysis." Journal of Dairy Science 74, no. 6 (June 1991): 1803–14. http://dx.doi.org/10.3168/jds.s0022-0302(91)78345-8.

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Kwong, Lester M. K., Don Cyr, Joseph Kushner, and Tomson Ogwang. "A Semiparametric Hedonic Pricing Model of Ontario Wines." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 59, no. 3 (December 22, 2010): 361–81. http://dx.doi.org/10.1111/j.1744-7976.2010.01209.x.

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30

Famuyiwa, Funlola, and Gabriel Kayode Babawale. "Hedonic values of physical infrastructure in house rentals." Journal of Facilities Management 12, no. 3 (July 1, 2014): 211–30. http://dx.doi.org/10.1108/jfm-05-2013-0027.

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Purpose – The purpose of this study is to examine the relationship and pricing effects of physical infrastructure on house rents using the hedonic technique. Design/methodology/approach – 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. Findings – Results reveal significant impacts and a range of price premium estimates of physical infrastructure on house rents in the study area. Originality/value – 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.
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Irvine, Kim, Bing Han Choy, Lloyd HC Chua, Jarrod Gaut, Huu Loc Ho, and Nij Tontisirin. "Hedonic Pricing to Monetize Ecosystem Services Provided by Water Sensitive Urban Design: A Comparison of Geelong, Australia and Singapore." Nakhara : Journal of Environmental Design and Planning 19 (December 31, 2020): 59–78. http://dx.doi.org/10.54028/nj2020195978.

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Water Sensitive Urban Design (WSUD) features increasingly are used for urban water management, green urban design, and improved community liveability, but relatively less data are available on the ecosystem services that WSUD provides. We used hedonic pricing, supported by qualitative surveys, in Geelong, Australia and Singapore, to evaluate benefits related to large WSUD features. For both locations there was a significant (α=0.05) inverse relationship between sale price of a residence and distance to the WSUD features. Qualitative surveys corroborated the hedonic pricing analysis, as a majority of people appreciated benefits accrued from living near WSUD features.
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Zhao, Chunfang, Yingliang Wu, Yunfeng Chen, and Guohua Chen. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China." Sustainability 15, no. 2 (January 16, 2023): 1703. http://dx.doi.org/10.3390/su15021703.

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An investigation into the pricing mechanism of Airbnb is crucial for achieving the sustainable development of sharing economy accommodations and has great academic and practical significance. The existing pricing studies on sharing economy accommodation have identified a set of important factors impacting prices based on the hedonic price model. However, the spatial scale of the impact of various hedonic attributes on Airbnb listing prices is not yet clear. This study takes Beijing, China, as a case study; develops a conceptual framework that incorporates four categories of hedonic attributes; and uses a spatial heterogeneity perspective to investigate the multiscale spatial effects of various attributes on the prices of Airbnb listings. Our findings revealed the following: (1) The explanatory power of different categories of attributes towards listing prices varies from high to low, as follows: functional attributes, locational attributes, reputational attributes, and host status attributes, among which the functional attributes are the most important determinants of Airbnb listing prices. (2) There are multiscale, spatially heterogeneous relationships between Airbnb listing attributes and prices. Specifically, the functional attribute variables have local influencing scales, the reputation attribute variables have regional scales, and the variables of host status and locational attributes have global scales. (3) Compared with ordinary least squares (OLS) regression and geographically weighted regression (GWR), multiscale geographic weighted regression (MGWR) improves overall modelling ability by introducing multiple scales and is better suited to illuminating the hedonic pricing of sharing economy accommodations. This study provides new insights into the spatially varied relationships between listing attributes and Airbnb listing prices, which can deepen our understanding of sharing economy accommodation and help hosts formulate location-based pricing strategies.
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Mallios, Zisis. "Irrigation Water Valuation Using Spatial Hedonic Models in GIS Environment." International Journal of Information Systems and Social Change 1, no. 4 (October 2010): 1–13. http://dx.doi.org/10.4018/jissc.2010100101.

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Hedonic pricing is an indirect valuation method that applies to heterogeneous goods investigating the relationship between the prices of tradable goods and their attributes. It can be used to measure the value of irrigation water through the estimation of the model that describes the relation between the market value of the land parcels and its characteristics. Because many of the land parcels included in a hedonic pricing model are spatial in nature, the conventional regression analysis fails to incorporate all the available information. Spatial regression models can achieve more efficient estimates because they are designed to deal with the spatial dependence of the data. In this paper, the authors present the results of an application of the hedonic pricing method on irrigation water valuation obtained using a software tool that is developed for the ArcGIS environment. This tool incorporates, in the GIS application, the estimation of two different spatial regression models, the spatial lag model and the spatial error model. It also has the option for different specifications of the spatial weights matrix, giving the researcher the opportunity to examine how it affects the overall performance of the model.
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Gibbs, Chris, Daniel Guttentag, Ulrike Gretzel, Jym Morton, and Alasdair Goodwill. "Pricing in the sharing economy: a hedonic pricing model applied to Airbnb listings." Journal of Travel & Tourism Marketing 35, no. 1 (April 10, 2017): 46–56. http://dx.doi.org/10.1080/10548408.2017.1308292.

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Brown, Jeff E., and Don E. Ethridge. "Functional Form Model Specification: An Application to Hedonic Pricing." Agricultural and Resource Economics Review 24, no. 2 (October 1995): 166–73. http://dx.doi.org/10.1017/s1068280500008807.

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A combination of conceptual analysis and empirical analysis—partial regression and residuals analysis—was used to derive an appropriate functional form hedonic price model. These procedures are illustrated in the derivation of a functional form hedonic model for an automated, econometric daily cotton price reporting system for the Texas-Oklahoma cotton market. Following conceptualization to deduce the general shapes of relationships, the appropriate specific functional form was found by testing particular attribute transformations identified from partial regression analysis. Minimizing structural errors across attribute levels and estimation accuracy were used in determining when an appropriate functional form for both implicit and explicit prices was found.
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Ismail, Nur Hafizah, Mohd Zaini Abd Karim, and Bakti Hasan Basri. "Does Flood Affect Property Values? A Hedonic Analysis of Residential Property Values in Peninsular Malaysia." Journal of Business Management and Accounting 4 (February 23, 2020): 1–14. http://dx.doi.org/10.32890/jbma2014.4.0.8875.

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The hedonic pricing model (HPM) has been used to identify the values of residentialproperty due to flood impact. Most of the previous studies had been conducted usingflood frequency and flood depth to measure flood variables rather than flood duration.The hedonic pricing study presented here investigated the effect of flood duration onresidential property value in Peninsular Malaysia. We measured the housing attributesinvolving location, structural, and neighborhood attributes. We also developed theinteraction variable between flood and structural attributes to determine whether theeffect of flood duration on residential property value differs across house age, size ofland area, and number of bedroom. The results suggest that the sale price of residentialproperty is significantly decreased by 0.015 percent due to flood.
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My-Linh. "The Hedonic Pricing Model Applied to the Housing Market." International Journal of Economics and Business Administration VIII, Issue 3 (July 1, 2020): 416–28. http://dx.doi.org/10.35808/ijeba/526.

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Gillmeister, William J., Robert D. Yonkers, and James W. Dunn. "Hedonic Pricing of Milk Components at the Farm Level." Applied Economic Perspectives and Policy 18, no. 2 (May 1996): 181–92. http://dx.doi.org/10.2307/1349431.

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Sulistyo, A., A. Mubarak, and Hendris. "A Hedonic Pricing Model of Rice in Traditional Markets." IOP Conference Series: Earth and Environmental Science 748, no. 1 (April 1, 2021): 012022. http://dx.doi.org/10.1088/1755-1315/748/1/012022.

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Abstract Every consumer would expect rice at an affordable price with a very good quality. This study aims to determine the quality of rice and estimate the hedonic price model of rice in the traditional market of Tarakan City. This research was conducted at the traditional market in Tarakan City, North Kalimantan. Analysis of the data was is descriptive analysis and multiple linear regression analysis. The results showed that the quality of rice found in the traditional market in Tarakan City was medium grain. The characteristics of rice that affected rice prices were chalk grains, head grains and yellow grains. While foreign objects, small grains, red grains and broken grains had no effect on the price of rice.
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Liang, Ji, and Chunhui Yuan. "Data Price Determinants Based on a Hedonic Pricing Model." Big Data Research 25 (July 2021): 100249. http://dx.doi.org/10.1016/j.bdr.2021.100249.

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Buccola, Steven, and Yoko Iizuka. "Hedonic Cost Models and the Pricing of Milk Components." American Journal of Agricultural Economics 79, no. 2 (May 1997): 452–62. http://dx.doi.org/10.2307/1244143.

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Garrod, G. D. "Using the hedonic pricing model to value landscape features." Landscape Research 19, no. 1 (March 1994): 26–28. http://dx.doi.org/10.1080/01426399408706418.

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Chen, Yong, and Karen Xie. "Consumer valuation of Airbnb listings: a hedonic pricing approach." International Journal of Contemporary Hospitality Management 29, no. 9 (September 11, 2017): 2405–24. http://dx.doi.org/10.1108/ijchm-10-2016-0606.

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Purpose This paper aims to identify a wide array of utility-based attributes of Airbnb listings and measures the effects of these attributes on consumers’ valuation of Airbnb listings. Design/methodology/approach A hedonic price model was developed to test the effects of a group of utility-based attributes on the price of Airbnb listings, including the characteristics of Airbnb listings, attributes of hosts, reputation of listings and market competition. The authors examined attributes as they relate to the price of Airbnb listings and, therefore, estimated consumers’ willingness to pay for the specific attributes. The model was tested by using a dataset of 5,779 Airbnb listings managed by 4,602 hosts in 41 census tracts of Austin, Texas in the USA over a period from Airbnb’s launch in Texas up until November 2015. Findings The authors found that the functional characteristics of Airbnb listings were significantly associated to the price of the listings, and that three of five behavioral attributes of hosts were statistically significant. However, the effect of reputation of listings on the price of Airbnb listings was weak. Originality/value This study inspires what they call a factor-endowment valuation of Airbnb listings. It shows that the intrinsic attributes that an Airbnb listing endows are the primary source of consumer utilities, and thus consumer valuation of the listing is grounded on its functionality as an accommodation. This conclusion can shed light on the examination of competition between Airbnb and hotel accommodations that are built on the same or similar intrinsic attributes.
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Yoo, E. H., and P. C. Kyriakidis. "Area-to-point Kriging in spatial hedonic pricing models." Journal of Geographical Systems 11, no. 4 (June 13, 2009): 381–406. http://dx.doi.org/10.1007/s10109-009-0090-z.

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Robst, John. "Estimation of a Hedonic Pricing Model for Medigap Insurance." Health Services Research 41, no. 6 (December 2006): 2097–113. http://dx.doi.org/10.1111/j.1475-6773.2006.00591.x.

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Lake, Iain R., Andrew A. Lovett, Ian J. Bateman, and Brett H. Day. "Improving Land Compensation Procedures via Gis and Hedonic Pricing." Environment and Planning C: Government and Policy 18, no. 6 (December 2000): 681–96. http://dx.doi.org/10.1068/c9911j.

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Tapsuwan, Sorada, and Maksym Polyakov. "Correctly Specifying Environmental Assets in Spatial Hedonic Pricing Models." Society & Natural Resources 29, no. 2 (July 9, 2015): 233–49. http://dx.doi.org/10.1080/08941920.2015.1024808.

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Miyamoto, Michiko, and Hiroe Tsubaki. "A linear mixed model for the hedonic pricing model." Applied Stochastic Models in Business and Industry 18, no. 3 (2002): 259–70. http://dx.doi.org/10.1002/asmb.470.

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Hartman, Raymond S. "Hedonic methods for evaluating product design and pricing strategies." Journal of Economics and Business 41, no. 3 (August 1989): 197–212. http://dx.doi.org/10.1016/0148-6195(89)90018-0.

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Caudill, Steven B., and Franklin G. Mixon. "Estimating Bargaining Power in Real Estate Pricing Models: Conceptual and Empirical Issues." Journal of Risk and Financial Management 13, no. 5 (May 23, 2020): 105. http://dx.doi.org/10.3390/jrfm13050105.

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The relative bargaining power of the buyer and seller is a key feature of real estate pricing models. Classic real estate studies have sought to address bargaining effects in hedonic regression models. Prior research proposes a procedure to estimate bargaining effects in hedonic regression models that depends critically on a substitution to eliminate omitted variables bias. This study shows that the proposed solution that is often cited in the real estate economics literature does not solve the omitted variables problem given that both models are merely different parameterizations of the same model, and thus produces biased estimates of bargaining power when certain property characteristics are omitted. A classic hedonic regression model of real estate prices using Corsican apartment data supports our contention, even when the assumption of bargaining power symmetry is relaxed.
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