Academic literature on the topic 'Hedonic Price Analysis'

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Journal articles on the topic "Hedonic Price Analysis"

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Dority, Bree L., Dayna Larreau, and Frank Tenkorang. "Hedonic Price Analysis of Non-Barren Broodmares." Review of Economic and Business Studies 9, no. 2 (2016): 61–75. http://dx.doi.org/10.1515/rebs-2016-0034.

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AbstractThe current real average selling price of a thoroughbred broodmare is nearly half its peak value in 2000. While annual price changes are influenced by economic performance, different prices at an auction are influenced by physical and genetic characteristics of broodmares. We use auction data from the 2013 November Keeneland Breeding Stock Sales to estimate a hedonic pricing model. We find prices are positively influenced by earnings of the covering sire, earnings of the broodmare, pedigree, and the racing performance of broodmare progeny. Conversely, the age of a broodmare and the day on which the horse sold have dampening effects on broodmare prices.
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Zhang, Xiao Hong, Li You Fu, and Hang Zhang. "Hedonic Price Analysis on Mobile Phone Market." Advanced Materials Research 418-420 (December 2011): 2200–2205. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.2200.

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Using collected 190 samples, this paper studied Chinese mobile phone market with hedonic price analysis. Through calculating hedonic price of heterogeneous goods, this paper summed up the positive and negative factors that influence the price of mobile phones. This paper found that network type and GPS are negative effects on mobile phones’ prices, which is little different from the real life situation; And the price will become more and more cheaper with time; In addition, the price of mobile phones with additional features is correspondingly higher.
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Karaman, S., and F. Yavuz. "Hedonic price analysis of the quality characteristics of Anatolian hard red wheat." Agricultural Economics (Zemědělská ekonomika) 60, No. 10 (2014): 469–78. http://dx.doi.org/10.17221/37/2014-agricecon.

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The study analyses the relations between the quality characteristics and price of the Anatolian Hard Red Wheat. It uses a data set consisting of the price and eight quality characteristics of the Anatolian Hard Red Wheat traded in spot transaction in each month of 2011 in the Polatli Commodity Exchange. Marginal implicit values of the quality characteristics of the Anatolian Red Hard Wheat traded in the spot market of the Polatli Commodity Exchange are determined through the hedonic price model. This model is estimated from the linear-log functional form. Results of the hedonic price model demonstrate that the quality characteristics, which are statistically significant in the determination of price, namely, the protein content, the hectolitre weight, and the grain content damaged by pests and wheat bugs, are important factors in the purchasing decisions of flour millers. As the protein content and the hectolitre weight of wheat increase by 1%, the price increases by TL 0.005 and TL 0.006, respectively. As the grain content damaged by pests and wheat bugs increases by 1%, the price of wheat drops by TL 0.0002. These marginal implicit values are expected to encourage wheat producers to produce the higher quality wheat.  
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Del Giudice, Vincenzo, Benedetto Manganelli, and Pierfrancesco De Paola. "Hedonic Analysis of Housing Sales Prices with Semiparametric Methods." International Journal of Agricultural and Environmental Information Systems 8, no. 2 (2017): 65–77. http://dx.doi.org/10.4018/ijaeis.2017040105.

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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.
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Rao, H. Raghav, and Brian D. Lynch. "Hedonic price analysis of workstation attributes." Communications of the ACM 36, no. 12 (1993): 95–102. http://dx.doi.org/10.1145/163298.163348.

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Sivaram, Muniandy, and Kizhakkoottu Gopinathan Nayana. "Hedonic Price Analysis of Teak Logs." Small-scale Forestry 12, no. 4 (2013): 597–609. http://dx.doi.org/10.1007/s11842-012-9233-z.

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Park, Na-Hee, and Hong-Bumm Kim. "Analysis of American wine prices using Hedonic price model." Korean Journal of Hospitality & Tourism 27, no. 7 (2018): 179–98. http://dx.doi.org/10.24992/kjht.2018.10.27.07.179.

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Bourassa, Steven C., Eva Cantoni, and Martin Hoesli. "Robust hedonic price indexes." International Journal of Housing Markets and Analysis 9, no. 1 (2016): 47–65. http://dx.doi.org/10.1108/ijhma-11-2014-0050.

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Purpose – The purpose of this paper is to demonstrate the application of robust techniques to the estimation of hedonic house price indexes. Design/methodology/approach – The authors use simulation analysis to compare an index estimated using ordinary least squares (OLS) with several indexes estimated using robust techniques. The analysis uses sales transactions data from a US city. The authors then explore how robust methods can correct for omitted variables under some circumstances and how they affect the revision problem that occurs when longitudinal hedonic indexes are updated. Findings – Robust methods can resolve missing variable problems in some circumstances and also can substantially reduce the revision problem in longitudinal hedonic indexes. Practical implications – Robust techniques may be preferable to OLS when constructing longitudinal hedonic indexes. Originality/value – This is the first paper to undertake a systematic analysis of the applicability of robust techniques in constructing hedonic house price indexes.
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Du Preez, Mario, and Michael Sale. "Municipal assessments versus actual sales prices in hedonic price studies." Journal of Economic and Financial Sciences 8, no. 1 (2015): 35–46. http://dx.doi.org/10.4102/jef.v8i1.82.

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In most hedonic price model studies, the actual sales price of a property is employed as the dependent variable in the parametric regression analysis. Although the use of this price is pervasive, alternatives to it do exist. One such alternative is the assessed property value, which is more readily available than the actual property price. The aim of this study is to compare implicit price estimates of property characteristics (both structural and locational) based on actual sales price data and assessed property values. To this end, a seemingly unrelated regression with two hedonic price equations is used, one which employs actual market prices as the dependent variable and the other which employs assessed values. The results show that the hypothesised influence of structural and locational housing characteristics on residential property prices is the same for assessed values, and actual market prices cannot be accepted. This finding should act as a caution for hedonic practitioners not to base their conclusions and recommendations solely on the use of assessed values in hedonic price models.
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Gunawardana, Pemasiri J., and Inka I. Havrila. "An Analysis of Restaurant Characteristics and Meal Prices in Melbourne, Australia." Tourism Economics 2, no. 1 (1996): 79–93. http://dx.doi.org/10.1177/135481669600200105.

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This paper applies the hedonic price function approach to identify and estimate the variations in meal prices according to various characteristics of a sample of restaurants in Melbourne, Australia. The estimated hedonic price functions have important implications for restaurant marketing strategies and provide useful information to customers, and may serve to improve the efficiency in the market for restaurant dining. From the point of view of restaurant operators, the results indicate how short-term and long-term investment decisions may be made to impart particular characteristics. From the perspective of customers, the results provide information on price premia and discounts for restaurant meals according to each of the characteristics, including locations.
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Dissertations / Theses on the topic "Hedonic Price Analysis"

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Freeborn, Jennifer. "Hedonic price analysis of the internet recreational equine market." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1129.

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Ritchie, Jennifer Leigh. "Hedonic Price Analysis of Cool Climate Wines in Selected Regions." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/606.

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Many economists have estimated hedonic price models for wine. The price of wine is thought to represent the various characteristics that differentiate each bottle, assuming that the majority of consumers use price as a signal of quality. The objective of this paper is to identify and examine what factors impact cool climate wine varietals by region based on various attributes. It uses two datasets, one from the Wine Spectator and the other from Beverages and More, an outlet of a liquor store chain in San Luis Obispo, California. The analysis aims to determine which variables impact the price of wine and by what magnitude. Variables include variety, region, quality ratings by price category, number of cases and gallons produced, vintage, alcohol content, cork type, and various label attributes. This study is unique as hedonic price analysis is used as an extension of a unique product category. Past literature has shown a growing interest in cool climate wine production and that cool climate regions are preferred to other regions. This study examines an emerging varietal, Riesling, in addition to other popular varieties including Chardonnay, Sauvignon Blanc and Pinot Noir. As Riesling thrives in cooler climates, it is becoming an increasingly popular variety among both producers and consumers. Unlike other studies that tend to incorporate mostly New World regions, this study is expanded to include more regions and other attributes that may be important when making wine purchasing decisions. It also considers the possibility that there is a consumer demand difference between Old World and New World cool climate regions. Specifically for both red and white varietals, New World wines have increased in volume sales, whereas Old World wines volume sales have decreased. In addition, many economists have estimated hedonic price functions using expert scores. However, this study is unique to others as it expands the use of quality ratings by including interaction terms to express both wine-quality and price-quality relationships. The study confirms the results of previous literature, concluding that the majority of all variables identified significantly influence the price of wine. Previous economic and statistic research related to wine focuses on topics that are important for warm climate wines, while issues concerning cool climate wines are understudied. Thus, there is a need for research that focuses exclusively on cool climate wines.
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Steiner, Bodo Ernst. "In vino qualitas : an hedonic analysis of wine consumers behaviour." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323512.

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Ustaoslu, Eda. "Hedonic Price Analysis Of Office Rents: A Case Study Of The Office Market In Ankara." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1079342/index.pdf.

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This thesis analyzes variations in office rents in Ankara. The theoretical background of this study is related to the hedonic methodology, which is extensively applied for explaining price or rental price variations of the real property. Given this theoretical framework, hedonic regression model is utilized for the estimation of hedonic price indices by using the cross sectional data of the office market in Ankara for the year 2002. Hedonic price function is specified in the log linear functional form and is estimated with the Ordinary Least Squares technique for two models. The models include the same variables<br>however, Model 1 differs from Model 2 in including the location variables. The estimation results obtained from the models suggest that height and construction quality of the building act as proxies for the locational characteristics. Also, it is found from Model 1 that locational characteristics have the greatest effect on the rental prices of the office units. In order to verify this fact, Model 1 is tested against Model 2 and vice versa based on alternative tests for non-nested models. The results of non-nested tests indicate that Model 1 is preferred to Model 2. This result is important in the sense that locational characteristics are found to be significant in explaining the rental price variations. Besides location variables, the other variables related to physical attributes and lease characteristics of the office property are also evaluated from the estimation results of Model 1. From the empirical results, it is finally concluded that locational characteristics explain the spatial rent variations of the office property in Ankara to a large extent.
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Asadi, Mehrnoosh. "Evaluating the Economic Impact of Recreational Charter Fishing in Florida Using Hedonic Price and Economic Impact Analysis." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2547.

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Florida is the “Fishing Capital of the World”. With 3.1 million recreational anglers and total recreational fishing-related expenditures of $5 billion in 2011, Florida ranked first in the nation. Given the large benefits of recreational fishing in Florida, assessing the preferences of anglers is critical for sustaining the substantial benefits obtained from recreational fishing in Florida. The objective of this study is to estimate the value of fishing attributes using data on recreational fishing services offered by guides and outfitters. Hedonic price models are applied to estimate the implicit prices of fishing trip attributes and features. The estimated total economic impacts suggest that recreational fishing activities have added $151.19 million value to the economy of Florida and generated $69.73 million in total output. The results can be used by state and national policymakers for future policy design and management of this unique ecosystem service to ensure a sustainable economy.
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Neill, Kaitlin D. "A hedonic analysis of the effect of expert wine ratings on price and retailer profits." Honors in the Major Thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/484.

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During the last few decades, economists have become interested in the wine industry and several of them have focused on the determinants of price. One characteristic that has been identified as an important determinant is expert wine ratings. Much of the previous research on this topic has focused on relating expert grades to the retail price of wine. Using proprietary data, this paper will test whether these grades influence retail prices as well as retailer profits and wholesale pricing. By analyzing an individual wholesale firm in South Florida and their distribution network, this paper determines the effect expert ratings have on these dependent variables. Empirical evidence confirms that expert ratings have a positive effect on wholesale and retail wine prices and that they exhibit a parallel influence on retailer profits. This thesis aims to contribute new information to aid both the end consumers purchasing decisions as well as busi-ness pricing strategies.<br>B.A.<br>Bachelors<br>Business Administration<br>Economics
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Ustaoğlu, Eda. "Hedonic price analysis of office rents : a case study of the office market in Ankara /." Ankara : METU, 2003. http://etd.lib.metu.edu.tr/upload/1079342/index.pdf.

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Myrestam, Isak. "Does infrastructure pave the way for higher property demand? : A difference-in-differences analysis of the effect of the Bothnia Line on real estate prices in Västerbotten." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415115.

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This study explores the concept of improved train infrastructure in Sweden and how it affects the attractiveness of cities. The research uses a difference-in-differences model to determine whether the construction of the Bothnia Line in northern Sweden has had an impact on real estate prices in the municipalities Nordmaling and Robertsfors between 2008-2016. By employing the hedonic price model, the study finds evidence that house-specific factors such total house size in square meters, location near water and size of backyard all play a role in determining the final purchase price of houses in the two municipalities. However, the findings of this study do not indicate that the launch or the subsequent investments on the Bothnia Line has had any measurable impact on the real estate prices in the region. This is in line with previous research on the project.
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Gisselman, Fredrik. "The Value of the Flood Mitigation Services of Wetlands : Evidence from GIS-based Hedonic Price Analysis." Thesis, Umeå universitet, Nationalekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-104436.

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Salisbury, Karli A. "Examining Market Channels for Local Produce: Consumer Affordability and Producer Profitability." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7408.

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This study examines the price differences of commonly consumed produce between farmers’ markets and grocery stores in Utah. Our first objective is to compare price differences of a basket of produce between farmers’ markets and grocery stores. We compare these price differences in terms of low-income consumer affordability and if an individual can afford a market basket of produce using a combination of Farmers’ Market Nutrition Program (FMNP) dollars and Double Up Food Bucks (DUFB) incentive dollars. Our second objective for this study is to establish the price premiums of individual produce items based on where the produce was sold, time of season, market channel (farmers’ market versus grocery store), as well as production method used (conventional versus organic). The findings from this research can inform policy makers of the affordability of farmers’ market produce and apply incentive programs more effectively. We can inform consumers of the price differences so they can maximize their food budgets. We can use the research to help producers make market strategies that can then maximize their profits.
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Books on the topic "Hedonic Price Analysis"

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Chwelos, Paul D. Faster, smaller, cheaper: An hedonic price analysis of PDAs. National Bureau of Economic Research, 2004.

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Cockburn, Iain. Hedonic analysis of arthritis drugs. National Bureau of Economic Research, 1998.

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Faux, John. Hedonic price analysis to reveal value of water in irrigation: An application to northern Malheur County, Oregon. 1996.

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Lenz, John Eugene. A retail-level hedonic analysis of milk component values. 1989.

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Book chapters on the topic "Hedonic Price Analysis"

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Koundouri, Phoebe, and Panos Pashardes. "Hedonic Price Analysis and Selectivity Bias: Water Salinity and Demand for Land." In Economy & Environment. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9984-9_4.

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Laposa, Steven, and Grant Thrall. "Mass Appraisal and Noise: The Use of Lifestyle Segmentation Profiles to Define Neighbourhoods for Hedonic Housing Price Mass Appraisal Models." In Applied GIS and Spatial Analysis. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470871334.ch5.

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Portugal, Luz Alicia Jiménez, and Mathias von Oppen. "The Use of Hedonic Price Analysis in Agricultural Research: Market Prices and the Quality Characteristics of Beans in Colombia." In Agricultural Markets from Theory to Practice. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1007/978-1-349-27273-0_8.

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Ligus, Magdalena, and Piotr Peternek. "Impacts of Urban Environmental Attributes on Residential Housing Prices in Warsaw (Poland): Spatial Hedonic Analysis of City Districts." In Contemporary Trends and Challenges in Finance. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54885-2_15.

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Pagliara, Francesca, and John Preston. "Can Long-Distance Rail Accessibility Affect the Real Estate Market?" In Geographic Information Analysis for Sustainable Development and Economic Planning. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1924-1.ch014.

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Most studies present in the literature have analyzed local transit networks and their impacts on land values. Empirical studies of the effects of long-distance rail accessibility on real estate prices are relatively rare. The Channel Tunnel Rail Link in England is presented as an example of such impacts. Hedonic price theory is used to estimate the implicit price of each dependent attribute. Ad hoc catchment and control areas have been defined around the St Pancras High Speed station. The main outcome of this analysis is that access to High Speed Rail has an impact on residential property prices, while, with increasing distance from the station, other attributes affect residential property prices.
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Thrall, Grant Ian. "Office and Industrial." In Business Geography and New Real Estate Market Analysis. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195076363.003.0010.

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A developer needs advice on the market for commercial space, including office and industrial properties. An owner of a commercial building needs to determine how much to charge for leased space, how much to sell the property for, or how much the property can be refinanced for. A purchaser needs to determine if market conditions support purchasing commercial space, or renting, and at what price. The real estate market analyst is responsible for the creation and assembly of information to guide such decisions. A background overview of real estate market analysis for the product categories of office and industrial projects is presented. The hedonic approach hypothesizes that a variety of phenomena contribute in one way or another to determining market rent. In a hedonic model, office or industrial property rent or occupancy rate may be the dependent variable of a regression equation, as explained in chapter 4. The phenomena that are hypothesized to cause the value of the dependent variable are the independent variables of the regression equation. Some examples of independent variables that have been hypothesized and examined in hedonic models as to their contribution to determining office market rent are listed below: . . . Terms of lease (Glascock et al. 1990). Architectural design (Hough and Kratz 1983) Building characteristics (Vandell and Lane 1989) Access to white collar employment (Clapp 1980) Local property tax rates (Wheaton 1984) Status and prestige (Archer 1981; Archer et al. 1990) Agglomeration—benefits of high geographic concentrations of specialized office establishments for specific kinds of industry (Gad 1979; Kroll 1984) Spillovers from close geographic proximity (Clapp et al. 1992). . . . Hedonic models might also include dummy variables as independent variables to represent the presence of some characteristic or phenomenon. The dummy variables have an assigned the value of 1.0 to denote the occurrence of some characteristic and 0.0 to denote its absence. An expectation must be developed by the analyst on how markets and submarkets differ in their rents, vacancy rates, and absorption rates and what their trend is expected to be.
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"An empirical analysis of housing price based on hedonic pricing theory: Evidence from Chengdu city." In Computing, Control, Information and Education Engineering. CRC Press, 2015. http://dx.doi.org/10.1201/b18828-145.

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"Assessing the value of water in urban slums: A hedonic price analysis for four cities, Chile." In Water and Urban Development Paradigms. CRC Press, 2008. http://dx.doi.org/10.1201/9780203884102-93.

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Sivathanu, Brijesh. "Adoption of Online Subscription Beauty Boxes." In Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8957-1.ch049.

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This article examines the contextual ‘reasons for' and ‘reasons against' the adoption of beauty box subscription-based online services (BxSOS) in a developing country like India using the behavioral reasoning theory (BRT). This study surveys the female consumers in India to understand the adoption of BxSOS using the unique model of behavioral reasoning theory (BRT). After data collection, the analysis was done using the PLS-SEM technique. The ‘reasons for' BxSOS adoption are convenience, ubiquitous, hedonic shopping motivation, social influence and price consciousness and the ‘reasons against' are traditional barrier, relative advantage, choice/variety and perceived risk. It is also found that value of “openness to change” significantly influences the ‘reasons for' adoption and attitude towards BxSOS whereas it has no impact on the ‘reasons against' adoption of BxSOS. This cross-sectional study was conducted with target respondents as female consumers in the Indian context and future research can be conducted in other countries with different cultures and both the genders to generalize the results.
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Conference papers on the topic "Hedonic Price Analysis"

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Hongjing Zhang and Mucong Zhang. "Environment hedonic price analysis: Evidence from Jilin city." In 2010 Second International Conference on Communication Systems, Networks and Applications (ICCSNA). IEEE, 2010. http://dx.doi.org/10.1109/iccsna.2010.5588741.

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Wang, Heyong, and Jinjiong Lan. "The application of housing hedonic price model using kernel principal component analysis." In International Conference on Electrical and Electronics Engineering. WIT Press, 2014. http://dx.doi.org/10.2495/iceee140191.

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Castro, Conceição, and Fernanda A. Ferreira. "Effects of hotel characteristics on room rates in Porto: A hedonic price approach." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912376.

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Wei, Wang, Tong Guang-ji, and Zhang Hong-rui. "Empirical analysis on the housing price in Harbin City based on hedonic model." In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5720005.

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Fu, XinYue, and Qingxiang Fu. "Low-carbon residential pricing research and empirical analysis based on Hedonic price model." In International Conference on Modern Engineering Soultions for the Industry. WIT Press, 2014. http://dx.doi.org/10.2495/mesi140071.

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Ossokina, Ioulia, Theo Arentze, and Jianfei Li. "Estimating the HARA land-use model for housing planning based on hedonic price analysis." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_131.

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Liu, Yan, and Yong-xiang Wu. "Analysis of residential product's value based on Structural Equation Model and Hedonic Price Theory." In 2009 International Conference on Management Science and Engineering (ICMSE). IEEE, 2009. http://dx.doi.org/10.1109/icmse.2009.5317673.

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Işık, Cem, and Nilgün Bilici. "The Analysis of Hotel Room Rates Using Hedonic Model: The Case of Erzurum." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01653.

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In this study, it is aimed to analyze the relationship between the hotel room rates and its features by using hedonic price approach. In this context, the data of 26 factors of 20 hotels in Erzurum have been tested by setting log-log regression model on EViews 8 program. It has been determined that these 15 factors in 26 are significant and it has been also found that 13 factors of them (chain hotel, room size, bathroom, breakfast, LCD TV, a bar, Wi-Fi, shuttle, conference room, restaurant, night club, fitness center and fax/copier) increase the hotel room rate and two of them (location and skiing facilities) reduce the room rates.
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Qiu, Waishan, Xiaokai Huang, Xiaojiang Li, Wenjing Li, and Ziye Zhang. "Investigating the impacts of street environment on pre-owned housing price in Shanghai using street-level images." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11410.

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Studies considering street environment quality’s impact on housing value were limited to top-down variables such as the green ratio measured from satellite maps. In contrast, this study quantified street views’ impacts on the value of second-hand commodity residential properties in Shanghai based on analysis of street view imagery. (1) It applied computer vision to objectively measure street features from largely accessible street view imagery. (2) Based on the classical urban design measures frameworks, it applied machine learning to evaluate human perceived street quality as street scores systematically, in contrast to the common practice of doing so in a more intuition-based fashion. (3) It further identified important indicators from both human-centered street scores as well as the more objective street feature measures with positive or adverse effects on property values based on a hedonic modeling method. The estimation suggested both street scores and features are significant and non-negligible. For the perceived street scores (from 0-10 scale), neighborhoods with a unit increase in their “enclosure” or “safety” score enjoy price premium of 0.3% to 0.6%. Meanwhile, streets with 10% greater tree canopy exposure are attributable to a 0.2% increase in the property value. This study enriched our current understanding at a micro level of the factors that impact property values from the perspective of the built environment. It introduced human-centered perception of street scores and objective measures of street features as spatial variables into the analysis of neighborhood attribute vectors.
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Hou, Keyu, Shunxun Li, Jingjing Li, Wei Xu, Rui Wang, and Jin Zhou. "Research on consumer portraits of offline fast fashion shoe stores based on IoT smart hardware." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.iii.9.

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There is a close relationship between consumer’s portrait and product’s attributes. Consumer portraits are usually obtained from information provided by consumers or by using data analysis of computer vision technology when they were in store. However, there was few concerns on the product’s attribute which was a critical factor affecting consumer portrait establishment. Therefore, the purpose of this study was to establish IoT based product attributes’ data collection system then to use this system to portrait consumers behaviors. Firstly, we used our own developed smart hardware to collect consumers' attention data on products of fast fashion shoe stores. Then the product attention index was obtained by combining sales data, and the quantitative attributes of the products with the highest attention index were analyzed, including the age, style and price. At last, improved the TOFA model to make it suitable for the conversion analysis of product attributes to consumer portraits. The results showed that there were core hedonic middle-aged consumer groups and potential thrifty youth consumer groups in the store, and the styles of shoes tend to be fashionable and casual. The conclusion was that the new model can effectively analyze the core consumer portraits of shoe stores and provide strategies for shoe store positioning and supply.
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Reports on the topic "Hedonic Price Analysis"

1

Chwelos, Paul, Ernst Berndt, and Iain Cockburn. Faster, Smaller, Cheaper: An Hedonic Price Analysis of PDAs. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10746.

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2

Frijters, Paul. WELLBYs, cost-benefit analyses and the Easterlin Discount. Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/populationyearbook2021.deb04.

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The current practise of cost-benefit analysis inWestern countries consists of a collection of various incompatible ideas and methodologies to obtain replicable numbers for the costs and benefits of major public spending plans. This paper describes the main elements of the dominant methodology, which combines consumer and producer surplus, price-taking, government-inputs-as-outputs, hedonic pricing of externalities, and the issue-specific use of partial or general equilibrium thinking. The paper then discusses how that methodology can be augmented and partially replaced by looking at how prospective policies would change the total number of WELLBYs (life satisfaction-adjusted years of life) of the population. The ability of the WELLBY methodology to address complex externalities is illustrated by the Easterlin Discount, which is a proposed reduction factor of 75% on all estimates of private consumption benefits to offset the envy caused in others.
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3

Alkadi, Abdullah. Hedonic Analysis of Housing Prices Near the Portland Urban Growth Boundary, 1978-1990. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1344.

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