Secondary markets have not historically possessed the characteristics necessary for market power to emerge, or effective product differentiation to be implemented. The potential effects of these characteristics on primary – secondary market interaction is generally not considered. The law of one price is expected to hold in secondary markets. By applying the hedonic technique to producer theory, and integrating the durability of the product directly into the profit maximizing conditions, potential differences in implicit prices between customer segments in the used bucket truck market are estimated. Applying weighted least squares to the hedonic equation, parameters were estimated to indicate whether differences in hedonic prices exist between customer segments in the secondary, utility construction equipment market. The hedonic approach accounted for differences in price due to physical characteristics, while underlying supply and demand conditions were accounted for using indicator variables for time. Estimated differences in the effects of physical characteristics on price, between industries, were identified using interaction terms. Results of the econometric estimation indicate that differences in physical product characteristics do not fully account for differences in price between customer segments in the secondary bucket truck market. If the law of one price can be violated in a secondary market, this could indicate market power. Future research on primary – secondary market interaction should consider the potential effects, if such market power does indeed exist.

The main target of the thesis is to analyze the relationship of prices and access to urban green area for the selected location of the city, such as the substrate to determine values of urban greenery. This work is built on the application of the Hedonic pricing method.The thesis is divided into 4 parts. The study of literature was created the first chapter, which deals with the value of the green space, the environment in the Czech Republic and abroad, method of environmental valuation and the history of the Hedonic price method and his used. The second chapter contains target and methodology of work. The methodology describes the different steps of the methods of work. In the second part is the specification of the model, which is applied in the analysis. In this part is mentioned characteristic of the properties and collection of data. In the third chapter data analysis is divided in specific parts of the sections. The data are evaluated for the entire area, and then compare the area itself.

O preço de um imóvel é definido como um preço hedônico, visto que sua formação é dada através de um conjunto de atributos que consideram, além das características do próprio bem, tais como número de quartos, vagas na garagem, área privativa, entre outros; as características do bairro onde este imóvel está inserido. Existe uma demanda crescente por imóveis localizados em regiões com uso de solo misto, densificadas e com fácil acesso a serviços. Essas características estão fortemente vinculadas ao conceito de caminhabilidade. Juntamente com facilidade de acesso ao transporte público, desenho urbano que favoreça o deslocamento dos pedestres e segurança pública, formam as 6 dimensões da caminhabilidade utilizadas nesse estudo. Bairros com essas características estimulam viagens a pé e estima-se que haja uma valorização imobiliária de seus empreendimentos, com consumidores dispostos a pagar mais por imóveis residenciais localizados em regiões caminháveis. Para testar o impacto da caminhabilidade no valor do preço, foram utilizados modelos de equações estruturais. Eles permitem que conceitos como os de caminhabilidade e segurança pública, que não podem ser diretamente medidos (variáveis latentes), possam ser explicados por medidas observáveis que atuam como formadoras desses conceitos. Os resultados obtidos confirmam a hipótese, com o preço do metro quadrado de imóveis residenciais a venda crescendo conforme aumenta a caminhabilidade. A segurança pública demonstrou ser o fator mais importante na explicação da caminhabilidade e consequentemente na valorização do preço. / Sale price of a property is defined as a hedonic price, since its value is formed by a set of attributes that cover more than just characteristics of the product itself, such as number of rooms, parking spots and private area. There is a growing demand for properties located in areas with mixed land use, densified and with easy access to products and services. These characteristics are strongly linked to the concept of walkability, usually named as walkability dimensions. Neighborhoods with these features encourage commutes by walking and are likely to have a real estate valuation, with consumers willing to pay more for residential properties located in walkable areas. Structural equation models were used to test the impact of walkability on sales price. This methodology allows to quantify concepts as walkability and security, that could not be directly measured (latent variables), by using the observable variables that compose them. The results confirm the hypothesis that increase in walkability will also raise the sales price. Security has proven to be the most important factor in the walkability explanation and consequently in price appreciation.

O preço de um imóvel é definido como um preço hedônico, visto que sua formação é dada através de um conjunto de atributos que consideram, além das características do próprio bem, tais como número de quartos, vagas na garagem, área privativa, entre outros; as características do bairro onde este imóvel está inserido. Existe uma demanda crescente por imóveis localizados em regiões com uso de solo misto, densificadas e com fácil acesso a serviços. Essas características estão fortemente vinculadas ao conceito de caminhabilidade. Juntamente com facilidade de acesso ao transporte público, desenho urbano que favoreça o deslocamento dos pedestres e segurança pública, formam as 6 dimensões da caminhabilidade utilizadas nesse estudo. Bairros com essas características estimulam viagens a pé e estima-se que haja uma valorização imobiliária de seus empreendimentos, com consumidores dispostos a pagar mais por imóveis residenciais localizados em regiões caminháveis. Para testar o impacto da caminhabilidade no valor do preço, foram utilizados modelos de equações estruturais. Eles permitem que conceitos como os de caminhabilidade e segurança pública, que não podem ser diretamente medidos (variáveis latentes), possam ser explicados por medidas observáveis que atuam como formadoras desses conceitos. Os resultados obtidos confirmam a hipótese, com o preço do metro quadrado de imóveis residenciais a venda crescendo conforme aumenta a caminhabilidade. A segurança pública demonstrou ser o fator mais importante na explicação da caminhabilidade e consequentemente na valorização do preço. / Sale price of a property is defined as a hedonic price, since its value is formed by a set of attributes that cover more than just characteristics of the product itself, such as number of rooms, parking spots and private area. There is a growing demand for properties located in areas with mixed land use, densified and with easy access to products and services. These characteristics are strongly linked to the concept of walkability, usually named as walkability dimensions. Neighborhoods with these features encourage commutes by walking and are likely to have a real estate valuation, with consumers willing to pay more for residential properties located in walkable areas. Structural equation models were used to test the impact of walkability on sales price. This methodology allows to quantify concepts as walkability and security, that could not be directly measured (latent variables), by using the observable variables that compose them. The results confirm the hypothesis that increase in walkability will also raise the sales price. Security has proven to be the most important factor in the walkability explanation and consequently in price appreciation.

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.

This paper is studying an impact of price of noise on a market price of dwelling. I focus on a difference of impacts of road and tram traffic especially. I use a hedonic price model for Prague data. I illustrate a noise concept and its impact on people and society in theory because it encourages economics. I describe the hedonic price model and Noise Sensitivity Depreciation Index. I describe a descriptive analysis, regression analysis, modeling of hedonic price function of tram noise and road noise in practical part. I learn I can't compare hedonic models of tram noise and road noise because noise coefficients are not significant and they are bad oriented. Therefore I create the hedonic price model for night noise that was only one significant and negative.

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.

Rapid transit systems often create city developments and raise the property values. Basically, residential property price is characterised by number of characteristics including the transportations attributes. Empirical studies have drawn impacts of transportation in different ways. This thesis studies the hedonic price model to better understand the influence of mass rapid transit systems on the prices of condominium in Bangkok. The research question is "How the accessibility of rapid transit system affects the price of condominium in Bangkok?" The thesis explains the relationship between condominium prices and accessibility to mass rapid transit systems, as well as other influences, using hedonic price model. The research conducts cross-sectional study approach that uses the data with high level of flexibility at a particular point in time. Five models have been used in this thesis including the entire area model, models of proximity to rapid transit station, and sub-area models. Consequently evidences from the entire area model indicate that proximity to the rapid transit systems has a significant negative effect on condominium prices. Besides, the research also points out number of important characteristics that influence the prices of condominium including distance to main street and public facilities in the area. However, the clustered models show that there is no significant effect of proximity to mass rapid transits on condominium prices. The thesis has raised the knowledge and gained better understanding of the hedonic price model especially its application to the property market. The findings of this thesis can lead to an analysis of property values as well as other price model in other field of study.

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.

Shopping malls, as an important type of commercial facilities, are growing dramatically.They have gradually become one of the most dominant factors that can influence people's daily life as well as a city's economic development. People's willingness to pay for dwellings is also primarily associated with the surrounding commercial layout.Hence, it is of interest to find out more from a quantitative perspective on the relationship between shopping malls and housing prices. This study aims to analyzehow the prices of condominiums will be affected by the proximity of shopping malls.Two aspects are considered and examined in the empirical study, namely a proximity to the shopping mall, and the number of shopping malls within 3 kilometers radius. Wetry to examine if there is any price premium for those apartments near the shoppingmall or with more shopping malls in the neighborhood. In this empirical study, 36shopping malls in different locations in the county of Stockholm, Sweden, is utilized.The sample of transactions consists of 336,914 apartments. By using regression analysis, based on the traditional hedonic model, the results show that there is an inverse relationship between the apartment prices and its distance from the shopping mall while the number of shopping malls is positively correlated with apartment prices. / Köpcentra som en viktig typ av kommersiella anläggningar växer dramatiskt dessa år. De har gradvis blivit en av de mest dominerande faktorerna som kan påverka människors vardag och en stads ekonomiska utveckling. Människors villighet att betala för husen på marknaden är också till stor del kopplad till den omgivande kommersiella utformningen. Därför är det nödvändigt för oss att ta reda på mer i ett mer kvantitativt perspektiv om förhållandet mellan köpcentra och bostadspriset. Denna studie syftar tillatt diskutera hur priset på bostäder kommer att påverkas av köpcentra. Två aspekter beaktas och undersöks under en empirisk studie, som är närheten till köpcentret och den andra är antalet köpcentra inom 3 km avstånd. Målet är att avslöja om det finns något prispremie för dessa fastigheter nära köpcentret eller med fler köpcentra i närheten. I denna empiriska studie tas 36 köpcentra på olika platser som prov i Stockholms län, Sverige. Sedan kommer transaktionsdata där proverna består av 336,914 lägenheter behandlas och analyseras i Stata. Genom att använda giltiga transaktionsdata, kombinera med matematiska ekvationer och obligatorisk statistiskkunskap, är syftet med denna studie att beskriva och sammanfatta data för att sedan genomföra regressionsanalys baserat på fyra hedoniska modeller, inklusive både linjär och log-linjär form. Regressionsresultatet är signifikant vid 1% konfidensnivå, vilket innebär att de förklarande variablerna verkligen har betydande effekter på de beroende variablerna. Resultaten visar att det finns en omvänd relation mellan bostadspriset och dess avstånd från köpcentret. Medan antalet köpcentra är positivt korrelerat med bostadspriset.