By 2006, the U.S. government has spent $15 billion to address the degradation of urban streams, including erosion of stream banks, disconnection of rivers from the floodplain, and disturbance of surface runoff pathways. Bank stabilization is one of the most prevalent restoration activities in urban stream restoration. Unfortunately, most stream restoration projects have been undertaken without a pre- or post-evaluation of the impact of stream restoration on real value in the area. All restoration projects beg the question: Did the money spent on the project result in greater benefits to stream stability as well as to adjacent properties? The Walnut Creek watershed, located in Austin, Texas, has experienced varying stages of urbanization since the 1990s. One of the streams, the Walnut Creek tributary, was restored in 2003. The purpose of this study is to assess the impact of stream restoration on housing values. We applied the hedonic pricing method to evaluate the changes in housing value associated with housing and environmental characteristics. Repeat ground photography was utilized to assess stream restoration activities at spatial and temporal scales. Our results suggest that the stream restoration project resulted in significant positive impacts on housing values in the periods of restoration (8.3%) and restoration adjustment (10.7%). However, the project did not enhance the values of houses on the floodplain. In addition, results show that erosion had continuous negative impacts on housing values. Overall, the restoration project contributed to the greater benefits during the restoration adjustment period right after restoration by an increase of 1% of the average housing value for each property on the restoration site. In this study, the benefits of stream restoration project were minimal since bank stabilization was the main activity considered in this stream restoration project. Nevertheless, restoration enhances the stability of the stream banks, minimizes erosion problems, and presents an enhanced aesthetic beauty of the stream in Austin, Texas.

The aim of this diploma thesis is to determine what is the effect of the train noise on prices of properties in Prague. This influence is investigated by using the method of hedonic price. The theoretical part is devoted not only to the problematic of the train noise and its physical properties but also to its impact on humans and the prices of apartments. Then the train noise is specified as well as its issuers and the ways in which it is possible to defend from the negative effects of the impact of the train noise. The thesis also explains the various stages of the method of hedonic price together with the theoretical part of Foreign Studies which have been engaged in using the method of hedonic price and the train noise. In the empirical part are used the knowledge from search, the selected variables are discussed and are submitted to descriptive analysis and the hypothesis are given. Then the model works through a regression analysis of function of the method of hedonic price and the various results are discussed. This thesis finishes by calculating the implicit prices and elasticities for the individual variables in the selected models. At the very end recommendations and the benefits resulting from the analysis are drawn.

The main purpose of the diploma thesis is to estimate the impact of urban vegetation on real estate prices in terms of hedonic pricing method and furthermore to suggest a way how the estimated results should be implemented into decision-making within green areas of Prague. In the legal setting of Czech republic, the greenery is almost entirely provided to citizens through public budgets. As many effects of green areas do not come through markets, the decision-making about optimal quantity of greenery supplied comes to be heavily problematic. Concerning this, contibution of urban vegetation to the well-being of residents estimated in this thesis may become fundamental guide-post for public bodies. The theorethical part of the thesis is devoted to the problematics of green areas as an economic good and to the specification of urban greenery in Prague.Then the method used is shortly characterised. The practical part deals with choice of the appropriate variables representing urban greenery on the basis of relevant literature search. The main scope of the practical part is to describe and analyze property data set from Prague and finally to examine the impact of chosen environmental variables on the property prices.

My Diploma thesis is focused on economic evaluation of gratuitous goods, especially on hedonic price method. The core of this paper is theoretical description and practical usage of HPM. Main theme is "Influence of plantscape on flat price.

This thesis explores factors that determine the price for Australian art sold at auction. Using a large data set that comprises over 20,000 sale observations of Australian paintings sold between 1995 and 2003 characteristics associated with the artist, the work and auction are included in a series of hedonic models. In addition to modelling the overall market, differences within defined market segments for Indigenous and Non-indigenous art are explored. The role of artist identity and critical acclaim, the period in which art works are created and the event of an artist death are areas of specific focus within the analysis along with an investigation of the risks and returns associated with Australian art investment. It is found that artist identity is a crucial factor that drives price. Further, the most highly valued Non-indigenous art works are found to be created prior to 1900, although the market for Contemporary art produced post 1980 is associated with relatively high prices also. Distinctions emerge between Indigenous and Non-indigenous art as we consider the period in which works are created and the influence this has upon price. Almost 90 per cent of Indigenous art sold at auction has been created since 1970 and it is works from the 1970s that command the highest prices for Indigenous art sold at auction. This is not unexpected given the rise of Indigenous art in the early 1970s coinciding with the emergence of the Papunya Tula art movement. The death of an artist also proves to have a different influence upon price when we compared Indigenous and Non-indigenous art. For Non-indigenous art there is clear evidence of a death effect upon art prices, where prices typically rise around the time of an artists death before falling back somewhat with the passing of time. For Indigenous art the influence of a living artist's conditional life expectancy upon price proves to be of greater relevance in explaining price where as the artist ages and the term of their life expectancy reduces prices tend to rise. The analysis within this thesis finishes with the construction of a number of short term art price indices where it is found that returns to investment in Indigenous art are generally higher and less risky compared to Non-indigenous art. Australian art generally and Indigenous art in particular is found to have a relatively weak correlation with the stock market suggesting that Australian art has a role to play in a balanced investment portfolio especially taking into account the aesthetic utility that can also be derived as a result of holding art. The research contributes to understanding how the auction market for Australian art operates with emphasis paid to the distinctions and similarities observed within the sub-markets for Indigenous and Non-indigenous art. Insights from this research have the potential to inform public policy on a number of issues including the effect of resale royalties upon the operation of the auction market, and how indigenous economic development may be facilitated through a strong market for Indigenous art.

The primary purpose of this study was to examine the contribution of family-recreation amenities to home valuation in Southern Arizona communities. Although recreation amenities have become a frequent addition to housing developments, little research exists regarding the value these amenities contribute to home valuation. The sample consisted of 600 homes in master-planned communities and 600 homes in comparable traditional subdivisions. Using the hedonic pricing method, this study examined whether the inclusion of recreation amenities provides additional value to homes after structural and locational characteristics were controlled for. Blocked multiple regression analyses were used to determine the contribution of both individual and bundled recreation amenities to home valuation. The results of this study revealed a positive significant relationship between the bundle of community parks, neighborhood parks, and trails located within master-planned communities and home valuation, accounting for 17.45% of home value in this sample. In addition, the inclusion of family-recreation programming was found to contribute 6.82% of home value within master-planned communities. The findings suggest the inclusion of recreation amenities may be an appropriate way to revitalize communities, to increase the tax base for new housing developments, and to attract residents during a time of economic recession.

Este estudo visa compreender a relação entre os atributos intrínsecos e extrínsecos do produto calça jeans e o seu preço no varejo, tendo como objetivo específico analisar a influência separadamente dos atributos intrínsecos e extrínsecos sobre os preços. Para tanto, utiliza-se da teoria de atributos proposta por Lancaster (1966) e dos métodos de preços hedônicos propostos por Rosen (1974), por meio dos quais é possível observar a importância dos pacotes de atributos intrínsecos e extrínsecos sobre os preços, bem como observar a constituição de pacotes de atributos para diferentes perfis econômicos de consumidores. Foram analisadas 12 categorias de atributos sendo 5 de atributos intrínsecos e outras 7 de atributos extrínsecos. A coleta de dados foi realizada por meio de observação e a pesquisa foi realizada no período de 01 de julho a 31 de julho de 2015 nos maiores shoppings centers e principais lojas de ruas de São Paulo. A partir dos dados coletados, foram realizadas regressão múltipla e a regressão quantílica. A regressão múltipla apresentou o R2 de 58%, nessa análise os principais atributos que influenciam são: loja premium, venda assistida, origem da loja, tamanho da loja (megaloja), tamanho da loja (ampla), lavagem destroyed, resina, modelo flare, lavagem dirty, localização da loja (rua ou shopping), complementos, modelo skinny insumos elastano e poliéster. A regressão quantílica proporciou a análise para 10% das calças mais caras e para os 10% das calças mais baratas. Para as calças mais caras o R2 é de 45% para as calças mais caras há mais atributos extrínsecos do que atributos do produto interferindo no preço, são eles: os insumos poliéster e elastano, lavagem e resinagem, origem da marca da loja, posicionamento da marca, venda assistida, localização da loja, cartão de crédito - private label (nesse caso influenciando negativamente), e tamanho da loja, todos extrínsecos ao produto, se mostraram relevantes para o processo de precificação das calças jeans mais caras observadas nesse estudo. Já para as calças mais baratas, com R2 de 27%, parece haver um equilíbrio entre o número de variáveis intrínsecas e extrínsecas que interferem no preço das calças jeans mais baratas, pois somente a modelagem (atributo intrínseco) e cartão private label (atributo extrínseco) parecem não interferir na precificação. Concluiu-se que há mais atributos extrínsecos que influenciam o preço da calça jeans no varejo. / This study aims to understand the relationship between intrinsic and extrinsic attributes of jeans and its retail price, with the specific objective to analyze the influence separately from intrinsic and extrinsic attributes on prices. To do so, it uses the attributes of theory proposed by Lancaster (1966) and hedonic pricing methods proposed by Rosen (1974), through which it is possible to see the importance of intrinsic and extrinsic attributes packages on prices and to observe the constitution attributes of economic packages for different consumer profiles. 12 categories of attributes, 5 of intrinsic attributes and other 7 extrinsic attributes were analyzed. Data collection was carried out through observation and the survey was conducted in the period from July, 1st to July, 31st, 2015 in major shopping malls and main streets of São Paulo stores. The collected data was analyzed through multiple regression and quantile regression. Multiple regression showed a R2 of 48%, according to this analysis the attributes that influence are: premium store, assisted sale, shop origin, size of the store (superstore), store size (large), destroyed wash, resin application, flare model, dirty wash, store location (street or shopping), accessories, skinny model spandex inputs and polyester. The quantile regression, pointed analysis for 10% of the most expensive jeans and for 10% of the cheapest jeans. For the most expensive pants, R2 is 45% the extrinsic attributes interfering in the price more than product attributes, they are: polyester inputs and spandex, washing and resin application, the origin for store brand, brand positioning, assisted sale, store location, credit card -private label (in this case presenting a negative influence) and size of the store, all extrinsic to the have shown to be relevant to the process of pricing of the most expensive jeans observed in this study. As for the cheapest pants, with R2 of 27% seems to be a balance between the number of intrinsic and extrinsic variables that affect the price of the cheapest jeans, modeling (intrinsic attribute) and private label (extrinsic attribute) do not seem to interfere in pricing. It was concluded that there are more extrinsic attributes that influence the jeans of the retail price.

Este estudo visa compreender a relação entre os atributos intrínsecos e extrínsecos do produto calça jeans e o seu preço no varejo, tendo como objetivo específico analisar a influência separadamente dos atributos intrínsecos e extrínsecos sobre os preços. Para tanto, utiliza-se da teoria de atributos proposta por Lancaster (1966) e dos métodos de preços hedônicos propostos por Rosen (1974), por meio dos quais é possível observar a importância dos pacotes de atributos intrínsecos e extrínsecos sobre os preços, bem como observar a constituição de pacotes de atributos para diferentes perfis econômicos de consumidores. Foram analisadas 12 categorias de atributos sendo 5 de atributos intrínsecos e outras 7 de atributos extrínsecos. A coleta de dados foi realizada por meio de observação e a pesquisa foi realizada no período de 01 de julho a 31 de julho de 2015 nos maiores shoppings centers e principais lojas de ruas de São Paulo. A partir dos dados coletados, foram realizadas regressão múltipla e a regressão quantílica. A regressão múltipla apresentou o R2 de 58%, nessa análise os principais atributos que influenciam são: loja premium, venda assistida, origem da loja, tamanho da loja (megaloja), tamanho da loja (ampla), lavagem destroyed, resina, modelo flare, lavagem dirty, localização da loja (rua ou shopping), complementos, modelo skinny insumos elastano e poliéster. A regressão quantílica proporciou a análise para 10% das calças mais caras e para os 10% das calças mais baratas. Para as calças mais caras o R2 é de 45% para as calças mais caras há mais atributos extrínsecos do que atributos do produto interferindo no preço, são eles: os insumos poliéster e elastano, lavagem e resinagem, origem da marca da loja, posicionamento da marca, venda assistida, localização da loja, cartão de crédito - private label (nesse caso influenciando negativamente), e tamanho da loja, todos extrínsecos ao produto, se mostraram relevantes para o processo de precificação das calças jeans mais caras observadas nesse estudo. Já para as calças mais baratas, com R2 de 27%, parece haver um equilíbrio entre o número de variáveis intrínsecas e extrínsecas que interferem no preço das calças jeans mais baratas, pois somente a modelagem (atributo intrínseco) e cartão private label (atributo extrínseco) parecem não interferir na precificação. Concluiu-se que há mais atributos extrínsecos que influenciam o preço da calça jeans no varejo. / This study aims to understand the relationship between intrinsic and extrinsic attributes of jeans and its retail price, with the specific objective to analyze the influence separately from intrinsic and extrinsic attributes on prices. To do so, it uses the attributes of theory proposed by Lancaster (1966) and hedonic pricing methods proposed by Rosen (1974), through which it is possible to see the importance of intrinsic and extrinsic attributes packages on prices and to observe the constitution attributes of economic packages for different consumer profiles. 12 categories of attributes, 5 of intrinsic attributes and other 7 extrinsic attributes were analyzed. Data collection was carried out through observation and the survey was conducted in the period from July, 1st to July, 31st, 2015 in major shopping malls and main streets of São Paulo stores. The collected data was analyzed through multiple regression and quantile regression. Multiple regression showed a R2 of 48%, according to this analysis the attributes that influence are: premium store, assisted sale, shop origin, size of the store (superstore), store size (large), destroyed wash, resin application, flare model, dirty wash, store location (street or shopping), accessories, skinny model spandex inputs and polyester. The quantile regression, pointed analysis for 10% of the most expensive jeans and for 10% of the cheapest jeans. For the most expensive pants, R2 is 45% the extrinsic attributes interfering in the price more than product attributes, they are: polyester inputs and spandex, washing and resin application, the origin for store brand, brand positioning, assisted sale, store location, credit card -private label (in this case presenting a negative influence) and size of the store, all extrinsic to the have shown to be relevant to the process of pricing of the most expensive jeans observed in this study. As for the cheapest pants, with R2 of 27% seems to be a balance between the number of intrinsic and extrinsic variables that affect the price of the cheapest jeans, modeling (intrinsic attribute) and private label (extrinsic attribute) do not seem to interfere in pricing. It was concluded that there are more extrinsic attributes that influence the jeans of the retail price.

The aim of this diploma thesis is the estimation of the influence of green areas on real estate prices in Bratislava, SK. Being not a public good green areas are not market valuated which makes the decision about its size and placement in urban areas problematic. This thesis was written with an aim to evaluate the benefit of greenery and help future decision making concerning green urban areas in Bratislava. Theoretical part points out current situation of green urban areas in Bratislava and real estate market development. It also demonstrates some of the benefits coming from urban greenery and defines hedonic pricing method. Practical part is focused on greenery value estimation using HPM. It analyzes geografical data altogether with real estate data and based on five regression models using various groups of environmental variables estimates the impact of different types of greenery on the real estate prices in Bratislava.

Background: This study discusses the phenomenon of luxury goods as investment assets,focusing on luxury watches in particular. The rise of globalization and increased wealth,particularly among the middle and high-income groups in developing countries, hascreated a larger potential customer base for luxury items. This has led to an increasing interest in luxury goods as investment assets, including collectibles such as cars, art, andwine. The recent development of online niche marketplaces for luxury goods has enabledthe systematic collection of data, facilitating research on Veblen goods as alternativeinvestment assets. Therefore, it is interesting to analyze the financial performance ofinvestments in luxury watches as compared to traditional assets. Purpose: The purpose of this study is to analyze the comparative performance ofinvesting in luxury watches versus traditional assets such as equities and bonds. Methodology: This study collects data on luxury watch prices and characteristics. Thehedonic pricing method is used to regress the price of the watches on their characteristics.The regression results are used to analyze the price impact of the characteristics, as well asto create a watch price index. In order to evaluate the index performance, data is collectedfor the MSCI World Index and the Bloomberg U.S. Aggregate Bond Index. For all the indices, the financial metrics of the Sharpe ratio, Treynor ratio, CAPM, and Jensen’s alphaare calculated. Conclusion: This study suggests that luxury watches, with their wide price ranges and high resale value, have been a viable option for portfolio diversification during thestudied five-year period between 2018 and 2023. The watch index yields an averagereturn of 2.01 % and a cumulative return of 49.35 %, outperforming the MSCI World Indexwith average returns of 1.38 % and the Bloomberg U.S. Aggregate Bond Index with -0.01%, and cumulative returns of 31.90 % and -0.15 %, respectively. The watch index alsooutperforms the compared indices in terms of the financial metrics Sharpe ratio, Treynorratio, CAPM, and Jensen’s alpha. The results suggest that the most important valuedrivers for luxury watches are: Brand (Audemars Piguet, Patek Philippe, and VacheronConstantin), Features (Chronograph, tourbillon, and rotating bezel) and Case Material(bronze, rose gold, and yellow gold).