近年來，公部門或私部門多有土地價值評估之需要，現今土地交易課稅稅基與私部門投資抵押評估上，多未考量土地與建物個別因素應相互影響價值之因素，導致已開發土地價值評估產生偏誤，故如何合理自房地價格中分離已開發土地價值，是現行土地評價之重要課題。在房地價格分離之相關研究中，如何精準區分土地和建物價值影響因素為其關鍵的基石，而不同房地價格分離方法間差異，亦為本研究探討之議題。 本研究利用特徵價格模型分析方法，以臺北市區分所有建物之住宅交易案例為研究對象，建立複迴歸模型以分離房地價格。實證結果指出臺北市房地價格隨屋齡增加，呈現先遞減後遞增之變化，驗證高屋齡下土地再開發價值之存在，並發現各屋齡分層間土地移轉面積、管理維護對房地價格影響程度不同，藉以有效區分屋齡對土地與建物價值之影響；而現行實務上常見之土地抽取法，在分離房地價格上恐有高估已開發土地價值，以及放大價值漲幅與縮小價值跌幅之問題，顯示其建物成本價值評估過於僵固，將產生偏誤，使建物價值無法有效隨市場景氣變動。此外，透過分量迴歸模型檢驗，其結果顯示已開發土地價值與高屋齡效果間呈現正向關係，亦指價值愈高，其土地再開發價值影響愈顯著。最後，本研究統整相關實證結果，釐清現行房地價格分離上之問題，盼能改善與提升土地價值之評估能力與精準度。 / In recent years, land value assessments have been needed for different purpose. The current assessing of land transaction taxable base and mortgage demands does not consider the individual factors of lands and structures should affect the value of each other, resulting in the developed land value assessment has generated errors. Therefore, how to decompose housing price reasonably and analyze the developed land value is important for land value assessments. 　　This study establishes multiple regression model by selecting residential condominium sale data in Taipei City as sample, in order to decompose the housing price into developed land and structure value. The empirical results show that the reversion of housing price is due to the redevelopment value, and land area and level of maintenance have impact on housing price in different age variables. Besides, we also find that it has a positive relationship between developed land value and redevelopment value effect on price, and land extraction method probably has some problems in overestimation of developed land value, resulting in miscounting of land price fluctuation. According to the aforementioned, this study concludes with some issues of decomposition housing price for improving and enhancing the accuracy of land value assessments.

This thesis is aimed at the topic of economical evaluation of environmental goods, namely at estimating willingness to pay utilizing the hedonic price model. The theoretical part describes the impact air pollution has on the environment and human health. Methods of evaluation are also discussed with special attention on the hedonic approach. Goal of this thesis is to evaluate the impact of air pollution by applying the hedonic model to the real-estate market in Prague, thus giving the authorities a basis for their air pollution management.

Valuation of used cars, affected by various technical attributes and information asymmetry, is the key objective of all agents operating on the automobile mar- ket. This thesis, focusing on a hedonic price analysis, aims to determine basic as well as additional attributes as determinants of a used car market price. In addition, the analysis sheds light upon novel attributes (service records, cigarette smoke pollution of a vehicle interior, selling channel factor in the e- commerce environment, and a German geographical division). The hedonic price research uses the unique data sample of the German used car market, extracted from the database of the e-commerce platform AutoScout24 com- prised of almost 51 thousand vehicles and 57 attributes. The model selection is specified by the incorporation of the Bayesian model averaging approach. The research proves the complexity of a valuation of a used vehicle in a term of a substantial number of relevant variables. The most interesting innovative conclusions are non-significant effect of selling channels and small local price differences among two German regions. Remarkable are also the significant effect of the status of previous owners, bodywork colour, and smoke pollution. The estimated vehicle lifespan of 10 years shows that cars have shorter than...

The thesis introduces several methods of real estate price modelling suitable either for prediction of the housing prices or for exploring the relationships between the price and its determinants. We compared the conventional linear regression approach to the tree-based methods of machine learning. The comparison analysis on the dataset of 28 019 apartments in Prague suggests that regression trees (especially the Random forest) yield a higher accuracy in the price prediction. Another objective was to examine the effects of location attributes (especially its accessibility and environmental quality) on the prices of nearby apartments. To address the spatial interactions in the geographical data, we employed three spatially conscious models to achieve more reliable results. The local analysis performed with the geographically weighted regression confirmed the presence of spatial heterogeneity and described the price effects relative to the location. In some areas, an increase of 100 meters in distance from the nearest metro station and the nearest park are associated with a decrease in the apartment prices by 644 CZK/m2 and 916 CZK/m2 , respectively. These findings are especially important for the apartments near the stations of the new metro line, which is currently in construction.

The empirical results from past research are quite clear. When the surrounding crime level goes up, housing prices go down. However, what has not been acknowledged in the previous literature is that different crimes might impact our willingness-to-pay heterogeneously. As most of the previous research is done through the usage of simple crime rates, this thesis acknowledges the relative severeness of different crimes. Using the newly developed crime harm index (CHI), the relative severity and harm inflicted by a specific crime is identified. The study is conducted in Sweden, Stockholm, using data for the year 2020. With the use of hedonic price equations, spatial models as well as graphical information system software, this thesis estimates a significant, and non-negligible negative relationship between increased area mean CHI and apartment prices. To the best of the author's knowledge, this is one of the very first analyses within the literature, which acknowledges the relative severeness of crimes, and the first to show a significant negative relationship between increased criminal harm and apartment prices. Further, the resulting estimates and method used in this thesis can be utilized to differentiate between the costs of different crimes, hence enabling precise cost estimates. These estimates could for example be of great use to policymaking, urban planners, and decision-making regarding safety investment.

Fastigheter beläggs med olika pris beroende på en mängd olika faktorer. Denna uppsats syftartill att analysera hur några av dessa prispåverkande faktorer och hur de förhåller sig tillsmåhusfastigheter i Helsingborg. Utöver detta kommer även en faktor, kallad njutningsfaktorn,analyseras för att försöka fastställa hur individers preferenser påverkar värdet. Analysenbaseras på statistiska underlag som kommer att behandlas med hjälp av den hedoniskaprismodellen. Bid-rent modellen kommer att appliceras på staden Helsingborg och dessområden för att skapa en bild av lägesfaktorn. En fördjupning i psykologi och urban ekonomikommer att bidra till analysen av både fysiska och psykologiska aspekter. Resultaten vi fåttfram är att det inte enbart kan tas hänsyn till fysiska aspekter i förhållande till pris på fastigheterutan det är även viktigt att behandla de psykologiska aspekterna för varje individ. / Different real estates have different value, depending upon several factors. This essay aims toanalyse some of these values bearing factors and how they relate to properties in Helsingborg.Beside these factors another factor, called the pleasure factor, will be analysed in an attempt todetermine how individual preferences affects the value. The analysis will be based on statisticmaterial that will be processed with the hedonic price model. The bid-rent model will beapplied to the city and to its areas, to help create an understanding of the location factor. Adepression of psychology and urban economics will contribute to both physical andpsychological aspects of the analysis. The results that will be presented will show that inconsideration to price we can't just tend to the physical aspects but must also consider thepsychological aspects for each individual.

Läget anses vara den enskilt viktigaste faktorn som förklarar fastighetsvärden och bostadspriser, dock är begreppet väldigt brett. ​Inget läge är det andra likt och det är ofta det som gör bostäder speciella. Det är också detta som gör det problematiskt att värdera en bostad. Det råder en stor variation i bostadspriserna och hur de varierar är svårt att kartlägga på grund av mängden faktorer som spelar in.  Arbetet har som utgångspunkt att studera hur bostadspriserna beror av lägesvariabeln avstånd och hur det ser ut för småhus respektive lägenheter. Avståndsvariabeln innefattar avstånd till centrum samt avstånd till närmaste kollektivtrafik. Undersökningen kommer appliceras på en lokal nivå i Sundbybergs kommun och relaterar till en eventuell monocentrisk stadsmodell, då avstånd till stor del är temporalt och inte enbart geografiskt.  Den monocentriska stadsmodellen är en av de modeller som försöker förklara variationen utifrån bostadens läge. Enligt teorin bakom modellen ökar bostadspriserna desto närmre kärnan bostaden är belägen och på så sätt beror bostadspriserna av ett lägespris. Anledningen till varför priserna ökar närmre kärnan beror på att man är villig att betala mindre för transportkostnader till ett centrum dit stadens invånare antas transportera sig till dagligen för att nå arbete och önskad service. I denna rapport vill vi testa om den monocentriska stadsmodellen går att applicera på lokal nivå i Sundbybergs kommun genom att studera om det finns ett samband mellan bostadspriserna och avståndet till centrum.  För att kunna testa hur olika lägesfaktorer påverkar bostadspriserna används hedoniska prismodeller. Med en hedonisk prismodell kan man bryta ner ett observerat pris från sin helhet till implicita priser för varje attribut. Generellt är det en modell som kan tillämpas för att förstå bostadspriset. Arbetets syfte är att studera om det förekommer något samband mellan ett bostadspris och avståndet till ett lokalt centrum. Om bostadsprisstrukturerna kan kartläggas med modellerna skulle det kunna underlätta planeringen av nya områden och infrastruktur samt belysa de attribut som bör värdesättas högt i ett område. Syftet är också att undersöka hur bostadsprisstrukturen ser ut i ett område beroende på hur priserna influeras av avstånd till kollektivtrafik samt hur det skiljer sig mellan olika lokala områden. Enligt teorin från den monocentriska stadsmodellen bör bostadspriserna öka när avståndet till ett centrum minskar och med liknande resonemang borde bostadsprisena öka när avståndet till närmaste kollektivtrafik minskar.  För att uppnå syftet genomförs en litteraturstudie för att få bättre förståelse för teorin bakom den monocentriska stadsmodellen, den hedoniska prismodellen samt för att klargöra olika prispåverkande faktorer på bostadspriser. Utifrån teorin ställs hedoniska prismodeller upp där olika lägesvariabler analyseras.  Resultaten från de olika modellerna visar att för småhus är en monocentrisk stadsmodell applicerbar på Sundbybergs kommun. Däremot kan det inte dras någon slutsats om en monocentrisk stadsmodell för lägenheter. ​Principerna i den monocentriska modellen är svårapplicerade på området, främst för att Sundbyberg påverkas mycket av närheten till Stockholms innerstad men också för att kommunen är liten och inte homogen. Avståndet till närmaste kollektivtrafik visar sig ha motsatt effekt på bostadspriserna från hypotesen. Ägare till både småhus och lägenheter är inte villiga att betala mer för en bostad placerad nära kollektivtrafik. Däremot ​har närhet till kollektivtrafik en påverkan på slutpriset som överensstämmer med hypotesen i vissa områden i kommunen.  I rapporten är den insamlade datan begränsad vilket påverkar resultatet. ​För att ta fram en bättre värderingsmodell och kartläggning av faktorn avstånd måste därför fler lägesfaktorer samt andra prispåverkande faktorer inkluderas i modellen. / The location of a residence is considered to be the most important element when illuminate real estate values and housing prices, but the element is problematically due to its amplitude. The element, location, is unique and no housing is another comparable which implicates the difficulty to value a residence. There is a great variety in housing prices and how they varies is hard to identify due to the large amount of affecting elements.  The basis of this work is the study of how the housing prices depends on the location element and how it differs between houses and apartments. The location element implicate ​distance to a city center​ and ​distance to the closest public transport​ . The research will be applied at a local level in Sundbyberg and relate to a possible monocentric city model, where distance substantially is temporal and not only geografic.  One of the models that attempt to explain the location elements variety is the monocentric city model. According to the theory, housing prices increases the closer the object is situated to a city. The reason why the prices increases closer to the city is because citizens will be prepared to pay more for housing when the transportation cost decreases. This study examine inter alia if the monocentric city model can be applied on a local level in Sundbyberg by checking a potential relation between housing prices and the distance to city. To be able to try out the influence of various location elements on housing prices, hedonic price models are applied. A hedonic price model breaks down an ensembled observed price to implicit prices for each attribute. Generally, the model is carried out to understand the housing price. The intention of the work is to study if a relation between housing prices and the distance to a local city center anticipates. If the structure of housing prices can be charted with the models it would facilitate the planning of new domains and infrastructure, as well as illuminate attributes valuable in a region. This work also aim to examine how housing prices are influenced by distance to public transports and how that differs between various local areas. According to the monocentric theory, housing prices ought to increase when the distance to the city center decreases, with similar reasoning housing prices ought to increase when the distance to closest public transport decreases. To achieve the purpose a literature study is implemented to obtain immerse understanding of the theory behind the monocentric city model, the hedonic price model but also to clarify various elements that affect housing prices. Based on the theory, location elements are, in this report, analyzed in hedonic price models.  The result from the different models implicates that for houses in Sundbyberg a monocentric city model is applicable. However, no conclusion can be made for apartments in Sundbyberg. The principles of the model are hard to applicate on the area, mostly because Sundbyberg is affected by the vicinity to the inner city of Stockholm but also because of the small area and the lack of homogeneity. The distance to the closest public transport shows an opposite effect on the housing prices than the hypothesis. Both house and apartment owners are not prepared to pay more for a residence closer to a public transport. However, corresponding to the hypothesis, vincinity to public transport has in some local areas in Sundbyberg an impact on housing prices. The collected data in the report is limited which affect the result. To be able to receive a better valuation and clarification of the distance element, the model need to include more location elements and other elements that affect housing prices

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The purpose of this study is to investigate whether or not green certificates have an impact on income-generating commercial buildings' rent compared to similar non-certified commercial buildings. In addition, evaluate if there exists a variation in the rent premium between the different certifications and if the rental premium increases with the distance from city center. To answer the research questions a quantitative approach with hedonic pricing regressions has been conducted. For the purpose of this study, three types of hedonic regressions models have been estimated. To capture the effect of green certificates, the models have controlled for structural, locational and, quality attributes of the buildings. The first model examinedwhether certified office buildings archive a rent premium compared to non-certified buildings. The second model separated the label into indicator variables to capture the effect of each individual label. Lastly, the third model analyzed the progressive effect of the interaction between distance and certification. This study uses a dataset of rent observations for office buildings from four major Swedish cities – Stockholm, Gothenburg, Malmö and Uppsala – in order to analyze the rent premium of green certifications. The result of this study indicates that there exists a premium of 4,9 to 5,4 percent for certified buildings. When investigating each certification label the results indicate a rental premium of 10 percent forBREEAM, 5,1 percent for LEED, and 4,4 percent for Miljöbyggnad. Lastly, the finding suggests an incremental premium for certified buildings located farther away from the city center. This study contributes to the rising literature on the topic of green office buildings, as it is the first study to investigate the rental impact of green certification on the Swedish market. / Syftet med denna studie är att undersöka om miljöcertifieringar har en hyrespåverkan på kontorsbyggnader, i jämförelse med liknande icke-certifierade kontorsbyggnader. Vidare,undersöka om hyrespremien skiljer sig mellan de olika miljöcertifieringarna samt om hyrespremien ökar med avståndet från citykärnan. För att kunna besvara forskningsfrågorna har regressionsanalyser genomförts, bestående av tre olika modeller. Modellerna kontrollerar för strukturella, lägesspecifika och kvalitativa attribut. Den första modellen undersöker huruvida certifierade byggnader erhåller en högre hyra i jämförelse med icke-certifierade byggnader. Den andra modellen separerar de olika typerna av miljöcertifieringar för att undersöka vilken certifiering som bidrar med högst hyrespremie. Slutligen, den tredje modellen analyserar den stegvisa effekten av interaktionen mellan avstånd och certifiering. Datasetet som studien baseras på består av hyreskontrakt från de fyra största städerna iSverige – Stockholm, Göteborg, Malmö och Uppsala. Resultaten påvisar att det existerar en hyrespremie för certifierade byggnader på 4,9 till 5,4 procent. Premien skiljer sig beroende på vilken certifiering byggnader har, resultaten påvisar en hyrespremie på 10 procent för BREEAM, 5,1 procent för LEED och 4,4 procent för Miljöbyggnad. Resultaten visar även att det finns en stegvis hyrespremie för certifierade byggnader som är belägna längre bort från stadens centrum. Avslutningsvis, denna studie bidrar till den befintliga litteraturen gällande gröna byggnader, då det är den första studien i Sverige som undersöker förhållandet mellan hyresnivå och miljöcertifieringar.

The construction industry's two main certifications are Leadership in Energy and Environmental Design (LEED) and Energy Star. To achieve the triple bottom line of sustainability for these certifications, both certifications should make a positive impact individually as well as mutually, with their impact extending to the surrounding neighborhood. This research examined the spillover effect of LEED and/or Energy Star certified office buildings on the property values of other buildings in their neighborhood in Manhattan, New York City from an economic standpoint. The spatial analysis approach using the Geographic Information System and the statistical analysis approach based on the Hedonic Price Model and the Linear Mixed Effect Model were applied to identify the geographical distribution of LEED and/or Energy Star certified office buildings and their other buildings in their neighborhoods and analyze the impact of the former on the latter. The results were as follows: 1) There was a significant correlation between a LEED and/or Energy Star certified office building and the unit market values of its adjoining buildings through the unit market values of the certified office building, the LEED and/or Energy Star certification achievement, and the major features of LEED certification; 2) There was a varying spillover effect of the certified office building on the median unit market value of buildings depending on their proximities to a LEED and/or Energy Star certified office building. This research provides a firm foundation for further efforts to quantify the spillover effect of LEED and/or Energy Star certification on a neighborhood from an economic standpoint, thus supporting and encouraging growth in the local real estate market and benefitting not only the owners, developers, and investors of the certified office building but also the owners of neighboring buildings. / Ph. D.