The drug issue has a massive impact on almost every society nowadays. It has deep influences in people\'s quotidian and an almost ubiquitous growth in consumption. This study aims at assessing whether the textitde facto legal sale of cannabis influences real estate prices. Evaluating how these prices change gives us some notion of the externalities involved in those sales and how people regard it. We organized a panel with georeferenced data from Air Bnb lodgings offered in Amsterdam, from May 2014 until July 2017. During this period, several coffeeshops were closed due to new legislation. We estimate that losing the closest coffeeshop, when it is within a 250m radius from the lodging, decreases the renting price, on average, on 3%, and when it is farther has no significant impact. / A questão das drogas hoje em dia possui impacto massivo em praticamente todas as sociedades. Ela possui influências profundas no cotidiano das pessoas e um ubíquo crescimento no consumo. Esse estudo visa investigar se a venda legal de maconha influencia preços de imóveis. Avaliando como esses preços mudam nos dá uma noção tanto das externalidades envolvidas no processo de venda, quanto de como as pessoas se sentem com relação a elas. Organizamos um painel com dados georeferenciados de apartamentos do Air Bnb ofertados em Amsterdam, de Maio de 2014 à Julho de 2017. Durante esse período, diversos coffeeshops foram fechados devido a nova legislação local. Nós estimamos que este fechamento, quando ocorrido a menos de 250m de um apartamento, diminui o preço do aluguel, em média, em quase 3%, e não possui influências significantes para maiores distâncias.

The drug issue has a massive impact on almost every society nowadays. It has deep influences in people\'s quotidian and an almost ubiquitous growth in consumption. This study aims at assessing whether the textitde facto legal sale of cannabis influences real estate prices. Evaluating how these prices change gives us some notion of the externalities involved in those sales and how people regard it. We organized a panel with georeferenced data from Air Bnb lodgings offered in Amsterdam, from May 2014 until July 2017. During this period, several coffeeshops were closed due to new legislation. We estimate that losing the closest coffeeshop, when it is within a 250m radius from the lodging, decreases the renting price, on average, on 3%, and when it is farther has no significant impact. / A questão das drogas hoje em dia possui impacto massivo em praticamente todas as sociedades. Ela possui influências profundas no cotidiano das pessoas e um ubíquo crescimento no consumo. Esse estudo visa investigar se a venda legal de maconha influencia preços de imóveis. Avaliando como esses preços mudam nos dá uma noção tanto das externalidades envolvidas no processo de venda, quanto de como as pessoas se sentem com relação a elas. Organizamos um painel com dados georeferenciados de apartamentos do Air Bnb ofertados em Amsterdam, de Maio de 2014 à Julho de 2017. Durante esse período, diversos coffeeshops foram fechados devido a nova legislação local. Nós estimamos que este fechamento, quando ocorrido a menos de 250m de um apartamento, diminui o preço do aluguel, em média, em quase 3%, e não possui influências significantes para maiores distâncias.

Predictions of market values are important for investment decisions and risk management of banking institutions, developers and, last but not least, households. Increased access to real estate market data and reducing valuatin costs were one of the most important reasons to be interested in developing and subsequent using of automated valuation models (AVM) worldwide. However, the implementation of AVM in the Czech Republic is still limited to a minimum. The aim of the thesis is to theoretically describe some alternative statistical methods used by AVM, such as fuzzy logic, ANN, spatial econometrics or hedonic models, characterize AVM, their use and analyze their current application in the Czech Republic and outline further possible development.

This dissertation attempts to provide a comprehensive examination on the non-market valuation of the effect of open space amenities and local public infrastructure on the value of urban land and housing with both spatial heterogeneity and project heterogeneity. The demand for raw land is a derived demand for housing built on it. Therefore, we need to examine the land market and the housing market together. On the one hand, we estimate the value of urban land in a market that does not satisfy the usual assumptions of a competitive market structure as well as incentive incompatibility issues for transaction participants, with an application to a Chinese regional wholesale land market. These two violations to the traditional hedonic theory also generate two separate valuations on land with differentiated characteristics. On the other hand, we utilize the relative plane coordinates system, the three-dimensional distances, as well as the aggregate weight matrix, to implement the spatial hedonic estimation on the high-rise residential buildings in the same regional housing retail market in China. After these two steps, this dissertation, therefore, focuses on the profit maximization behavior of the property developer, which is the key role to link the factor market (i.e., the land market) and the commodity market (i.e., the housing market) together. Two methods are then employed to implement the hypothesis test on the hedonic price estimation including both inputs and outputs. First, a set of partial derivatives of the profit function with respect to various characteristics gives us the relationship between the marginal valuations in the land market and in the housing market. Second, we introduce a joint estimation approach that we call the spatial full information maximum likelihood (SFIML), which considers the land market, the housing market, and the property developer's profit maximization behavior all together in the estimation. Finally, we conduct a hypothesis test in both of these two scenarios to examine the validity of our linked markets assumption on the hedonic price estimation.