This study examines the factors that affect the decision by home buyers to use real estate brokers and the subsequent effect this decision has on home prices. Buyers with high opportunity costs and the least amount of information about local market conditions are the most likely to use brokers; a finding consistent with the role of the real estate broker as a market intermediary. Not surprisingly, these were some of the same factors that also have a positive impact on selling price. An important finding of this study is that when selection bias is adequately controlled, the real estate broker has no appreciable, independent impact on selling price. This, in turn, suggests a nonsegmented, highly competitive housing market.

The diploma thesis aims to use determination method to make the most accurate cost estimates on apartments, determine average price ranges for m2 in housing areas with ongoing developer projects in Prague with minimum of 50 apartments. Based on the received figures, a price map of Prague will be drawn up that will allow for classification according to the selected criteria (e.g. -- parts of town, apartment categories etc.) Using this price map, particular price zones will be defined for individual apartment categories within the newly prepared Ekospol plc. project.

The main purpose of this study is to develop a predictive model capable to forecast residential real estate prices in the city of Prague using Artificial Intelligence methods. The first part of this study discusses fundamentals of Artificial Neural Networks and Fuzzy Inference Systems in the context of real estate valuation. The second part demonstrates a development and testing of such models using a dataset of real estate market transactions. In the third part, results are compared to Multiple Regression and an explanatory power of each model is evaluated. Conclusions of this research are: (1) Artificial Neural Networks and Fuzzy Inference Systems give more accurate estimates of market values of residential real estates than Multiple Regression; (2) Artificial Neural Networks and Fuzzy Inference Systems represent an efficient way of modeling and analyzing residential real estate prices in Prague.

for the master's thesis The structure of the master's thesis includes an introduction, three chapters, a conclusion, the references and applications. The foundations of the complex and spatial development of the city and their features are determined in the first chapter. The main directions of the complex development of the city are systematized and examples and peculiarities of quarterly construction and foreign experience of implementing projects based on the principle of quarterly development are considered. The second chapter describes the methodological aspects of the study on the choice of the strategy for the implementation of the project. The socio-economic consequences of realizing development projects and on their results the forming of the optimal way of construction are also examined. The residential property market in the city of Yekaterinburg is also analyzed. The third chapter presents an analysis of the development project, implemented by the necessary criteria and carried out its economic evaluation. The project budget was drawn up and the efficiency of the investment project for the construction of the residential property was assessed. The main part of the thesis is presented in 90 pages, contains 7 tables, 2 figures and 2 formulas. / Структура магистерской диссертации включает в себя введение, три главы, заключение, список использованных источников и приложения. В первой главе определяются основы комплексного и пространственного развития города и их особенности. Систематизируются основные направления комплексного развития города и рассматриваются примеры и особенности квартальной застройки и зарубежный опыт реализации проектов, основанных на принципе квартальной застройки. Во второй главе проводится анализ методических аспектов исследования по выбору стратегии реализации проекта. Рассмотрены социально-экономические последствия реализации девелоперских проектов и на их результатах cформированы оптимальные пути строительства. Также анализируется рынок жилой недвижимости в городе Екатеринбурге. В третьей главе представлен анализ девелоперского проекта, реализуемого по необходимым критериям и проведена его экономическая оценка. Составлен бюджет проекта и проведена оценка эффективности инвестиционного проекта по строительству объекта жилой недвижимости. Основная часть диссертационной работы изложена на 90 страницах, содержит 7 таблиц, 2 рисунка и 2 формулы.