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"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--
This booklet is a final complement to the series of investigations (”A Field Theory of House Prices”, ISBN 978-952-6613-36-9 and ”Nonstandard House Price Theory”, ISBN 978-952-6613-66-6) on the fundamental nature of house prices, which is, strictly speaking, a mathematical question. As in the earlier e-books on the scientific essence of house prices by the author, this booklet analyses house prices using the concept of a vector field. The fundamental idea underlying this e-book is that housing demand, housing supply and house prices can be investigated not as scalar functions but as genuine vector fields.
This booklet discusses some major methodological issues relating to the construction of house price models on a macro level. There is no single method that always produces the optimal results; the choice of a particular approach, method, theory, model and technique is context-dependent. This is especially true in housing markets, where a multitude of different submarkets exist. The methodology chosen should be based on sound theory, from which the basic concepts of analysis can be derived. This booklet discusses the use of potential models, which can be constructed using a general field theory, and which act as a theoretical foundation for further analysis. If we use potential models for house price analysis we can discover additional features from the data set that other approaches would simply miss. This e-book presents a pragmatic overview of key methodological concerns with the emphasis on the use of potential models. Theoretical methodological questions are left unanswered, and are not even presented in this text, since they have little relevancy to real-world modelling questions.
This volume showcases selected conference papers addressing the sustainable future of ASEAN from the perspectives of business and social science disciplines. In addressing the 17 Sustainable Developments Goals (SDGs) envisioned by the United Nations in the domains of environment, health and well-being, posing potential means of reducing inequalities globally, the authors target specific issues and challenges confronting the fast-growing region of ASEAN and present suggestions for co-operation and commitment from governments, non-governmental organisations (NGOs) and society at large, in line with the ASEAN Vision 2020. Papers are selected from the 3rd International Conference on the Future of ASEAN (ICoFA) 2019, organised by Universiti Teknologi MARA in Malaysia, whose conference theme “Charting the Sustainable Future of ASEAN” enables intellectual discourse on sustainability issues from business and the social sciences, as well as science and technology. The selection of papers is published in two volumes, comprising scholarly and practical insights into sustainability in ASEAN. This first volume of papers from business and social science scholars will be of interest to researchers and policymakers interested in sustainability developments in the ASEAN region.
Explains how we got into the current economic disaster that developed out of the economics and politics of the housing boom and bust. The "creative" financing of home mortgages and "creative" marketing of financial securities based on these mortgages to countries around the world, are part of the story of how a financial house of cards was built up--and then collapsed.
This research reports results from a competition on modeling spatial and temporal components of house prices. A large, well-documented database was prepared and made available to anyone wishing to join the competition. To prevent data snooping, out-of-sample observations were withheld; they were deposited with one individual who did not enter the competition, but had the responsibility of calculating out-of-sample statistics for results submitted by the others. The competition turned into a cooperative effort, resulting in enhancements to previous methods including: a localized version of Dubin's kriging model, a kriging version of Clapp's local regression model, and a local application of Case's earlier work on dividing a geographic housing market into districts. The results indicate the importance of nearest neighbor transactions for out-of-sample predictions: spatial trend analysis and census tract variables do not perform nearly as well as neighboring residuals.
Originally published in 1982, this book contains research in the area of econometric modelling in the housing market, including that which has extended to the use of search models. The subjects covered include the importance of racial differences, spatial aspects of residential search and information provision and its effect on the behaviour of the buyers. The combination of careful analytic modelling, empirical testing and speculative discussions of the role of agents in the search process provides an innovative and imaginative approach to the interesting problems of understanding the individual behaviour in complex contexts such as the urban housing market.
This paper investigates the developments in house price synchronization across countries by a dynamic factor model using a country- and city-level dataset, and examines what drives the synchronization. The empirical results indicate that: (i) the degree of synchronization has been rising since the 1970s, and (ii) a large heterogeneity in the degree of synchronization exists across countries and cities. A panel and cross-sectional regression analysis show that the heterogeneity of synchronization is partly accounted for by the progress in financial and trade openness. Also, the city-level analysis implies that the international synchronization is mainly driven by the city-level connectivity between large and international cities.
House prices in many advanced economies have risen substantially in recent decades. But experience indicates that housing prices can diverge from their long-run equilibrium or sustainable levels, potentially followed by adjustments that impact macroeconomic and financial stability. Therefore there is a need to monitor house prices and assess whether they are sustainable. This paper focuses on fundamentals expected to drive long run trends in house prices, including institutional and structural factors. The scale of potential valuation gaps is gauged on the basis of a cross-country panel analysis of house prices in 20 OECD countries.