This book presents the essential ideas of the field theory of house prices. This theory combines some fundamental concepts of classical physics and standard economics, providing a new, alternative way of thinking about house prices. In the field theory of house prices a new concept of analysis is defined: house prices by distance from the CBD (Central Business District). In traditional neoclassical economics, house prices are analysed directly without including the location element of a house. The field theory, however, takes location explicitly into account by analysing house prices divided by the distance from the CBD. The main ideas of the field theory are also applicable to the land markets and facilities markets, where location plays a significant role in the analysis of property prices.
The author is a Doctor of Science (Technology), whose research interest focuses on applied mathematics and economics.
This is an e-book about a dynamic field theory of house prices, which simplifies the ideas in the author’s previous work, A Field Theory of House Prices (ISBN 978-952-6613-36-9). The text provides new, highly workable ideas based on the major ideas of classical physics combined with the major ideas of classical economics. This synthesis is known as a dynamic field theory of house prices. This is a novel theory that provides a unified, general framework for decision-making that can be applied to any macro-level question about house prices.
In order to understand the ideas of this e-book, it is assumed that the reader has a basic understanding of mathematics, which is the language of exact science.
The workability of the ideas presented in this e-book are demonstrated using some real, large data sets. These empirical results are documented in the presented material.
The local disposable income and the interest variable typically applied in Finland are the ”pushing forces” that generate the demand field. The supply side is the ”attracting force” that does not influence the house prices in the samples investigated, but is still a force that exists.
What is a house price? What are the demand field and supply field of housing? This book explains these issues.
"As with previous editions, the authors have produced a leading textbook on regression."
—Journal of the American Statistical Association
A comprehensive and up-to-date introduction to the fundamentals of regression analysis
Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including:A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data.
In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material.
Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.