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A Time Series Model of the Housing Market

A Time Series Model of the Housing Market PDF Author: Clifford L. F. Attfield
Publisher:
ISBN:
Category : House buying
Languages : en
Pages : 27

Book Description


A Time Series Model of the Housing Market

A Time Series Model of the Housing Market PDF Author: Clifford L. F. Attfield
Publisher:
ISBN:
Category : House buying
Languages : en
Pages : 27

Book Description


Modelling Spatial Housing Markets

Modelling Spatial Housing Markets PDF Author: Geoffrey Meen
Publisher: Springer Science & Business Media
ISBN: 9780792373070
Category : Business & Economics
Languages : en
Pages : 286

Book Description
Spatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.

A Time Series Model of the Housing Market

A Time Series Model of the Housing Market PDF Author: Clifford L. F. Attfield
Publisher:
ISBN:
Category : House buying
Languages : en
Pages : 27

Book Description


Modelling Spatial Housing Markets

Modelling Spatial Housing Markets PDF Author: Geoffrey Meen
Publisher: Springer Science & Business Media
ISBN: 1461516730
Category : Business & Economics
Languages : en
Pages : 279

Book Description
Spatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.

Econometric and Time Series Models of the Housing Sector and Mortgage Market

Econometric and Time Series Models of the Housing Sector and Mortgage Market PDF Author: Soo-Bin Park
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 174

Book Description
This report is organized into two parts. In part I of the report a description of the basic structure of an econometric model of the Canadian housing sector and mortgage market is presented. The model is a result of the effort of the Canada Mortgage and Housing Corporation to enhance its forecasting ability in the area of the housing sector and mortgage market in the Canadian economy. Structural equations of the model have been estimated using available quarterly data in the period from 1963:1 to 1990:4. Time series data on many housing and mortgage market variables are not available for the entire 30 year period. Thus the sample period used in the model estimation varies from one equation to another, depending on the availability of data for the variables included in the equation. Part II presents a series of autoregressive integrated moving average (ARIMA) models of Canadian housing sector and mortgage market variables. It includes a brief summary of ARIMA modeling techniques. Appendix A at the end of the report contains a list of variables and their data sources and Appendix C, a selected bibliography of ARIMA modeling.

Real Estate Modelling and Forecasting

Real Estate Modelling and Forecasting PDF Author: Chris Brooks
Publisher: Cambridge University Press
ISBN: 1139487167
Category : Business & Economics
Languages : en
Pages : 474

Book Description
As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Applications and Innovations in Intelligent Systems IX

Applications and Innovations in Intelligent Systems IX PDF Author: Ann Macintosh
Publisher: Springer Science & Business Media
ISBN: 1447101499
Category : Computers
Languages : en
Pages : 223

Book Description
Ann Macintosh Napier University, UK The papers in this volume are the refereed application papers presented at ES2001, the Twenty-fIrst SGES International Conference on Knowledge Based Systems and Applied ArtifIcial Intelligence, held in Cambridge in December 200 I. The scope of the application papers has expanded over recent years to cover not just innovative applications using traditional knowledge based systems, but also to include applications demonstrating the whole range of AI technologies. These papers continue to illustrate the maturity of AI as a commercially viable technology to solve real world problems. The papers were subject to refereeing by at least two expert referees. All papers that were in any way controversial were discussed in depth by the Application Programme Committee. For the ES2001 Application Stream, a paper is acceptable even if it describes a system that has not yet been installed, provided the application is original and the paper discusses the kind of things that would help others needing to solve a similar problem. Papers have been selected to highlight critical areas of success - and failure - and to present the benefIts and lessons learnt to other developers. This volume contains sixteen papers describing deployed or emerging applications in a range of diverse areas: business and commerce, engineering, manufacturing, knowledge and information management, and music.

Evaluating Alternative Methods of Forecasting House Prices

Evaluating Alternative Methods of Forecasting House Prices PDF Author: William D. Larson
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
This paper compares the performance of different forecasting models of California house prices. Multivariate, theory-driven models are able to outperform atheoretical time series models across a battery of forecast comparison measures. Error correction models were best able to predict the turning point in the housing market, whereas univariate models were not. Similarly, even after the turning point occurred, error correction models were still able to outperform univariate models based on MSFE, bias, and forecast encompassing statistics and tests. These results highlight the importance of incorporating theoretical economic relationships into empirical forecasting models.

Theory and Applications of Time Series Analysis and Forecasting

Theory and Applications of Time Series Analysis and Forecasting PDF Author: Olga Valenzuela
Publisher: Springer Nature
ISBN: 3031141970
Category : Mathematics
Languages : en
Pages : 331

Book Description
This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

Research Handbook on Housing, the Home and Society

Research Handbook on Housing, the Home and Society PDF Author: Keith Jacobs
Publisher: Edward Elgar Publishing
ISBN: 1800375972
Category : Social Science
Languages : en
Pages : 639

Book Description
This dynamic Research Handbook explores key perspectives, topics and methodologies used to understand housing, the home and society. Pairing social theory with a broad range of case studies from the Global North and South, it offers a unique insight into the field.