Author: Canada Mortgage and Housing CorporationPublisher:
ISBN:
Category : Housing forecasting
Languages : en
Pages : 85
Book Description
Econometric and Time Series Models of the Provincial Housing Markets
Author: Canada Mortgage and Housing CorporationPublisher:
ISBN:
Category : Housing forecasting
Languages : en
Pages : 85
Book Description
Econometric and Time Series Models of the Housing Sector and Mortgage Market
Author: Soo-Bin ParkPublisher:
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.
An Econometric Model of Provincial Housing Markets
Author: Econometric Analyses of International Housing Markets
Author: Rita Yi Man LiPublisher: Routledge
ISBN: 1317587928
Category : Business & Economics
Languages : en
Pages : 199
Book Description
This book explores how econometric modelling can be used to provide valuable insight into international housing markets. Initially describing the role of econometrics modelling in real estate market research and how it has developed in recent years, the book goes on to compare and contrast the impact of various macroeconomic factors on developed and developing housing markets. Explaining the similarities and differences in the impact of financial crises on housing markets around the world, the author's econometric analysis of housing markets across the world provides a broad and nuanced perspective on the impact of both international financial markets and local macro economy on housing markets. With discussion of countries such as China, Germany, UK, US and South Africa, the lessons learned will be of interest to scholars of Real Estate economics around the world.
Real Estate Modelling and Forecasting
Author: Chris BrooksPublisher: 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.
A Time Series Model of the Housing Market
Author: Clifford L. F. AttfieldPublisher:
ISBN:
Category : House buying
Languages : en
Pages : 27
Book Description
The Econometrics of Multi-dimensional Panels
Author: Laszlo MatyasPublisher: Springer
ISBN: 3319607839
Category : Business & Economics
Languages : en
Pages : 467
Book Description
This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field. This book is aimed at filling this widening gap. The first theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.
Microlog, Canadian Research Index
Author: Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 1550
Book Description
An indexing, abstracting and document delivery service that covers current Canadian report literature of reference value from government and institutional sources.
Econometric Models of Eleven Single Family Housing Markets
Author: Irene Diane JenkinsSpatial Econometrics: Methods and Models
Author: L. AnselinPublisher: Springer Science & Business Media
ISBN: 9401577994
Category : Business & Economics
Languages : en
Pages : 295
Book Description
Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.