Economic Time Series Modeling of U.S. Housing Prices PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 78
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 78
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Book Description
Author: Avi Goldfarb
Publisher: University of Chicago Press
ISBN: 022620684X
Category : Business & Economics
Languages : en
Pages : 510
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Book Description
There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.
Author: Geoffrey Meen
Publisher: Springer Science & Business Media
ISBN: 1461516730
Category : Business & Economics
Languages : en
Pages : 279
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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.
Author: William R. Bell
Publisher: CRC Press
ISBN: 1439846588
Category : Mathematics
Languages : en
Pages : 544
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Book Description
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
Author: Thomas Sowell
Publisher: Basic Books (AZ)
ISBN: 0465018807
Category : Business & Economics
Languages : en
Pages : 194
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Book Description
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.
Author: Clifford L. F. Attfield
Publisher:
ISBN:
Category : House buying
Languages : en
Pages : 27
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Book Description
Author: Thomas G. Thibodeau
Publisher: Springer Science & Business Media
ISBN: 9780792398837
Category : Business & Economics
Languages : en
Pages : 266
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Book Description
This book contains a special issue of the Journal of Real Estate Finance and Economics, comprising thirteen articles on house price measurement. These articles address the various procedures used to compute cross-sectional or temporal house price indices. Specifically, these articles contain research that: (1) evaluates hedonic, repeat sales, or hybrid approaches to constructing house price indices; (2) evaluates alternative sources of data on house prices and corresponding housing characteristics; (3) identifies the most influential land, structural, neighborhood, and proximity determinants of house prices (and associated changes in house prices); (4) provides a methodology for identifying housing market segments; (5) incorporates spatial autocorrelation in house price indices; and (6) provides more accurate estimates of the variance in house prices.
Author: Sherwin Rosen
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 43
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Book Description
A decentralized market theory of investment based on rising supply price is formulated and explained. Asset prices embody all available information in a competitive market and serve as "sufficient statistics" for future market conditions. Construction is determined myopically by marginal cost pricing: rising supply price constrains aggregate investment. Market dynamics imply that anticipated pulses in demand and interest rates lead to "bubbles" in prices, rentals and construction, because it pays to "build ahead of demand" in the presence of rising supply price. This model, similar to q-theory, assumes that long and short run elasticities of supply are identical. Short-run supply is less elastic than long-run supply when internal adjustment costs are superimposed on rising supply price. Then the current construction decision is no longer myopic and current price (or current q) is no longer sufficient for investment. Instead, builders must anticipate the future path of asset prices for current construction decisions. This enriched model is estimated under the hypothesis of rational expectations. The short-run elasticity is found to be 1.0 inquarterly data. The long-run elasticity is 3.0. The long-run is achieved within one year, indicating substantial built-in flexibility in the industry to accomodate great volatility in housing construction. Elastic supply helps account for the large fluctuations in output and employment observed in this industry. The data also show that prices alone do not clear the market. Other nonprice dimensions, including expected time-to-sale and overall transactions volume play independent roles which remain to be explained
Author: Soo-Bin Park
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 174
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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.
Author: William D. Larson
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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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.
