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Author: Hany Guirguis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The US housing market has experienced significant cyclical volatility over the last twenty-five years due to major structural changes and economic fluctuations. In addition, the housing market is generally considered to be weak form inefficient. Houses are relatively illiquid, exceptionally heterogeneous, and are associated with large transactions costs. As such, past research has shown that it is possible to predict, at least partially, the time path of housing prices. The ability to predict housing prices is important such that investors can make better asset allocation decisions, including the pricing and underwriting of mortgages. Most of the prior studies examining the US housing market have employed constant coefficent approaches to forecast house price movements. However, this approach is not optimal as an examination of data reveals substantial sub-sample parameter instability. To account for the parameter instability, we employ alternative estimation methodologies where the estimated parameters are allowed to vary over time. The results provide strong empirical evidence in favor of utilizing the rolling Generalized Autoregressive Conditional Heteroskedastic (GARCH) Model and the Kalman Filter with an Autoregressive Presentation (KAR) for the parameters' time variation. Lastly, we provide out-of-sample forecasts and demonstrate the precision of our approach.
Author: Hany Guirguis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The US housing market has experienced significant cyclical volatility over the last twenty-five years due to major structural changes and economic fluctuations. In addition, the housing market is generally considered to be weak form inefficient. Houses are relatively illiquid, exceptionally heterogeneous, and are associated with large transactions costs. As such, past research has shown that it is possible to predict, at least partially, the time path of housing prices. The ability to predict housing prices is important such that investors can make better asset allocation decisions, including the pricing and underwriting of mortgages. Most of the prior studies examining the US housing market have employed constant coefficent approaches to forecast house price movements. However, this approach is not optimal as an examination of data reveals substantial sub-sample parameter instability. To account for the parameter instability, we employ alternative estimation methodologies where the estimated parameters are allowed to vary over time. The results provide strong empirical evidence in favor of utilizing the rolling Generalized Autoregressive Conditional Heteroskedastic (GARCH) Model and the Kalman Filter with an Autoregressive Presentation (KAR) for the parameters' time variation. Lastly, we provide out-of-sample forecasts and demonstrate the precision of our approach.
Author:
Publisher:
ISBN:
Category : Construction industry
Languages : en
Pages : 354
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Book Description
Author: Richard K. Green
Publisher: The Urban Insitute
ISBN: 9780877667025
Category : Political Science
Languages : en
Pages : 240
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Book Description
The first book that explains the economics of housing policy for a general audience. Planners, government officials, and public policy students will find that the economic perspective is a very powerful and useful way to examine these issues. The authors provide a broad review of the market for housing services in the U.S., including a conceptual framework, an overview of housing demand and supply, methods for measuring prices and quantities, and sources of basic data on markets. They cover housing programs and polices, and offer answers to policy questions that are of current interest. The book has been field-tested in graduate and undergraduate courses in urban and housing economics at the University of Wisconsin, the University of California--Berkeley, The University of Pennsylvania, and others. This book is also sure to be useful to policymakers, advocates, economists, and anyone interested in a clear picture of how housing markets function. Published in cooperation with the American Real Estate and Urban Economics Association (AREUEA).
Author: Lawrence A. Souza
Publisher: Routledge
ISBN: 1000487644
Category : Political Science
Languages : en
Pages : 68
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Book Description
The stirrings of reform or more of the same? U.S. Housing Policy, Politics, and Economics shares a stark and urgent message. With a new president in the White House and the economy emerging from its peak pandemic lows, the time is right for transformative federal housing legislation—but only if Congress can transcend partisan divides. Drawing on nearly a century of legislative and policy data, this briefing for scholars and professionals quantifies the effects of Democratic or Republican control of the executive and legislative branches on housing prices and policies nationwide. It exposes the lasting consequences of Congress’ more than a decade of failure to pass meaningful housing laws and makes clear just how narrow the current window for action is. Equal parts analysis and call to arms, U.S. Housing Policy, Politics, and Economics is essential reading for everyone who cares about affordable, accessible housing.
Author: Yarui Li
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The housing market plays a significant role in shaping the economic and social well-being of U.S. households. It helps spur U.S. economic growth when house prices rise, and drags the economic growth when house prices drop. In this dissertation, an analysis is conducted to project the direction of the U.S. housing market and to discover how it interacts with economic fundamentals. New pieces of information are found, which are deemed to facilitate decision making for both policy makers and investors. In the first part of the dissertation, the groupings of U.S. housing markets are studied using cluster and discriminant analysis. Three clusters are found, which are located in the central, the east coast, and the west coast of US. There are no price signals transmitted among these housing market clusters, nor within each cluster. Thus, the communication of information in the housing market is through the process of utility convergence of marginal residents, and no price convergence across regions is found. Next, the impact of credit constraint on the house prices is examined with the stochastic components of the price series being considered. Both a simulation technique and a DAG approach are employed. The resulting causal pattern shows that credit constraints affect the house prices directly and positively. Moreover, credit constraints work as an intermediary, passing the influence of the house investor, household income, and user cost onto house prices, which suggests that the credit relaxation policy should be carried out with caution when house inventory and household income send inconsistent signals. Last, the model selection for house price analysis is discussed from the perspective of large-scale models -- dynamic factor (DFM) model and large-scale Bayesian VAR (LBVAR) model. The LBVAR models are found to have superior performance compared to the DFM model throughout the prediction period. Also, it is found that the combined forecasts do not necessarily outperform individual forecasts. Even though independent information from different individual models improves the forecast accuracy, the benefit gained from marginal information is offset by the larger error brought by such combination. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/151894
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: Leland S. Burns
Publisher: Springer Science & Business Media
ISBN: 1468451618
Category : Business & Economics
Languages : en
Pages : 218
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Book Description
This book's title betrays at once that it belongs in the forecast literature. Peering into the future is a notoriously treacherous venture. Nevertheless, it has become a prac tice endemic to the business and government worlds as well as to academia, especially economics. We like to be lieve that the enormous growth of forecasting in the face of some disappointments reflects real needs of decision makers (as well as the general public's well-warranted curiosity about the future). Fashion alone could hardly explain the sustained increase in the market for forecast services during the past few decades. Some professionals insist on fine distinctions be tween the forecast, the projection, the prediction-and the prophecy. The differences are more semantic than real, as the mandatory resort to Webster confirms. The entry "forecast" includes references to prediction and prophecy without differentiation, while "projection" is defined, among other things, as prediction or "advance estimate." We use mainly the term projections because v PREFACE vi much of our statistical research is based on forward es timates of population and households by the U.S. Bu reau of the Census which the bureau itself, the greatest fountain of data in the world, records as projections.
Author: Peter A. Morrison
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 32
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Book Description
Demographic forces will reshape the market for new housing during the remainder of this century. In particular, the amount of needed new housing will be stimulated by the maturation of the large "baby boom" generation; the financial capacity to afford new housing will be strengthened by the predominance of two-earner couples; the type of preferred housing will reflect evolving residential needs dictated by diverse living arrangements; and housing demand will tend to be concentrated within certain regions and metropolitan areas.
Author: Pascal Towbin
Publisher: International Monetary Fund
ISBN: 1513596233
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
Between 1996 and 2006 the U.S. has experienced an unprecedented boom in house prices. As it has proven to be difficult to explain the large price increase by observable fundamentals, many observers have emphasized the role of speculation, i.e. expectations about future price developments. The argument is, however, often indirect: speculation is treated as a deviation from a benchmark. The present paper aims to identify house price expectation shocks directly. To that purpose, we estimate a VAR model for the U.S. and use sign restrictions to identify house price expectation, housing supply, housing demand, and mortgage rate shocks. House price expectation shocks are the most important driver of the boom and account for about 30 percent of the real house price increase. We also construct a model-based measure of exogenous changes in price expectations and show that this measure leads a survey-based measure of changes in house price expectations. Our main identification scheme leaves open whether expectation shifts are realistic or unrealistic. In extensions, we provide evidence that price expectation shifts during the boom were primarily unrealistic and were only marginally affected by realistic expectations about future fundamentals.
Author:
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 428
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Book Description
