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A key element in the build-up to the global recession and subsequently was the movement in house price indexes (HPIs). These indexes are particularly prone to methodological and coverage differences which can undermine both within-country and cross-country economic analysis. The paper outlines key measurement issues and reports on empirical work using an international panel data set that (i) considers whether differences in HPI measurement matter and, if so, in what way, and (ii) revisits the measurement of global house price inflation and the modeling of the determinants of house price inflation using HPIs corrected for differences in measurement practice.
A key element in the build-up to the global recession and subsequently was the movement in house price indexes (HPIs). These indexes are particularly prone to methodological and coverage differences which can undermine both within-country and cross-country economic analysis. The paper outlines key measurement issues and reports on empirical work using an international panel data set that (i) considers whether differences in HPI measurement matter and, if so, in what way, and (ii) revisits the measurement of global house price inflation and the modeling of the determinants of house price inflation using HPIs corrected for differences in measurement practice.
Author : Statistical Office of the European Communities Publisher : International Monetary Fund Page : 186 pages File Size : 13,32 MB Release : 2013-08-13 Category : Business & Economics ISBN : 1475588313
For most citizens, buying a residential property (dwelling) is the most important transaction during their lifetime. Residential properties represent the most significant component of households’ expenses and, at the same time, their most valuable assets. The Residential Property Prices Indices (RPPIs) are index numbers measuring the rate at which the prices of residential properties are changing over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. This Handbook provides, for the first time, comprehensive guidelines for the compilation of RPPIs and explains in depth the methods and best practices used to calculate an RPPI. It also examines the underlying economic and statistical concepts and defines the principles guiding the methodological and practical choices for the compilation of the indices. The Handbook primarily addresses official statisticians in charge of producing residential property price indices; at the same time, it addresses the overall requirement on RPPIs by providing a harmonised methodological and practical framework to all parties interested in the compilation of such indices. The RPPIs Handbook has been written by leading academics in index number theory and by recognised experts in RPPIs compilation. Its development has been coordinated by Eurostat, the statistical office of the European Union, with the collaboration of the International Labour Organization (ILO), International Monetary Fund (IMF), Organisation for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE) and the World Bank.
This booklet discusses some major methodological issues relating to the construction of house price models on a macro level. There is no single method that always produces the optimal results; the choice of a particular approach, method, theory, model and technique is context-dependent. This is especially true in housing markets, where a multitude of different submarkets exist. The methodology chosen should be based on sound theory, from which the basic concepts of analysis can be derived. This booklet discusses the use of potential models, which can be constructed using a general field theory, and which act as a theoretical foundation for further analysis. If we use potential models for house price analysis we can discover additional features from the data set that other approaches would simply miss. This e-book presents a pragmatic overview of key methodological concerns with the emphasis on the use of potential models. Theoretical methodological questions are left unanswered, and are not even presented in this text, since they have little relevancy to real-world modelling questions.
Using listings data, we construct a new repeat-sales house price index that describes house values at the contract date when the price is determined rather than the closing date when the property is transferred. We show that this difference in timing helps explain several puzzles about house prices including their strong short-term serial correlation and their weak correlation with stock prices and macroeconomic news shocks. In addition, we show that a variant of our index that relies exclusively on listings data for recent transactions accurately reveals trends in house prices several months before existing price indexes like Case-Shiller become available.
In the recent years, complex systems research has included economy as a complex web of human interactions, and exciting progress has been made in connecting economy to biological, cognitive and behavioral sciences. Certain tools of statistical physics can be used in the area of complex systems which certainly includes economics. This work deals with the effects of economic indicators on house prices in eighteen countries, mostly in the western world. The economic indicators utilized in this study are gross domestic product, population, Consumer Price Index and Retail Price Index. By using a clustering algorithm, changes in house prices in different countries are used to categorize these countries. These results are then used to investigate the possible house price bubbles in these countries.
We examine the interest rate elasticity of housing prices, advancingthe empirical literature in two directions. First, we take a commonly used cross-country panel dataset and evaluate the housing price equation using a consistent estimator in the presence of endogenous explanatory variables and a lagged dependent variable. Second, we carry-out a novel analysis of determinants of residential housing prices in a cross-section of countries. Our results show that the short-term interest rate, and hence monetary policy, has a sizable impact on residential housing prices.
House prices in Europe have shown diverging trends, and this paper seeks to explain these differences by analyzing three groups of countries: the "fast lane", the average performers, and the slow movers. Price movements in the first two groups are found to be driven mostly by income and trends in user costs, and housing markets in these countries seem relatively more susceptible to adverse developments in fundamentals. Real house price declines among the slow movers are harder to explain, although ample supply, low home ownership, and less complete mortgage markets are likely factors. The impact of macroeconomic, prudential and structural policies on housing markets can be large and should be a factor in policy decisions.
Research paper on limitations of and alternatives to consumer price price index as a cost of living measurement in the USA - asseses merits and demerits as an index for escalating wages, social security and old age benefits, describes purpose, uses and construction, compares with alternative measures of price changes, and suggests changes for improvement by including housing costs and mortgage interests and updating the weight base more frequently, etc. References and statistical tables.