A Flexible Method Of House Price Index Construction Using Repeat Sales Aggregates
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| Author | : William D. Larson |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : |
| ISBN | : |
The major issue which we address in this paper is the one-size-fits-all nature of the typical city-level house price index. In this vein, we make two contributions. First, we develop a new algorithm to ensure feasible estimation of geographically granular repeat-sales house price indices in cases of low transactions counts. This facilitates the estimation of a balanced panel of 63,122 Census tract-level repeat-sales house price indices (2010 definitions) at an annual frequency between 1989 and 2021, which we release alongside this paper. Second, we use these indices to estimate city-level house price indices that are robust to heterogeneous submarket appreciation and non-random sampling, two issues that confound classic approaches. Numerical simulations show this algorithm uncovers population indices even when house prices, quantities, and transaction sampling vary across locations and over time. This approach can be used in a flexible manner to calculate canonical price indices such as Lowe and Laspeyres, and more tailored summary indices on a variety of topics, including collateral valuation, climate risk assessment, or tracking changes to minority housing wealth over time.
| Author | : Thomas G. Thibodeau |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 266 |
| Release | : 1997-03-31 |
| Genre | : Business & Economics |
| ISBN | : 9780792398837 |
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 | : Anthony Owusu-Ansah |
| Publisher | : Routledge |
| Total Pages | : 222 |
| Release | : 2018-07-11 |
| Genre | : Business & Economics |
| ISBN | : 1351590995 |
The importance of house prices to households, real estate developers, banks and policy-makers cannot be overemphasised. House price changes affect consumer spending and business investment patterns, which in turn affect the wider macro economy and the entire business cycle. Measuring and understanding house prices is therefore essential to a functioning economy, but researchers continue to disagree on the best methodological approach for constructing real estate indices. This book argues the need for more accurate house price indices, outlines the various methods used to construct indices and discusses the existing house price indices around the globe. It shows how the raw data of property transactions can be prepared for the purpose of constructing indices, discusses various applications of property price indices and empirically demonstrates how the index numbers can be used to model the supply of new houses and to estimate the price elasticity of supply. Essential reading for economists, real estate professionals and researchers, and policy-makers.
| Author | : Jordan Rappaport |
| Publisher | : |
| Total Pages | : 30 |
| Release | : 2007-09-01 |
| Genre | : |
| ISBN | : 9781422317426 |
In recent years, the U.S. has experienced wide swings in the growth rate of housing prices (HP). To understand the behavior of HP it is crucial to have an accurate measure of aggregate HP. However, it is difficult to develop such a measure. Analysts rely on 3 approaches to measure the aggregate price of housing. The 1st averages all observed HP, with no attempt to control for heterogeneity. The 2nd looks at repeat sales of the same property. The 3rd treats a house as a bundle of attributes, each with its own price that changes over time. Here is an overview of the 3 methodol. for pricing housing & a detailed guide to the major house price indices used by housing analysts. There is no one ¿best¿ measure of HP. Each of the 3 has advantages. Illus.
| Author | : OECD |
| Publisher | : OECD Publishing |
| Total Pages | : 222 |
| Release | : 2023-10-26 |
| Genre | : |
| ISBN | : 9264464948 |
This report addresses housing inequities through a series of analytical chapters and case studies. The cross-country chapters examine the effects of the COVID-19 pandemic on housing demand, develop a proposal for a green land value tax, evaluate the dynamics between fiscal autonomy and housing supply responsiveness, as well as explore the drivers of inter-regional migration.
| Author | : Marko Hannonen |
| Publisher | : Suomen E-painos Oy |
| Total Pages | : 51 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : 9526613767 |
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.
| Author | : John M. Clapp |
| Publisher | : |
| Total Pages | : 22 |
| Release | : 1996 |
| Genre | : |
| ISBN | : |
| Author | : Jing Wu |
| Publisher | : |
| Total Pages | : |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
Most existing house price index construction methods are developed manly based on transaction data from the secondary housing markets, and are not necessarily suitable for the nascent housing markets where a predominant portion of housing transactions are new units. Using the booming market in China as an example, we evaluate and compare the performances of three most common house price measurement methods in the newly-built housing sector, including the simple average method without quality adjustment, the matching approach with the repeat sales modeling framework, and the hedonic modeling approach. Our analyses suggest that the simple average method fails to account for the substantial complex-level quality changes over time of sale during our sample period, and the matching model fails to control for the effect of developers' pricing behaviors when adopted in the newly-built sector, hence both are downward biased. Based on this finding, we apply a hedonic method, which allows us to control for both quality changes over time of sales and developers' pricing behaviors, to 35 major newly-built housing markets and provide the first multi-city constant-quality house price index in China. The new index reveals that the current Chinese housing market ifs facing a greater risk of mispricing than reported by the existing official metrics.
| Author | : Peter Englund |
| Publisher | : |
| Total Pages | : |
| Release | : 1999 |
| Genre | : |
| ISBN | : |
Housing transactions are executed and recorded daily but are routinely pooled into longer time periods for the measurement and analysis of housing price trends. We utilize an unusually rich data set, covering essentially all arm's length housing sales in Sweden for a dozen years, in an attempt to understand the effect of temporal aggregation upon estimates of housing prices and their volatilities. This rich data set also provides a unique opportunity to compare the results using the conventional weighted repeat sales model (WRS) to those based on a research strategy which incorporates all available information on house sales. The results indicate the clear importance of temporal disaggregation in the estimation of housing prices and volatilities--regardless of the model employed. The appropriately disaggregated mode is then used as benchmark to compare estimates of the course of housing prices produced by the two models during the twelve year period 1981-1993. These results indicate that much of the difference between estimates of price movements can be attributed to the data limitations which are inherent in the repeat sales approach. The results, thus, suggest caution in the interpretation of government-produced price indices or those produced by private firms based on the repeated sales model.
| Author | : John R. Knight |
| Publisher | : |
| Total Pages | : |
| Release | : 1998 |
| Genre | : |
| ISBN | : |
Conventional housing price index models assume interperiod parameter stability and typically employ either repeat sales or hedonic methodologies. This paper introduces a method of index construction that combines multiple sales observations with single sale transactions while permitting characteristics prices from hedonic regressions to vary over time. A test for interperiod parameter stability is provided. Each period's data are arranged by location and repeat sales are matched by rows. This construction allows greater use of sample information and acknowledges the unique contribution of repeat sales to the estimation process. It also produces intertemporal error correlations that can be beneficially exploited by the seemingly unrelated regressions (SUR) technique. The paper also demonstrates a significance test for error correlation and discusses the treatment of unequal numbers of observations among index periods.
