Author: Mick Silver
Publisher: International Monetary Fund
Published: 2014-05-01
Total Pages: 31
ISBN-13: 1484364546
DOWNLOAD EBOOK →Transaction-price residential (house) and commercial property price indexes (RPPIs and CPPIs) have inherent problems of sparse data on heterogeneous properties, more so CPPIs. In an attempt to control for heterogeneity, (repeat-sales and hedonic) panel data regression frameworks are typically used for estimating overall price change. We address the problem of sparse data, demonstrate the need to include spatial price spillovers to remove bias, and propose an innovative approach to effectively weight regional CPPIs along with improvements to higher-level weighting systems. The study uses spatial panel regressions on granular CPPIs for the United States (US).
Author: Dean H. Gatzlaff
Publisher:
Published: 2013
Total Pages:
ISBN-13:
DOWNLOAD EBOOK →This study examines the feasibility of constructing reliable commercial property price indices using property tax records. We employ the Clapp and Giacotto (1992) assessed-value method to estimate price indices for commercial properties in Florida. The estimated Florida commercial property price index is compared to the Moody's/REAL Commercial Property Price Index (CPPI) and to the transaction-based index (TBI) produced at MIT. Our results are promising, suggesting that this widely-available data source can be used to produce commercial property price indices for a variety of precise market locations and specific investor segments.A secondary but interesting objective of this paper is to use our rich and comprehensive database to examine the price performance of two specific subsets of properties in more detail. First, we narrow our range to focus on just the office sector for Florida. We compare price movements providing support to both methods. Second, we contrast the price performance of higher-and lower-valued properties and reject the hypothesis that their periodic price index levels are equal. The mean price changes of Florida commercial properties assessed at $2.5 million and above are observed to be slightly higher than for properties assessed below $2.5 million, although not statistically different. In particular, higher-valued properties had higher mean price changes rleative to lower-valued properties during periods of economic expansion. This economic difference represents an importnat contribution toward beginning to understand the relative peformance of smaller and investment-grade commercial properties.
Author: W. Erwin Diewert
Publisher: Department of Economics, University of British Columbia
Published: 1995
Total Pages: 80
ISBN-13:
DOWNLOAD EBOOK →The paper is an extensive review of chapter 16 in the System of National Accounts, 1993 written by Peter Hill. The basic principles for measuring price and quantity change in the National Accounts are explained. The paper also presents some new material on the consistency of superlative indexes with indexes which are additive in their components. Some new material on the treatment of quality change is also presented which indicates that traditional Statistical Agency treatments of this issue will lead to upward bias in price indexes. The literature on sources of bias in consumer price indexes is also reviewed.
Author:
Publisher:
Published: 2017
Total Pages: 194
ISBN-13: 9789279639654
DOWNLOAD EBOOK →Developments in the real estate sector can have a strong impact on the economy, in particular on the financial system. For that reason, policymakers need relevant statistical information, including reliable indicators, to help identify the emergence of systemic risks originating in the real estate sector. While the statistical coverage of the residential real estate market has much improved over the last decade, the commercial property sector was given less attention. The importance of measuring commercial property price indicators and the difficulties in properly doing so, particularly in the context of official statistics, were the driving force behind the production of this report. The primary aim is to outline concepts, methods, data sources and key issues so as to better inform compilers and users. The report makes a first attempt at setting out the wide range of challenges linked to the measurement of commercial property. It provides a basis for further work in this new area of statistics. ‘Commercial property price indicators: sources, methods and issues’ was written by leading academics in index number theory and experts in the compilation of real estate indicators. Its development was coordinated by Eurostat, the statistical office of the European Union, with the collaboration of Bank of International Settlements (BIS), European Central Bank (ECB), International Monetary Fund (IMF), Organisation for Economic Co-operation and Development (OECD), under the aegis of the Inter-Secretariat Working Group on Price Statistics (IWGPS).
Author: Mick Silver
Publisher: International Monetary Fund
Published: 2014-05-01
Total Pages: 31
ISBN-13: 1484364635
DOWNLOAD EBOOK →Transaction-price residential (house) and commercial property price indexes (RPPIs and CPPIs) have inherent problems of sparse data on heterogeneous properties, more so CPPIs. In an attempt to control for heterogeneity, (repeat-sales and hedonic) panel data regression frameworks are typically used for estimating overall price change. We address the problem of sparse data, demonstrate the need to include spatial price spillovers to remove bias, and propose an innovative approach to effectively weight regional CPPIs along with improvements to higher-level weighting systems. The study uses spatial panel regressions on granular CPPIs for the United States (US).
Author: G. Donald Jud
Publisher:
Published: 1999
Total Pages:
ISBN-13:
DOWNLOAD EBOOK →This study constructs a nonresidential, constant-quality price index, based on the assessed-value approach, and adjusts for the possibility for sample selection bias. The sample consists of a large sample of commercial and office properties located in Charlotte, N.C. during 1981-1994. Statistical tests for sample selection bias suggest that bias is present in the office sample, but not in the commercial property sample. For office properties, the selection process is such that higher prices prevail for equivalent office properties that sell relative to those that do not sell. The estimated price indexes indicate average appreciation rates of 16.2% for commercial property and 9.9% for office property.