An Empirical Study of Sample-Selection Bias in Indices of Commercial Real Estate

Real estate price indices based solely on samples of sold properties may not accurately represent the population of properties due to potential sample-selection bias. This study addresses this potential for sample-selection bias in the construction of commercial price indices within the context of the Phoenix area office market. The empirical analysis confirms the presence of sample-selection bias in the estimation of the total price equation. However, within this sample, the price indices generated after correcting for sample-selection bias do not appear significantly different from those that do not consider selectivity bias.     

Value indices of commercial real estate: A comparison of index construction methods

The purpose of this paper is to shed light on the history of commercial property values over the past decade, and to compare different methods of constructing commercial property value indices and returns series. We examine three types of indices: (i) Indices that attempt to reconstructproperty market values by unsmoothing the appraisal-based Russell-NCREIF Index; (ii) Indices that trace average ex posttransaction prices of commercial property over time; and (iii) an index based onunlevering REIT share prices. By comparing the different historical pictures that result from the various index construction methodologies, one gains insight into the nature of commercial property price and valuation behavior. The REIT-based values lead the other indices in time but display greater short-run volatility. The transactions-based indices lag behind the other series in time, and are consistent with the idea that institutional investors attempt to hold onto properties until they can sell them for a price at least equal to the current appraised value, in effect trading off liquidity for reduced volatility.     

Price Indices Based on the Hedonic Repeat-Sales Method: Application to the Housing Market

Shiller (1993) proposes the hedonic repeated-measures (HRM) approach to measuring constant quality price indices for heterogeneous assets such as some bonds and real estate. We derive a mathematical relationship between the coefficients of the HRM model and those from the standard repeat-sales model, and we demonstrate how hedonic characteristics should be chosen for inclusion in the HRM model. Empirical estimates using Fairfax, Virginia, housing transactions data show that the HRM price index evaluated at the mean of the hedonic variable is virtually identical to the standard repeat sales index, just as predicted by our mathematical relationship. But the HRM allows estimation of different price paths for heterogeneous assets. We demonstrate that use of assessed value as the only hedonic characteristic allows parsimonious HRM estimates.     

Controlling for Quality in House Price Indices

Given the importance of house prices it is not surprising that house price indices are used for many purposes. One of the factors that differentiates these indices is the house price determinants (such as structural characteristics and neighborhood quality) that are accounted for—that is, held constant. Indices are usually generated from house price regressions. It is shown that, regardless of the desired level of accounting, it is necessary to control for all significant determinants of house prices in these regressions to obtain unbiased estimates of the growth in house prices. An empirical example shows that not controlling for neighborhood quality can lead to substantial biases in estimates of house price appreciation rates even if the index does not account for this factor.     

A Bayesian Approach to the Construction and Comparison of Alternative House Price Indices

Several repeat-sales models have been advanced over the years for estimating real estate price indices. This article proposes a general model which incorporates earlier works as special cases and compares the alternative repeat-sales models using posterior odds ratios as criteria. While the existing literature estimates the real estate indices from the sampling point of view, in this article indices are constructed and then compared using a Bayesian approach. In general, the two-error term models outperform the one-error models. The model with a nontemporal component proposed by Goetzmann and Spiegel is found to be superior in three out of four cities. There is a significant discrepancy among the returns and indices obtained from different models.     

Three New Real Estate Price Indices for Geneva,Switzerland

This paper develops constant-quality price indices for three categories of real estate-apartment buildings, vacant land, and condominiums—for the city of Geneva, Switzerland. We use both the hedonic and repeat sales models to estimate the price level and, in turn, the rate of price change. The general pattern of each series suggests that real estate prices in Geneva were fairly stable throughout the 1970s, increased sharply during the 1980s, but gave back some of these gains in the early 1990s. Interestingly, the sharp rise in prices in the second half of the 1980s is very similar to that found in some regions of the United States. We also consider the problem, implicit in the repeat sales method, of revisions in previously estimated price indices as additional data become available in later years.     

Land Value and Parcel Size: A Semiparametric Analysis

We use a semiparametric estimator to analyze the relationship between land values and parcel size in a sample of 158 undeveloped parcels in the Portland, Oregon, metropolitan area. The semiparametric estimator combines the benefits of parametric and nonparametric estimation. The value-size relationship is estimated nonparametrically, which permits the function to be linear, convex, and concave in different regions. A simple log-linear parametric relationship is assumed for the rest of the model, which conserves degrees of freedom and simplifies hypothesis testing. Our semiparametric estimates do not reject log-linearity for the value-size relationship.     

The Construction of Residential Housing Price Indices: A Comparison of Repeat-Sales,Hedonic-Regression,and Hybrid Approaches

This article examines a number of hypotheses that underpin the repeat-sales and hedonic approaches to the construction of housing price indices, as well as the practical problems associated with the implementation of either approach. We also examine a hybrid procedure that combines elements of both the repeat-sales and hedonic-regression techniques. For our sample of individual home sales in Oakland and Fremont California over an 18-year period, repeat-sales methods are subject to sample selection bias; the maintained assumption of time constancy of implicit prices of housing attributes is violated; the repeat-sales estimator is extremely sensitive to influential observations; and the usual method used to correct for heteroskedasticity in repeat-sale housing returns is inappropriate in our sample. Hedonic techniques are better suited to contend with index number problems per se, as they can accommodate changing attribute prices over time. They also appear to give rise to more reliable estimates of price indices, as unusual observations have less effect on estimated price indices. Drawbacks of the hedonic approach include the usual concern with omitted attributes, and their effect on the estimated price index.     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.     

Transportation Improvements and Land Values in the Antebellum United States: A Hedonic Approach

We offer county-level estimates of the effect of water and rail access on the value of antebellum farms. Employing a hedonic model, we find that in 1850 average farm values in counties with access to a canal or navigable river were $2.68 per acre greater than counties without such access and $1.80 greater with rail access. In 1860 the figures were $3.75 for a canal or river access and $1.35 for rail. With average farm size around 200 acres and per capita national income roughly $150 during the decade, we conclude that on average transportation access yielded substantial economic gains.     

Commercial Banks in the Securities Business: A Review

This paper analyses the potential effects of commercial banks' expansion into the securities business in the context of the contemporary theory of financial intermediation. The analysis focuses on the gains claimed to emerge with that expansion, particularly the gains due to information advantages and economies of scope, and on the costs also claimed to arise with it; namely, those due to conflicts of interest and safety and soundness considerations. The paper ends with a discussion on how these effects depend on the location of the securities unit within the banking conglomerate.     

Determinants of House Prices: A Quantile Regression Approach

OLS regression has typically been used in housing research to determine the relationship of a particular housing characteristic with selling price. Results differ across studies, not only in terms of size of OLS coefficients and statistical significance, but sometimes in direction of effect. This study suggests that some of the observed variation in the estimated prices of housing characteristics may reflect the fact that characteristics are not priced the same across a given distribution of house prices. To examine this issue, this study uses quantile regression, with and without accounting for spatial autocorrecation, to identify the coefficients of a large set of diverse variables across different quantiles. The results show that purchasers of higher-priced homes value certain housing characteristics such as square footage and the number of bathrooms differently from buyers of lower-priced homes. Other variables such as age are also shown to vary across the distribution of house prices.

金融控股公司:中国商业银行综合化经营的可行选择

综合化经营作为国际银行业发展的主流模式，是国内经济金融发展的必然要求，为中国商业银行积极实践综合化经营提供了必要和可能。金融控股公司是综合化经营的重要形式，相对于全能银行和母子公司制银行两种方式更具有相对优势，应成为我国商业银行综合化经营的组织模式。     

Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models

This research reports results from a competition on modeling spatial and temporal components of house prices. A large, well-documented database was prepared and made available to anyone wishing to join the competition. To prevent data snooping, out-of-sample observations were withheld; they were deposited with one individual who did not enter the competition, but had the responsibility of calculating out-of-sample statistics for results submitted by the others. The competition turned into a cooperative effort, resulting in enhancements to previous methods including: a localized version of Dubins kriging model, a kriging version of Clapps local regression model, and a local application of Cases earlier work on dividing a geographic housing market into districts. The results indicate the importance of nearest neighbor transactions for out-of-sample predictions: spatial trend analysis and census tract variables do not perform nearly as well as neighboring residuals.     

全球化、资产价格变动与中国货币政策反应——基于泰勒规则的扩展研究

在经济全球化、虚拟化的背景下对泰勒规则进行了扩展研究,分析了利率与汇率、利率与资产价格的相关影响机制;并采用静态模型和基于预期的动态模型对名义利率与通货膨胀水平、产出缺口、汇率、股票价格缺口以及房地产价格缺口之间的关系进行了检验。结果显示,考虑预期因素的动态模型能够达到稳定通货膨胀的作用,短期名义利率对于汇率和资产价格起到了符合经济意义的稳定作用。     

Estimating price trends for residential property: A comparison of repeat sales and assessed value methods

The repeat sales methodology for estimating residential price indices is based on actual appreciation of individual properties. On the other hand, the repeat sales method wastes data, typically discarding a large percentage of all sales. This article explores two issues related to the subsample of repeat sales. First, are paired sales representative of the entire population of properties that sold? Second, is there evidence that sample selectivity biases the price trend estimates? Evidence from five metropolitan areas supports a negative answer to the first question and the second question. It appears that a “lemon” or “starter home” effect causes repeat residential sales to be a biased subsample of all transactions. Cumulative price trends for the repeat subsamples can differ from the full samples over periods ranging from two to ten quarters. While short-term price trends can differ widely, there are no systematic differences among the samples over long periods of time (e.g., three years or more).     

地方商业银行与第三方支付平台的竞合关系思考——以福建A银行为例

近年来,第三方支付平台展现出巨大的影响力,其在冲击银行传统零售业务的基础下,也促进了银行创新与转型发展。通过构建地方商业银行与第三方支付平台的博弈模型,将地方商业银行和第三方支付平台依次作为决策方,设定选择合作或竞争作为双方之间的博弈策略,通过动态博弈选择,获得地方商业银行和第三方支付平台的博弈结果。并且,以福建A银行为例,对其与第三方支付平台的竞合关系进行现实考察,验证博弈分析的结果。基于地方商业银行视角,从竞争层面看,应提高自身渠道功能,增强竞争实力;从合作层面看,应积极开展业务合作,实现业内共赢。     

Property Company Stock Price and Net Asset Value: A Mean Reversion Perspective

This study investigates the relationship between property company stock prices (P) and their net asset values (NAV) from a mean reversion perspective. In contrast to U.K. evidence, we find that there is absence of a long-term stable relationship between the two series. However, the variance ratio tests and multi-period regressions suggest that both P and NAV series have exhibited transitory components. In addition, there is some evidence of mean reversion behavior of Singapore property stock prices toward the property companies' NAVs over the past 15 years from 1985 to 1999, both at individual company level and in the sector as a whole. The results also reveal that NAV, as a traditional proxy to fundamental value, is significant in capturing the dynamics of the changes in property stock prices. Hence NAV is relevant in property company valuation. However the extent of mean reversion between the property stock prices and NAVs is slow and deviations between the two markets' valuation could therefore be prolonged.