Issues in measuring a monthly house price index in New Zealand

The sale price appraisal ratio (SPAR) method, which takes the ratios of the current house prices and their previous assessed values to construct an index, has been applied in New Zealand since the 1960s. This paper uses housing market transaction data for 12 cities in New Zealand (1994–2004) to develop monthly SPAR house price indices. These indices were subjected to a variety of statistical tests and benchmarked against the comparable monthly quality controlled weighted repeat sales indices. Finally, the paper provides some useful suggestions for future research based on the SPAR index and other alternative house price indices, such as the assessed value (AV) method.     

Daily House Price Indices: Construction,Modeling, and Longer‐run Predictions

We construct daily house price indices for 10 major US metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat‐sales method that closely mimics the methodology of the popular monthly Case–Shiller house price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of longer‐run monthly house price changes that are superior to various alternative forecast procedures based on lower‐frequency data. Copyright © 2015 John Wiley & Sons, Ltd.     

The Valuation of Real Capital: A Random Walk down Kungsgatan

This paper analyzes the temporal pattern of prices for single-family housing. We estimate models of house price dynamics using a repeat sales framework, and we use the results to test for a random walk in asset prices. For eight large samples of housing transactions, representing essentially all house sales in Sweden during a 12-year period, we reject the hypothesis that house prices follow a random walk in favor of a model of first-order serial correlation.     

城市住房价格指数编制方法的拓展设计及实证检验

科学监测城市房价走势,在当前环境下尤为重要。为拓展国际通行方法编制国内单一城市房价指数的适用性,引入样本匹配重复交易法构建房价指数,以提高样本容量与可比性。基于上海数据的实证结果表明,相较于传统重复交易法和特征价格法,样本匹配重复交易法能更准确地反映住房价格变动,结果异常波动性更小,噪声影响程度更低,在克服样本代表性误差和变量缺失误差方面效果更显著,对编制国内城市房价指数具有较好应用价值。     

Estimating house price appreciation: A comparison of methods

Several parametric and nonparametric methods have been advanced over the years for estimating house price appreciation. This paper compares five of these methods in terms of predictive accuracy, using data from Montgomery County, Pennsylvania. The methods are evaluated on the basis of the mean squared prediction error and the mean absolute prediction error. A statistic developed by Diebold and Mariano is used to determine whether differences in prediction errors are statistically significant. We use the same statistic to determine the effect of sample size on the accuracy of the predictions. In general, parametric methods of estimation produce more accurate estimates of house price appreciation than nonparametric methods. And when the mean absolute prediction error is used as the criterion of accuracy, the repeat sales method produces the most accurate estimate among the parametric methods we tested. Finally, of the five methods we tested, the accuracy of the repeat sales method is least diminished by a reduction in sample size.     

Measuring environmental effects on property values without hedonic regressions

The effect of environmental nuisances on property values has been frequently studied using hedonic regressions, yet that method has extensive data and estimation requirements. The technique developed in this paper uses repeat sales on houses to substantially reduce these requirements. The technique adjusts for depreciation between sales and allows for nonzero error covariance terms when a house has been sold more than twice. The effect of highway noise on property values is studied using this method, and the results are statistically equivalent to the results of an extensive hedonic study for the same area.     

Renewable energy and negative externalities: The effect of wind turbines on house prices

In many countries, wind turbines are constructed as part of a strategy to reduce dependence on fossil fuels. In this paper, we measure the external effect of wind turbines on the transaction prices of nearby houses. A unique Dutch house price dataset covering the period 1985–2011 is used, as well as the exact location of all wind turbines that were built in the Netherlands. Using a difference-in-differences methodology we find a 1.4% price decrease for houses within 2 km of a turbine. There is also evidence for anticipation effects a few years before placement of a turbine. The effect is larger for taller turbines and in urban areas. Especially the first turbine built close to a house has a negative effect on its price.     

The historical development of the Swiss rental market – A new price index

A new data set is employed to construct an index of the Swiss rental residential market starting as early as 1936. Given the data sample at our disposal of slightly less than 1000 paired data points spread across all Switzerland, we focus on using the most efficient type of repeated-measurement index to evaluate the yearly price development of the rental property market. In the process of building the index, an alternative of the SPAR method (Sale Price Appraisal Ratio) is developed and compared against a structural time series model and the Case–Shiller approach. The newly developed ISPAR (Inverse SPAR) method yields qualitatively similar results to the regression based methodology yet is influenced to a lesser extent by the sample size. The structural time series model is the version least influenced by the sample size. An interesting finding in our sample is that despite the large time span between successive price measurements, no notable improvement is obtained using the 3SLS method of Case–Shiller instead of the traditional Bailey et al. method.     

HR research in the Netherlands: imitation and innovation

In this paper we present an overview of Dutch HRM Research in the last decade, based on a content analysis of academic journals in this area. Also included is a comparison between UK and USA research, on the one hand, and Dutch research, on the other. Looking back, we conclude that HRM research in the Netherlands has had a relatively institutional character and has been less focused on HRM activities in a narrow sense. Dutch HRM researchers have paid less attention to the strategic positioning of HRM, to the redesign of HRM tools in the area of through-flow and performance management (appraisal, reward systems, feedback mechanisms) and to the monitoring of the effects of HRM. In this way HRM research has not reflected the key HRM issues occupying the attention of practitioners. From more recent patterns, however, we expect Dutch HRM research increasingly to reflect managerial concerns. This does not imply full convergence with US patterns, especially given the Dutch traditions in industrial relations and personnel management. The challenge for Dutch research on HRM is to find the right balance between market forces and institutional arrangements, including a fair position for the workers; this will have to do justice to the long established tradition of industrial democracy and consultation practices among the various stakeholders.     

House price risk and the hedging benefits of home ownership

Using a repeat-sales methodology, this paper finds that estimates of house price risk based on aggregate house price indices substantially underestimate the true size of house price risk. This is the result of the fact that aggregate house price indices average away the idiosyncratic volatility in house prices. Additional results show that the idiosyncratic risk exceeds the hedging benefits of home ownership. These results imply that for many home owners, owning a house may well add more price risk than it hedges away. These findings are based on a detailed dataset of individual housing transactions in the Netherlands.     

Eliminating chain drift in price indexes based on scanner data

The use of scanner data in the CPI makes it possible to compile superlative price indexes at detailed aggregation levels since prices and quantities are available. A potential drawback is the high attrition rate of items. The usual solution to handle this problem, high-frequency chaining, can create drift in the index series due to price and quantity bouncing arising from sales. Ivancic, Diewert and Fox (2009) have recently proposed an approach that provides drift free, superlative-type indexes through adapting multilateral index number theory. In this paper we apply their proposal to seven product groups and find promising results. We compare the results with those obtained by using the Dutch method to deal with supermarket scanner data.     

房地产泡沫实证分析——以天津市为例

从房地产价格增长率/GDP增长率、房价收入比、房地产开发投资/全社会固定资产投资、商品房施工面积/商品房竣工面积、房屋空置率和销售竣工比、货币供给(M2)增长率等多个泡沫指标比较来看:1996～2008年天津市的房地产投资热度持续升温,商品房价格持续快速上涨,2003～2008年间,天津房地产市场发展过热,房地产市场存在一定的泡沫现象。而加强土地监管,遏制外国游资,增加信息透明度,完善住房保障制度,强化经济杠杆的调控作用,拓宽融资渠道,优化房地产业投资结构,多种措施抑制炒房,发展经济,提高居民收入是抑制房地产泡沫进一步膨胀的有效对策。     

基于BSC的销售人员KPI考核方法及应用研究

对销售人员进行有效的绩效考核,直接关系到对销售人员的激励与约束,也影响着企业的内部管理。当前国内的企业在销售人员的考核中对绩效考核的内容考虑不全面,绩效考核结果没有充分利用。这些行为对绩效考核产生了消极的影响。企业应该从销售人员绩效考核指标入手,采用科学的管理方法,建立一整套销售人员的绩效考核体系,从而提高绩效考核在企业销售人员管理中的积极作用。     

A micro view on home equity withdrawal and its determinants: Evidence from Dutch households

For most households, home ownership is the largest wealth component that has become more accessible through innovation and deregulation in mortgage markets. This paper studies the factors driving home equity withdrawal (HEW) at the household level using Dutch survey data. In the Netherlands, house prices were growing fast and mortgage expenses are to a large extent tax deductible. Expectations and perceptions do seem to play an important role in HEW. Withdrawers tend to be more positive about house price developments and – although having lower income – less concerned about their future economic situation. HEW can have a significant impact on both households and the economy, with most of the equity released being reinvested in the housing sector and only a small share used to finance consumption expenditure.     

HEDONIC PRICE INDEXES FOR RESIDENTIAL HOUSING: A SURVEY,EVALUATION AND TAXONOMY

Every house is different. It is important that house price indexes take account of these quality differences. Hedonic methods which express house prices as a function of a vector of characteristics (such as number of bedrooms and bathrooms, land area and location) are particularly useful for this purpose. I consider here some developments in the hedonic methodology, as it is applied in a housing context, that have occurred in the last three decades. A number of hedonic house price indexes are now available. However, it is often difficult to see how these indexes relate to each other. For this reason I attempt to impose some structure on the literature by developing a taxonomy of hedonic indexes, and then show how existing indexes fit into this taxonomy. Also discussed are some promising areas for future research in the hedonic field. In particular, greater use needs to be made of spatial econometric and nonparametric methods to exploit the increased availability of geospatial data. The main criticisms of the hedonic approach are evaluated and compared with those of the repeat‐sales and stratified median methods. The overall conclusion is that the advantages of the hedonic approach outweigh its disadvantages.     

The regulatory tax and house price appreciation in Florida

Much attention was given to the soaring price of housing that took place in different parts of the country in the 1990s and the first half of the current decade. Traditional explanations for the increase include rising land values and costs of construction, but a strand of literature, popularized by Glaeser et al. [Glaeser, Edward L., Gyourko, Joseph, Saks, Raven, 2005a. Why have housing prices gone up? National Bureau of Economic Research Working Paper #11129; Glaeser, Edward L., Gyourko, Joseph, Saks, Raven, 2005b. Why is manhattan so expensive? Regulation and the rise in housing prices. The Journal of Law and Economics 48(2)], has looked at the role of land use regulations and posits that complying with them imposes a regulatory tax on housing consumers. In this paper, we apply and extend Glaeser and Gyourko’s methodology in order to estimate the regulatory tax on an individual house level in a set of Florida metropolitan areas. Our novel data address some of the quality measurement concerns raised about the Glaeser and Gyourko methodology and allow us to look at the evolution of the regulatory tax over a 10-year period. We find that the tax is an important component of sales price and that as a percentage of sales price has increased in a majority of Florida’s MSAs. In addition, we decompose the overall house price increase into land, materials and regulatory components and find that increasing stringency in the regulatory environment within Florida represents a substantial portion of the run-up in house prices in most metropolitan areas.     

Hedonic price and depreciation indexes for residential housing: A comment

A regression technique for developing residential real estate price indexes using repeat sales on properties has not allowed the separation of depreciation from true price changes. In a recent article Chinloy [2] has proposed a method for achieving this separation. This note shows that his theoretical derivation is incorrect. A corrected model is then used to show the stringent assumptions that are necessary to interpret his empirical results as measuring embodied technological change. The true price effects and the depreciation effects still cannot be separated in such a model.     

一种新的利用网络爬虫技术的土地价格指数编制方法

研究目标：目前有关中国土地价格指数的研究没有考虑不可观测特征的影响,本文给出一种可以控制不可观测特征的土地价格指数编制方法。[HTH]研究方法：通过结合传统的特征价格模型和重复交易模型,提出固定地理单元并利用组内差分以控制地块不可观测特征,提出了一种新的土地价格指数编制方法。[HTH]研究发现：[HTF][STBZ][WTBZ]以上海为例讨论了分类土地价格指数,研究发现从2008~2015年,上海同质住宅用地价格上升了359.92%,同质工业用地和商服用地价格的涨幅分别为101%和107%。[HTH]研究创新：利用网络爬虫技术收集微观土地交易数据,为指数的编制提供了数据基础。[HTH]研究价值：该方法能够捕捉地块所在的特殊位置对于其价格的影响。     

Do house price developments spillover across euro area countries? Evidence from a global VAR

This paper empirically assesses the prospects for house price spillovers in the euro area, where co-movement in house prices across countries may be particularly relevant given a general trend with monetary union toward increasing linkages in trade, financial markets, and general economic conditions. A global VAR is estimated for three housing demand variables (real house prices, real per capita income, and the cost of borrowing, captured by a real long-term interest rate) on the basis of quarterly data for 7 euro area countries (Belgium, Germany, Ireland, Spain, France, Italy and the Netherlands), which together comprise nearly 90% of euro area GDP, over the period 1971–2009. The results suggest limited house price spillovers in the euro area, albeit with evidence of some overshooting in the first year after the shock, followed by a long run aggregate euro area impact of country-specific changes in real house prices related in part to the country’s economic weight. This contrasts with the impacts of a shock to domestic long-term interest rates, causing a permanent shift in house prices after 2–3 years. Underlying this aggregate development are rather heterogeneous house price spillovers at the country level, with a strong importance for weights – either economic or geographic – in governing their general magnitude. More generally, the impact of financing costs on house prices appears to have grown though time.     

A mixed index approach to identifying hedonic price models

Recent literature suggests identifying house price hedonic regressions by using instrumental variables, spatial statistics, the borders approach, panel data, and other techniques. We present an empirical application of a mixed index model, first proposed by Bowden [Bowden, R.J., 1992. Competitive selection and market data: the mixed-index problem. The Review of Economic Studies 59(3):625–633.] to identify hedonic price regressions. We compare the performance of the mixed index model to a traditional hedonic model and to a hedonic model that includes characteristics of the buyer of each house. We find the mixed index model outperforms the other models based on bootstrap distributions of predicted housing values, prediction variance, and predicted policy effects. The mixed index model distributions are less skewed and kurtotic than the other models, suggesting it more closely satisfies the classical linear regression assumption of normally distributed errors. Compared to the mixed index model, the traditional hedonic overstates the importance of lot size and school quality to house price and understates the importance of environmental quality.