The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.     

公共娱乐场所从业人员生殖健康服务的调查分析--以长沙市为例

本研究探讨计划生育服务网络为公共娱乐场所提供生殖健康服务的干预模式。分析了基线调查数据。娱乐场所从业人员是一个高流动性的年轻群体,生殖保健知识欠缺,对性病艾滋病预防的认识仍有误区;他们的性观念开放,部分从业人员涉及商业性行为,已经成为传播性病艾滋病的高风险桥梁人群。基线调查为进一步开展生殖健康服务找到了干预重点和适宜的工作方式。     

Where We Are with CNY invoicing

CNY trade settlement volumes are increasing, and the pilot programme has been expanded Regulatory complexity is an issue as different localities issue different guidance Hong Kong has moved to allow more local CNY products and will likely become the key offshore CNY centre.     

Seasonal Unit Root Tests with Structural Breaks in Deterministic Seasonality

The seasonal root tests of Hylleberg et al (1990) are extended using the sequential approach of Zivot and Andrews (1992). This paper presents Monte Carlo evidence to support a sequential approach to estimation and critical values are estimated. It is demonstrated that non-stationary data with structurally unstable deterministic seasonality can lead to low power in standard tests for seasonal roots. The sequential tests are applied to US agricultural price data and macroeconomic data and compared with the standard tests. Seasonal roots are rejected in all series.     

Manufacturing Wages are Rising

Manufacturing wages are up by an average 10% this year,our survey suggests Majority of clients see output per worker rising faster than wages;productivity growth is keeping pace More firms are opting for capital investment to boost productivity,as opposed to moving locations Orders situation does not look too bleak;CNY appreciation expectations are alive and kicking     

Joint Leverage and Maturity Choices in Real Estate Firms: The Role of the REIT Status

We explore the interdependence of leverage and debt maturity choices in Real Estate Investment Trusts (REITs) and unregulated listed real estate investment companies in the U.S. for the period 1973-2011. We find that the leverage and maturity choices of all listed real estate firms are interdependent, but in contrast to industrial firms, they are not made simultaneously. Across the different types of real estate firms considered, we find substantial differences in the nature of the relationship between leverage and maturity. Leverage determines maturity in non-REITs, whereas maturity is a determinant of leverage in REITs. We suggest that the observed differences reflect the effects of the REIT regulation, rather than solely being a function of real estate as the underlying asset class. We also present novel evidence that the relationship between leverage and maturity in both firm types can be used to moderate the effects of other exogenous financing policies.     

Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data

This article explores how data envelopment analysis (DEA), along with a smoothed bootstrap method, can be used in applied analysis to obtain more reliable efficiency rankings for farms. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. Two main model specifications, constant and variable returns to scale, are investigated along with various choices regarding data aggregation. The coefficient of separation (CoS), a statistic that indicates the degree of statistical differentiation within the sample, is used to demonstrate the findings. The CoS suggests a substantive dependency of the results on the methodology and assumptions employed. Accordingly, some observations are made on how to conduct DEA in order to get more reliable efficiency rankings, depending on the purpose for which they are to be used. In addition, attention is drawn to the ability of the SLICE MODEL, implemented in GAMS, to enable researchers to overcome the computational burdens of conducting DEA (with bootstrapping).     

THE MEASUREMENT OF CHANGES IN QUALITY

This paper is concerned with the theoretical problems of devising indexes of quality change and with some of the practical problems of constructing such indexes from market data, relating these to the various attempts to construct such indexes in the past. The general conclusion is that, while quality is inherently ordinal, there are three different indexes which might be taken as "measures" of quality change. If changes are sufficiently small, the values of all three indexes will coincide and then, only, can we consider any one of them to be an unambiguous measure of the change.     

Farmers’ Willingness to Pay for a Tuberculosis Cattle Vaccine

We use contingent valuation (CV) and choice experiment (CE) methods to assess cattle farmers’ attitudes to and willingness to pay (WTP) for a bovine tuberculosis (bTB) cattle vaccine, to help inform vaccine development and policy. A survey questionnaire was administered by means of telephone interviews to a stratified sample of 300 cattle farmers in annually bTB‐tested areas in England and Wales. Farmers felt that bTB was a major risk for the cattle industry and that there was a high risk of their cattle getting the disease. The CE estimate produced a mean WTP of £35 per animal per single dose for a vaccine that is 90% effective at reducing the risk of a bTB breakdown and an estimated £55 for such a vaccine backed by 100% insurance of loss if a breakdown should occur. The CV estimate produced a mean WTP of nearly £17 per dose/per animal/per year for a vaccine (including 100% insurance) which, given the average lifespan of cattle, is comparable to the CE estimate. These WTP estimates are substantially higher than the expected cost of a vaccine which suggests that farmers in high risk bTB ‘hotspot’ areas perceive a substantial net benefit from buying the vaccine.