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。     

School Quality and Real House Prices: Inter- and Intrametropolitan Effects

This study focuses on explaining variations in real constant-quality house prices in jurisdictions located in multiple MSAs. Using a hedonic house price framework, we test competing theories of house price determination. Using two variants of the random coefficients model, we find that public school quality has a very large impact on real constant-quality house prices. Our results suggest that capitalization of school quality differences occurs on a per lot basis rather than per square foot of land. Also important to the explanation of variations in house prices are variables derived from urban theory, such as distance to the CBD, and from the amenity literature, such as a community's crime rate, arts, and recreational opportunities     

Autoverkopen en autopark in Nederland, 1950–1970

Summary This is a study of the demand for the ownership of new or firsthand cars, i.e. the demand of ‘first owners’ who habitually buy new cars which are then traded in long before they are obsolescent. Upon combining the evidence of various surveys with time-series for 1950-64 it is found that this ownership has an income elasticity of 2 and a price elasticity of – 1.25 in respect of the constant-quality index of new car prices earlier provided. On the average new cars are traded in after three years so that roughly one third of the existing stock is replaced every year. These values together determine an equation for purchases of new cars which accurately predicts new registrations in 1965 and 1966. Projections for the years 1967-70 are provided. In the model employed the total number of cars (including used cars) is determined by the active demand exerted by ‘first owners’ on one hand and by the hitherto fairly constant scrappage rates on the other. Projections of the overall ownership rate can therefore be derived from the forecasts of new registrations. The ownership rate will approach 80% around 1970, and it is likely that at that stage the current scrappage rates will cease to apply in view of the greater predilection for comparatively younger cars.     

Autoverkopen en autopark in Nederland, 1950–1970

Summary  This is a study of the demand for the ownership of new or firsthand cars, i.e. the demand of 'first owners' who habitually buy new cars which are then traded in long before they are obsolescent. Upon combining the evidence of various surveys with time-series for 1950-64 it is found that this ownership has an income elasticity of 2 and a price elasticity of – 1.25 in respect of the constant-quality index of new car prices earlier provided. On the average new cars are traded in after three years so that roughly one third of the existing stock is replaced every year. These values together determine an equation for purchases of new cars which accurately predicts new registrations in 1965 and 1966. Projections for the years 1967-70 are provided.
In the model employed the total number of cars (including used cars) is determined by the active demand exerted by 'first owners' on one hand and by the hitherto fairly constant scrappage rates on the other. Projections of the overall ownership rate can therefore be derived from the forecasts of new registrations. The ownership rate will approach 80% around 1970, and it is likely that at that stage the current scrappage rates will cease to apply in view of the greater predilection for comparatively younger cars.     

The Amsterdam rent index: The housing market and the economy, 1550–1850

The paper investigates the long run historic development of the Amsterdam rental housing market (1550–1850). Using rent data on a large cross section of residential properties in Amsterdam we are able to develop an annual constant-quality rent index for the entire time period. Whereas nominal rents nearly tripled over the considered sample period, average Amsterdam house rents, in real terms, had approximately the same level in 1850 as they exhibited in 1550. Otherwise stated, nominal rents and goods prices rose at the same pace. Over these 301 years, the real index moves between a minimum level of 45.6 and a maximum of 162.4. As concerns the relation between the housing market and the real economy, we find empirical evidence that fluctuations in rents and fluctuations in proxies of business cycle activity comove, both in nominal and in real terms.     

A censored system of demand analysis to unpacked and prepackaged milk consumption in Turkey

The market driven and globally integrated economy since 1980 in Turkey has boosted milk demand like any other foods. We estimate the impacts of factors affecting households unpacked and prepackaged fluid milk demand in Turkey using a bivariate censored system of demand model. The correlation coefficient from bivariate censored model between these two products indicates that unobservable factors influencing the unpacked fluid milk would likely and significantly lower the consumption of the packed fluid milk for a household. The model also reveals that non-economic demographic factors play crucial roles in determining the quantity demanded of both products, especially the unpacked fluid milk. Both products are substitute one for another and both products are price elastic, suggesting that, for example, more than a change observed in the unpacked milk price would occur in the demand for the unpacked fluid milk with an increase or decrease in the unpacked fluid milk commodity prices. Interestingly, the unpacked fluid milk is an inferior good, while the prepackaged fluid milk is an normal good, indicating that the demand for the packed fluid milk increases with the increased in household income. Milk industries can generate additional revenues by decreasing both product prices.     

Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle

Standard housing price indexes rely on strong constant-quality assumptions and often conflict. Hedonic price indexes overcome limitations of median price and repeat-sales indexes but their implementation has been limited by a lack of data. This paper constructs hedonic indexes at the zip code level for the Los Angeles and San Diego metropolitan areas using considerably more detailed data than previously available. Our sample was collected by a mortgage technology firm, and consists of almost 1.1 million transactions during the boom-bust cycle since 2000. Our hedonic regressions include new spatial models that capture correlations within submarkets (using zip codes as proxies) and allow temporal asymmetry. Compared to a repeat-sales price index constructed from the same data, the hedonic indexes indicate that the market peaked about 11 months later in Los Angeles and about 2 months earlier in San Diego, show less pre-peak appreciation and post-peak depreciation in low-tier housing and more pre-peak appreciation in high-tier housing. We also find that the intensity of the cycle varies greatly across zip codes and price-tiers in a pattern consistent with foreclosure activity.     

基于GM(1,1)模型的市场碳交易价格预测——以北京、广东、湖北为例

社会各界对大气环境问题高度重视,使得国家和企业的低碳绿色环保意识不断增强,而碳交易价格属于国内新兴碳市场中的一项关键性因素,故论文利用GM(1,1)模型,选取北京、广东、湖北三个市场2015-2019年的年平均碳交易价格为研究对象进行短期预测。研究发现:GM(1,1)模型可较好地预测碳交易价格,拟合结果有较高的精度;未来三年,广东、湖北的碳价呈稳步性增长,北京的碳价每年均保持约20%的增长趋势,且2020-2022年的碳交易价格预测具有一定的可信度。     

Slow but stable(ish) house price growth lies ahead

• ? UK house price growth is running out of steam. And with household incomes squeezed and the affordability of housing stretched, we think a prolonged period of very modest growth lies ahead. But the prospect of a crash is remote.
• ? At 2.6% in Q2 2017, annual house price growth is presently running at a four‐year low. This is a step change down from the recent peak of nearly 10% in mid‐2014 and average growth of 4% over the current economic expansion.
• ? Three developments are likely to lie behind this slowdown. The first is weak growth in households' real income, cutting the ability to save for a deposit or finance a move up the housing ladder. That said, past periods of sluggish income growth have not always been associated with low house price inflation.
• ? The second is the consequence of recent tax hikes imposed on buy‐to‐let investors and second‐home owners, which theory suggests should be capitalised in lower property prices.
• ? The third and perhaps most important reason is the increasing unaffordability of housing to an ever‐widening sub‐set of the population. The ratio of house prices to earnings is almost back at its pre‐crisis record. And the income of the average mortgage borrower is close to £60,000, more than double the average annual wage.
• ? This third factor has implications beyond price growth, suggesting both a permanently lower level of transactions and a further decline in the number of households with mortgages, continuing a trend which began at the beginning of the century.
• ? But set against these headwinds is the cushion provided by record lows for both mortgage rates and mortgage affordability. Overall, house prices are caught between a lack of traditional drivers of accelerating growth, but equally an absence of forces which have typically caused prices to fall. Hence, our expectation of a period of sluggish, but relatively stable, growth.

     

中国医疗卫生事业效益分析之系列研究——1990～2009年中国卫生事业效益分析

1990-2009年中国卫生事业发展迅速,卫生人员年均增长1.26%,高中级卫生技术人数年均增长4.1%,床位数年均增长2.19%,卫生总费用年均增长17.95%,诊疗人次年均增长1.7%,医师人均年业务收入年均增长15.89%,平均住院日年缩短0.28日,病床使用率提高4个百分点。但整体卫生事业分布、配置、发展不均衡,资源集中在医院,应加大对卫生院、门诊部、社区服务中心、村卫生室等机构的投入力度。     

Forecasting bulk prices of Bordeaux wines using leading indicators

Agricultural price forecasting has been being abandoned progressively by researchers ever since the development of large-scale agricultural futures markets. However, as with many other agricultural goods, there is no futures market for wine. This paper draws on the agricultural prices forecasting literature to develop a forecasting model for bulk wine prices. The price data include annual and monthly series for various wine types that are produced in the Bordeaux region. The predictors include several leading economic indicators of supply and demand shifts. The stock levels and quantities produced are found to have the highest predictive power. The preferred annual and monthly forecasting models outperform naive random walk forecasts by 27.1% and 3.4% respectively; their mean absolute percentage errors are 2.7% and 3.4% respectively. A simple trading strategy based on monthly forecasts is estimated to increase profits by 3.3% relative to a blind strategy that consists of always selling at the spot price.     

The implications of inflation in an estimated new Keynesian model

This paper studies the steady state and dynamic consequences of inflation in an estimated dynamic stochastic general equilibrium model of the U.S. economy. It is found that 10 percentage points of inflation entail a steady state welfare cost as high as 13% of annual consumption. This large cost is mainly driven by staggered price contracts and price indexation. The transition from high to low inflation inflicts a welfare loss equivalent to 0.53% of annual consumption. The role of nominal/real frictions as well as that of parameter uncertainty is also addressed.     

A dymimic model of housing price determination

This paper presents and estimates a model of the resale housing market. The data are a cross-section of monthly time series obtained from the multiple-listing service for a suburb of San Diego. The model is specified and estimated as a dynamic multiple indicator multiple cause system of equations where the capitalization rate is taken to be an unobservable time series to be estimated jointly with the unknown parameters. These are estimated by maximum likelihood using an EM algorithm based upon Kalman filtering and smoothing.The specification of the model features hedonic equations for each house sale and a dynamic equation for the capitalization rate which is constrained to make the expectation of prices equal the present value of the net returns to home ownership whenever the economic variables stabilize at steady state values. Out of steady state, the capitalization rate slowly adapts to new information.The model attributes a large portion of housing price increases of the 1970's to a fall in the capitalization rate which in turn was driven by rental inflation, tax rates and mortgage rates. Post-sample simulations indicate an initial flattening of housing inflation rates and later a fall brought on by the increase in steady state capitalization rates. In-sample simulations show that although both Proposition 13 and the inflation induced rise in the marginal income tax rates provided partial explanations for the fall in capitalization rates, the single most important factor was the acceleration in price of housing services which interacted with the tax treatment of home ownership to produce an amazing 18% average annual rate of price increase over the last seven years of the 1970's.     

试建立楼价调控公式——投资置业系数CIP=(0,4]的发现

近三年来中国楼市为什么飙升?年均近10%的GDP增长率同楼价间存在什么关系?楼价同恩格尔系数和基尼系数相关吗?现在的楼市价位合理吗?政府应如何调控楼价呢?未来楼价趋势能预测吗?……投资置业系数的发现和楼价调控公式的建立破解了这些令政府、专家、老百姓百思不得其解的疑问。房地产除成本价外,更重要的是购买力牵引而成的与工资挂靠的均价,因而楼价调控公式是指房地产均价等于投资置业系数乘以全社会居民月均工资。这个公式揭示了房地产均价与居民月均收入二者间比例关系,称这个比例函数为投资置业系数。在中国现行经济状况和政策条件下,投资置业系数最大为4,最小自然不得低于0。有了这组常数范围,政府就可对楼价作出实时数量化调控,老百姓就能时刻把握楼价市场趋势。     

中国医疗卫生事业效益分析之系列研究——2000～2010年上海市医疗卫生机构效益分析

目的:研究中国最大城市之一的上海市医疗卫生行业投入与产出效益情况并找出影响因素并提出对策。方法:收集2000年-2010年相关数据,采用平均增长量、平均发展速度、平均增长速度计算出投入、产出指标值。结果:11年间上海市医疗卫生机构规模缩小。人员和病床规模扩大,但速度不及人口发展速度快,诊疗人数年均增长9.3%,医生人均每日担负诊疗人次年均增长速度达6.63%。人均住院费用年均增长6.04%,其中药费年均7.32%。结论:加大投入人力物力,合理医药改革,建立健全三级医疗体系,健全医疗保障制度,完善社会保障体系,保证医疗行业的公益性,充分发挥其社会职能。     

谈对定量包装商品计量检验管理的措施

定量包装商品以其精美的包装，方便与快捷的储存、运输、销售方式，日益受到人们的青睐。而商品量是定量包装商品优劣最直接的外在表现，它直接影响着广大消费者的切身利益，甚至影响着国家和社会形象。因此，各计量检定机构和计量行政部门运用法律的手段，切实解决定量包装商品的计量问题是其重要的职责、     

中国医疗卫生事业效益分析之系列研究——2005-2009年全国传染病医院效益分析

目的:中国是肝炎大国,研究全国传染病医院投入与产出效益分析并找出影响因素并提出对策。方法:收集2005年-2009年统计数据,采用平均增长量、平均发展速度、平均增长速度计算出投入、产出指标值。结果:职工人数(包括医生数)、医疗仪器设备、房屋建筑面积(包括业务用房面积)等投入指标保持年均正增长速度。诊疗人次数、入院人数、病床工作日、病床周转次数等社会效益产出指标保持年均正增长速度,病床使用率提高16.4个百分点,出院者平均住院日每年缩短0.55日。净资产经济效益产出指标年均增长速度达32.47%,病毒性肝炎出院者人均医药费用年增长速度4.6%。结论:全国传染病医院属于朝阳事业,但应加大传染病预防的宣传力度,加强卫生管理,从源头消除传染源。加快完善新型农村合作医疗、城镇居民和职工医疗保险。     

Do demand curves for stocks slope down?: Evidence from aggregate data

We examine whether the aggregate demand curve for stocks is downward sloping. As a proxy for aggregate demand, we use net outflows (dividends plus repurchases less net issues) from the stock market scaled by the previous year's market capitalization. To disentangle the information and price pressure effects from the demand curve effects, we use an information-free demographic variable as an instrument and look at the relation between annual changes in aggregate demand and excess market return. We find that information-free changes in the annual aggregate demand for stocks do not lead to changes in the annual excess market return. This finding supports long-term horizontal demand curves for stocks.     

城市住宅价格影响因素分析——以长沙市为例

运用SPSS13.0软件,以GDP、市区人口、市区居民人均可支配收入、住宅投资完成额、住宅施工面积、住宅竣工面积、销售面积为自变量,采用1999-2008年10年数据,建立线性模型,对长沙市住宅价格这一因变量进行模拟分析。结果表明影响长沙市住宅价格的主要因素是GDP、住宅施工面积和人均可支配收入。最后对长沙市住宅价格的合理发展提出了相应对策。     

Valuation ratios and long‐horizon stock price predictability

Using annual data for 1872–1997, this paper re‐examines the predictability of real stock prices based on price–dividend and price–earnings ratios. In line with the extant literature, we find significant evidence of increased long‐horizon predictability; that is, the hypothesis that the current value of a valuation ratio is uncorrelated with future stock price changes cannot be rejected at short horizons but can be rejected at longer horizons based on bootstrapped critical values constructed from linear representations of the data. While increased statistical power at long horizons in finite samples provides a possible explanation for the pattern of predictability in the data, we find via Monte Carlo simulations that the power to detect predictability in finite samples does not increase at long horizons in a linear framework. An alternative explanation for the pattern of predictability in the data is nonlinearities in the underlying data‐generating process. We consider exponential smooth‐transition autoregressive models of the price–dividend and price–earnings ratios and their ability to explain the pattern of stock price predictability in the data. Copyright © 2005 John Wiley & Sons, Ltd.