十月份CPI涨幅回落明显

本刊讯国家统计局今天发布的统计数据显示。10月份全国居民消费价格总水平（CPI）同比上涨5．5％，涨幅比上月回落0．6个百分点。据国家统计局测算，在10月份CPI同比涨幅中．去年价格上涨的翘尾因素为近1．5个百分点．今年新涨价因素约为4．04个百分点：     

年度总薪酬涨幅略高于CPI涨幅

2007年下半年年度总薪酬（年度税前现金收入总额平均值）比去年同期高出6．75％，薪酬涨幅略高于CPI上涨水平（4．8％）。从薪酬结构来看，涨幅最突出的是“浮动薪酬”，而“补贴收入”反而有较大降幅。     

大连房价走势：涨幅走向趋缓

大连房价未来走势：是涨？是跌？有人说上涨．有人说下跌。应当说当前房价涨的因素客观存在，房价跌的因素也客观存在．今后哪些因素会此消彼长．是市场的实际运作过程中博弈的结果．也是开发商．购房．地方政府相互博弈的结果，事先是难以预测的。笔依据房地产有关数据和楼市运行的一般规律以及新政作用力的影响，对大连房价走势作一分析。[第一段]     

房价涨幅预测的负面性

这几年，每到岁末年初，不少中介咨询机构总要对新一年房价的涨势说点什么，并预测新一年房价的涨幅有多少，就像国家有关宏观经济部门预测当年中国经济增长幅度一样。从事房地产经济工作的部门、机构和企业对市场走势作点评论、预测未来，这本无可厚非。但是，当房地产价格已经成为一个很敏感的社会问题时，     

CPI与GDP相关性探讨

在目前情况下,CPI涨幅与GDP增幅正在进行一轮又一轮的波动。本文作者通过分析CPI运行特点,以及CPI涨幅和GDP增幅两者的变化关系,来重点分析CPI的构成,引起价格改革的系列因素、供求关系以及增长动力的变化,政府宏观调控水平等等。     

广州新房均价涨幅达到今年以来最高

8月7日，广州市国土房管局发布《2006年7月广州市房地产市场分析》。《分析》显示，7月份广州全市一手房均价上涨468元／平方米，为全年涨幅最大的一个月。其中，各区一手房均价出现冰火两重天：越秀区为10950元/平方米，升1760元／平方米：荔湾区为5734元／平方米，跌2233元／平方米。专家认为，未来广州房价总的趋势还是上涨，但希望控制在一定范围内。     

上半年工资涨幅没超过16.7%的人,是不是可以骂娘了?

北京上半年房价涨幅居首,别忘了新国五条北京细则明确提出,房价上涨不得超过居民收入涨幅。大伙上半年工资涨了多少?没有超过16.7%的人是不是可以骂娘了?最近有三则楼市新闻值得一读:第一则是关于上半年楼市的总结数据,上半年,全国70余城市中仅温州同比下降,当然其他的都是上涨,其中北京的涨幅最高,达到了惊人的16.7%,当然面对这则新闻,大部分官     

数字

6.4%国家统计局发布报告,6月份全国居民消费价格总水平（CPI）同比上涨6.4%,涨幅再创新高。6月份6.4%的CPI同比涨幅中,去年价格上涨的翘尾因素约为3.7个百分点,     

数字

国家统计局10月14日发布的报告显示,9月份全国居民消费价格总水平（CPI）同比上涨6．1％,涨幅已连续两个月小幅回落。我国CPI同比涨幅自今年7月份达到6．5％的约三年来峰值之后,开始连续小幅回落。     

2007年的十个为什么

根据国家统计局的报告，2007年儿月份居民消费价格指数（CPI）创了10年来的纪录。其中单食品一项就让CPI涨了6％，换句话说，CPI的九成涨幅由食品贡献。     

Monetary policy,housing rents,and inflation dynamics

In this paper we study the effect of monetary policy shocks on housing rents. Our main finding is that, in contrast to house prices, housing rents increase in response to contractionary monetary policy shocks. We also find that, after a contractionary monetary policy shock, rental vacancies and the homeownership rate decline. This combination of results suggests that monetary policy may affect housing tenure decisions (own versus rent). In addition, we show that, with the exception of the shelter component, all other main components of the consumer price index (CPI) either decline in response to a contractionary monetary policy shock or are not responsive. These findings motivated us to study the statistical properties of alternative measures of inflation that exclude the shelter component. We find that measures of inflation that exclude shelter have most of the statistical properties of the widely used measures of inflation, such as the CPI and the price index for personal consumption expenditures, but have higher standard deviations and react more to monetary policy shocks. Finally, we show that the response of housing rents accounts for a large proportion of the “price puzzle” found in the literature.     

How can big data enhance the timeliness of official statistics?: The case of the U.S. consumer price index

The daily consumer price index (CPI) produced by the Billion Prices Project (BPP CPI) offers a glimpse of the direction taken by consumer price inflation in real time. This is in contrast to the official U.S. CPI, which is compiled monthly and released with an average of a three-week delay following the end of the reference month. A recent body of research contended that the movements of online prices are representative of those of offline retail prices, making the BPP CPI a natural candidate for accurately improving the timeliness of the official CPI. We assess the predictive content of the BPP CPI using a variety of MIDAS models that accommodate data sampled at different frequencies. These models generate estimates that remain robust to the variety of time periods considered and, by the standard of the existing literature, contribute to a significant upgrade in the forecast accuracy of official consumer price inflation figures. The paper then sketches the broad implications of BPP CPI for the consumer price statistics maintained by national statistics offices and discusses how the proposed improvement in the timeliness of the official CPI fits in this perspective.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008-9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price-growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008‐9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price‐growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

Capitalization of local fiscal differentials: Inferences from a disequilibrium market model

This study analyzes tax capitalization within the framework of a disequilibrium market model. In particular, this study examines whether local fiscal differentials influence the rate of change in neighborhood house prices over time. Local fiscal differentials existing in 1970 are found to have no influence on the rate of change in neighborhood house prices over the period 1970–1972; therefore, the study concludes that, other things being equal, these local fiscal differentials have been completely capitalized in price levels.     

The spatial and temporal diffusion of house prices in the UK

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect. Shocks to a dominant region - London - are propagated contemporaneously and spatially to other regions. They in turn impact on other regions with a delay. We allow for lagged effects to echo back to the dominant region. London in turn is influenced by international developments through its link to New York and other financial centers. It is shown that New York house prices have a direct effect on London house prices. We analyse the effect of shocks using generalised spatio-temporal impulse responses. These highlight the diffusion of shocks both over time (as with the conventional impulse responses) and over space.     

Determinants of house prices in Istanbul: a quantile regression approach

This paper uses quantile regression methods where a hedonic equation is estimated for each quantile of the conditional distribution of housing prices. The survey data are used to investigate the relationship between house prices and housing characteristics in Istanbul. This data set includes some housing characteristics of the dwellings like numbers of room, bathroom, heating system, location of house etc. In the results of this paper show some similarities and differences from earlier studies on housing prices. We find that age, cable tv, security, heating system, garage, kitchen area, increasing numbers of room and bathroom increase the house prices. Our findings also show that side variable which is a special factor for Istanbul real estate market has negative effect on the prices. It is clear that the factors of housing prices can change because of the properties of country, region or city. The results of this study may give some important interpretations for developing real estate market.     

论民营家族企业持续成长的文化供给

我国民营企业当中的绝大多数选择了家族制的治理模式,长期"家"文化历史继承下的文化供给,使民营家族企业形成了特有的企业文化特征。"家"文化供给对民营家族企业发展的特殊历史阶段起到了积极的推动作用,但当民营家族企业的发展达到一定层次,必须淡化家族制的治理模式,用现代企业的"人本"文化供给去取代"家"文化供给,保持民营家族企业的持续成长。     

“小产权房”供地市场的制度成因研究——基于博弈论视阈

研究目的：分析土地市场制度安排的非均衡问题,揭示“小产权房”供地市场的制度成因。研究方法：文献资料法、博弈模型分析法。研究结果：1．在我国社会转型的宏观环境下,“小产权房”供地市场是现有土地制度安排非均衡的结果;2．土地商品价值的认知给农村集体土地带来了潜在的获利机会,产生了土地制度变迁的强烈需求。研究结论：由于国家对土地市场制度改革的滞后,导致农村集体经济组织容易进行诱致性制度安排,从而形成了“小产权房”供地市场。     

CPI revision provides more accuracy in the medical care services component.

This revision, as in the past, enabled the Bureau to update medical care service expenditure weights in the CPI, including a more complete allocation of health insurance premiums. Instead of keeping the portion of premiums that go to benefits under health insurance, the expenditure weight for each benefit category has been added to the appropriate out-of-pocket expense. The unpublished health insurance item represents only the retained earnings portion of premiums paid by households. The specific item categories included in medical care services have also been updated and expanded. A study conducted during the developmental phase of the revision indicated that the Bureau should expand the eligible priced rates for physicians in the CPI to include not only the "self-pay" rate, but also other categories of payment as well. Another study indicated that the direct pricing of health insurance is not feasible because of the difficulty of factoring out from premium changes the effect of utilization levels and modified coverage. In pricing medical care service items, as with other item categories in the CPI, BLS attempts to exclude from price movement the effect of quality changes. However, some quality changes are difficult to assess or are not readily identified, for example, a change in the ratio of nurses to patients, and such changes may be reflected as part of the price change movement in the CPI.