余额宝收益率与上海银行间同业拆借利率 关系的实证研究

作为互联网理财产品的代表,余额宝收益率与货币市场基准利率密切相关。本文 选取余额宝收益率与市场利率的代表——上海银行间同业拆借利率（Shibor）的数据,采用向 量自回归模型（VAR）对两者的关系进行实证研究,研究结果表明：余额宝收益率与Shibor互 为因果,余额宝以上万亿的基金规模已经能够影响Shibor,当期的余额宝收益率和Shibor主要受 自身前期影响。Shibor的市场基准性仍需进一步加强;余额宝应加强自身经营,充分利用大数 据技术建立风险防范机制,提升风险管理效率;相关部门应重视对余额宝的监管,既要保证监 管的有效性,又要适度监管,为金融创新留下空间,维护金融市场的健康稳定发展。     

中国住宅投资引领经济增长吗?

本文运用1985—2009年中国各省、直辖市、自治区的数据,对住宅投资与经济增长之间的领先—滞后关系进行分析。结果表明,无论是1985—2009年全时段还是以1998年大规模房改为分界线的分时段,无论是全国各省市还是分区域的各省市面板数据,经济增长引领住宅投资的单向Granger因果关系是稳定的;不同于一些研究和政策措施所主张的住宅投资引领经济增长的观点,本文认为找不到证据来支持住宅投资带动经济增长的论点。由此可见,所谓"住宅引领增长假说"在我国并不成立,而我国自上世纪90年代中期以来一直大力促进住宅投资以带动经济增长、把住宅建设当作国民经济的新增长点和支柱产业的政策值得反思。     

中国房地产投资与经济增长的计量分析

近几年,中国房地产市场比较热,不断掀起投资的浪潮,中国的经济随之也较快地增长。但是金融危机席卷全球,对于2009年,中国的房地产投资与经济增长又如何呢？本文立足于现实情况,采集了15年的数据先对房地产投资和GDP进行组合预测,然后运用计量经济的相关知识对这十几年的数据进行定量分析,提出自己的见解,并展望未来。     

产业结构高级化与经济增长关系实证研究——基于全国、广东省及广州市数据的对比分析

本文构造了一种能有效度量产业结构高级化的指标,并运用它对全国、广东省及广州市1978-2009年产业结构高级化与经济增长的关系进行了分析。结果发现,研究期间三个层次的产业结构高级化水平都得到了极大的提高,也表现出了相同的趋势、特征与路径。从全国到东部发达省份再到东部中心城市,经济增长对产业结构高级化都有推动作用,而产业升级对经济增长的促进作用则只出现在中心城市这一层。     

On the test score gap between Roma and non‐Roma students in Hungary and its potential causes

Using unique data from Hungary, the gap in reading and mathematics test scores between Roma and non‐Roma 8th grade students is assessed and a substantial gap between them revealed. Standardized test scores as well as the fraction of students with competences considered inadequate are examined. Regardless of measurement and subject area, the bulk of the gap is explained by social differences in income, wealth and parental education. Using reduced‐form regressions, two major mediating mechanisms are identified: first, on average the home environment of Roma children is less favourable for cognitive development; second, the educational environment of the average Roma student is different from the average non‐Roma student. Comparing students with similar home environments from the same school and class, the ethnic gap in test scores is found to be insignificant. Ethnic differences in the home environment are explained by social disparity, and ethnicity seems to play no additional role in that regard. The unequal distribution of Roma students in schools and classes is found to be explained predominantly by social difference, too, with a significant residual portion, indicating the effect of ethnic segregation.     

Are imports and remittances cointegrated for the Central and Eastern European countries?

In this article, we investigate the existence of long-run common trends between imports and remittances in 11 Central and Eastern European countries which are part of the European Union. Using the Engle–Granger two-step procedure, we determine that for all countries in our sample there are no long-run common trends (no cointegration) between imports and remittances. However, the results are mixed when running a Granger causality test. For nine countries, we can establish either a bidirectional or unidirectional Granger causality, indicating that past values of one variable have predictive content on the other variable. In two countries, there is no Granger causality between imports and remittances.     

国际油价波动对经济增长的影响——基于中国的实证分析

基于1990年1月至2009年3月的月度数据,本文实证分析了我国经济增长与国际石油价格之间的长期变动关系,其特点在于,采用稳健性较强的T-Y因果检验来分析油价与经济增长的Granger因果关系,同时,运用非对称协整技术以考察油价与经济增长之间的非线性关系。研究发现：①长期中油价是我国经济增长的单向Granger原因;②油价与我国经济增长之间存在非对称协整关系,油价上涨对经济活动的负面影响大于油价下跌的积极影响。基于中国经济运行的实际,本文还分析了实证结果背后的原因,并提出当前国际金融危机背景下,油价呈下跌趋势,需抓住有利时机,动用外汇储备,大力购入石油资源,建立起石油战略储备;在经济复苏、油价上涨时,可以启动石油战略储备来减少石油供应冲击,从而有助于及时保证我国经济平稳快速增长的政策建议。     

影响中美贸易的诸因素分析

本文采用2001年1月～2008年12月样本,在双边贸易引力模型的框架下,采用协整分析、向量误差修正模型等计量方法,在汇率和中美两国GDP等影响因素基础上,分析中国垂直专业化对于中国对美出口、中国自美进口和中美贸易差额的影响。研究结果表明,中国垂直专业化程度不断加深促进了中国对美出口、抑制了中国对美进口,加剧了双边贸易的不平衡。     

The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks

This paper examines the interrelationship between stock prices in the US and Korea by applying the vector autoregression (VAR) model to the daily stock prices at three different level of aggregation – the national aggregate index level, the high-tech industry level and the semiconductor firm level – for the period of July 1996 through February 2001. The major findings of this study are as follows. First, the US stock market plays a leading role over the Korean market at every level of aggregation. The reverse direction of influence, from Korea to the US, was found to be minimal. Second, the evidence also suggests that the speed of transmission of innovation from the US to Korea is swift and finished for the most part within a 24-h period, although it takes three or four days to complete the whole process. Third, the influence of the US stock prices on Korean stock prices, which is measured by the innovation transmission using the impulse–response function (IRF) analysis, seems to be somewhat stronger in the composite national stock price indices and the tech-laden indices than high-tech firms. Fourth, at the firm level, the influence of Micron Technology on the leading semiconductor manufacturers in Korea is shown to be strong and persistent by passing about 34 percent of its innovations to the Korean firms within the three-day period. The impact of IBM and Intel on the Korean chip makers seems to be relatively smaller. Finally, stock prices in Korea, national stock price indices and individual high-tech stocks alike, have become much more responsive to innovations in the US stock prices after the 1997 financial crisis. The implications of the main findings in this paper are also discussed.     

Intrinsic bubbles and Granger causality in the S&P 500: Evidence from long-term data

Results of research on whether changes in earnings can predict future stock returns are inconclusive. We add to this debate by using long-term data from 1871 to 2004 to examine the predictive power of changes in earnings in periods of intrinsic bubbles and in periods absent intrinsic bubbles. Our results show that accounting for bubbles is important in whether changes in earnings can predict future stock returns. In periods of no bubble, we find that changes in earnings Granger-cause future returns, whereas in periods of bubble, this Granger causality from changes in earnings to future returns cannot be found. We conclude that changes in earnings can predict future stock returns, but only in periods absent bubbles.