浅谈我国的公务员考试录用制度

完善的公务员考试录用制度是政府部门选拔优秀人才进入公务员队伍,提升公务员队伍整体素质的重要保障。对现行公务员考试录用制度的完善和创新在当前形势下就显得尤为重要和迫切,而发达国家公务员改革的成功经验正为探索我国公务员考录制度改革的新趋势提供了一定的借鉴意义。     

李彦宏：别拿Google说事

2010年3月23日凌晨3点，Google宣布正式关闭中国内地网站Google．cn，同时将其用户重新定向至Google香港网站。6小时后，百度董事长兼首席执行官李彦宏就在百度贴吧中发贴：“大家说，百度是不是要进军香港市场？”仅仅2天，这条充满“挑衅”意味的贴子就得到几近1万层“楼”的同复。     

Superstitious seasonality in precious metals markets? Evidence from GARCH models with time-varying skewness and kurtosis

In this article, we analyse whether the Friday the 13th effect documented by Kolb and Rodriguez (1987) can be observed in precious metals markets. Specifically, we use dummy-augmented GARCH models to investigate the impact of this specific calendar day on the conditional means of gold, silver, palladium and platinum returns. The specification of the GARCH model follows a flexible class recently proposed by León et al. (2005) that incorporates time-varying skewness and kurtosis by applying a Gram–Charlier series expansion of the normal density function. Our results for the period from July 1996 to August 2013 provide three important insights. First, there is no evidence that human superstition regarding bad luck Fridays affects precious metals markets in a negative way, i.e. returns on Fridays the 13th are not significantly lower than on regular Fridays. Second, besides showing robustness in a variety of settings, we can confirm this main result in a sensitivity check, where we replace the dummy variables by a new measure of investor attention, recently promoted by Da et al. (2011), that is based on Google search volumes. Third, as an important by-product of our study, we can show that there is significant evidence of time-varying skewness and kurtosis in precious metals returns.     

谷歌高级学术搜索的应用探究

本文分析研究了谷歌学术搜索的搜索特性,尤其是其高级学术搜索的使用特性,并给出了应用实例。     

THE “WHITE SPACE” OF LOGISTICS RESEARCH: A LOOK AT THE ROLE OF METHODS USAGE

This paper examines the use of various research methods by contemporary researchers. The previous six years of articles in a leading logistics journal are examined and classified. The analysis seeks to identify and discuss changes and trends that are occurring in the use of such methods, as well as considering why the current conditions are in place, and what, if any, opportunities exist for logistics researchers given this situation.     

基于GoogleEarth的景区电子解说沙盘库构建

摘要：文章集图像、音频、视频和文字等信息为一体来构建景区电子解说沙盘库,为游客提供直观、形象、快捷的一体化解说服务,给游客带来更好的旅游体验。同时,沙盘库可为游客提供丰富的景区文史资料,获取游客的反馈意见,对提升景区的服务质量和管理水平具有重要的现实意义。     

Nowcasting in real time using popularity priors

We construct a “Google Recession Index” (GRI) using Google Trends data on internet search popularity, which tracks the public’s attention to recession-related keywords in real time. We then compare nowcasts made with and without this index using both a standard dynamic factor model and a Bayesian approach with alternative prior setups. Our results indicate that using the Bayesian model with GRI-based “popularity priors,” we could identify the 2008Q3 turning point in real time, without sacrificing the accuracy of the nowcasts over the rest of the sample periods.     

Immigration,uncertainty and macroeconomic dynamics

This paper examines the macroeconomic effects of rising migration uncertainty in four advanced economies (i.e. US, UK, Germany and France). Migration uncertainty is first captured by the Migration Policy Uncertainty (MPUI) and the Migration Fear (MFI) news-based indexes developed by Baker et al. (Immigration fears and policy uncertainty, 2015), and then by a novel Google Trend Migration Uncertainty Index (GTMU) based on the frequency of Internet searches for the term ‘immigration’. VAR investigations suggest that the macroeconomic implications of rising migration uncertainty differ across countries. Moreover, news-based and Google search-based migration fear shocks generate different macroeconomic effects. For instance, in the US (France), MPUI, MFI and GTMU shocks all improve (undermine) production and labour market conditions in the medium run. For Germany and the UK, mixed evidence is found, suggesting that increasing media attention on migration phenomena and rising population's interest in migration-related issues influence people's mood differently. The observed heterogeneity in the macroeconomic effects of rising migration uncertainty can be explained by cross-country gaps in (a) the level of labour market rigidity, (b) the degree of people's happiness and life satisfaction and (c) the percentage of graduates.     

Efficient scholars: academic attention and the disappearance of anomalies

This study examines the dynamics of ten most notable stock market anomalies through 1926–2018 and assesses the joint impact of academic attention, post-publication decay, data-snooping bias, institutional trading, and time trend on their disappearance. It proposes new and simple measures of academic attention attracted by stock market anomalies using the number of articles published on the relevant topic available via Google Scholar or respective citation counts. The study finds that academic attention is the most dominant factor explaining the diminishing abnormal returns of anomaly-exploiting strategies. The approach developed by this study can also be useful in determining whether a stock return regularity is a behavioural anomaly or a systematic risk factor.     

Retail investor attention and herding behavior

In this paper, we argue that when individual investors can obtain information from public resources such as Google search, the degree of investor attention to a particular underlying company is positively linked with herding behavior for retail investors. Empirical results confirm that Google Search Volume Index can be a proxy for the information demand of uninformed individual investors. Empirical evidence also shows that reaching the price limit generates an attention-grabbing effect. Further, in general, small cap firms generate more intensive individual investor herding. In addition, we explore the asymmetric impact of abnormal search volume index on individual investor herding behavior for bull and bear markets, and confirm that the individual investor buy herding phenomenon is stronger in bull markets, especially for small capitalization firms. In bear markets, with greater price deterioration for large cap firms, we detect herding behavior on the sell side.