Large scale infrastructure investment and economic performance – a case study of Oresund

We analyse the effect of a large scale infrastructure investment, namely the construction of the Oresund bridge, on the local and supra-regional economy. We employ the synthetic control method to construct counterfactual regions that mimic the trajectory of Malmo and Southern Sweden without treatment. Our results point to a positive effect. However, placebo tests in space and time only reveal statistical significance at a larger regional level. The results suggest that spillover effects are eminent.     

城市科学20年的发展历程--祝贺中国城市科学研究会成立20周年

回顾北京市城市科学研究会的发展历程,分为多学科协同研究城市问题阶段;城市发展多学科综合研究阶段;城市发展综合研究向重点领域开展阶段.概括了北京城科会的主要学术成果.     

浅析流动性过剩背景下的股市泡沫

流动性过剩已成为中国经济发展中的一个热点问题.文章分析了形成流动性过剩的国际和国内两个方面的原因.对于流动性过剩导致了中国股市繁荣的现状,文章提出了防范股市泡沫的措施.     

What Role Taxes and Regulation? A Second Look at Open Market Share Buyback Activity in the UK

This paper re-examines the evidence on open market share repurchase activity reported by Rau and Vermaelen (2002) for the UK. Using data from the Securities Data Corporation (SDC), Rau and Vermaelen conclude that the level of repurchase activity is trivial. They attribute the low repurchase volume to regulatory restrictions that limit companies' ability to take advantage of an undervalued stock price and conclude that the bulk of repurchase activity that does occur is driven by the desire to generate tax credits for pension funds. Using data collected from a variety of sources, we find that the SDC substantially understates UK open market buyback activity. Based on our more comprehensive dataset we conclude that (a) pension funds' tax considerations are not the primary cause of UK share repurchases and (b) despite the prevailing regulatory environment, underpricing still represents an important determinant of repurchase activity.     

How to measure mutual fund performance: economic versus statistical relevance

In the present paper a comprehensive assessment of existing mutual fund performance models is presented. Using a survivor‐bias free database of all US mutual funds, we explore the added value of introducing extra variables such as size, book‐to‐market, momentum and a bond index. In addition to that we evaluate the use of introducing time‐variation in betas and alpha. The search for the most suitable model to measure mutual fund performance will be addressed along two lines. First, we are interested in the statistical significance of adding more factors to the single factor model. Second, we focus on the economic importance of more elaborate model specifications. The added value of the present study lies both in the step‐wise process of identifying relevant factors, and the use of a rich US mutual fund database that was recently released by the Center for Research in Security Prices.     

A conceptual framework of anonymity in Group Support Systems

As the development and use of automated systems for collaborative work grows, the need for a better understanding of these systems becomes more important. Our focus is on one type of system, a Group Support System (GSS) and, in particular, on one important aspect of a GSS—anonymity. A conceptual framework for the study of anonymity in a GSS is presented, which describes the general classes of variables and their relationships. These variables include the factors that influence anonymity in a GSS, types of anonymity, and the effects of anonymity on a message sender, receiver, group process, and outcome. Each of these variables is discussed with working propositions presented for important group process and outcome measures. The objectives of this article are to highlight the importance and complexity of anonymity, to act as a guide for empirical investigations of anonymity, and to influence future GSS development and use.