Influence analysis for Poisson inverse Gaussian regression models based on the EM algorithm

For Poisson inverse Gaussian regression models, it is very complicated to obtain the influence measures based on the traditional method, because the associated likelihood function involves intractable expressions, such as the modified Bessel function. In this paper, the EM algorithm is employed as a basis to derive diagnostic measures for the models by treating them as a mixed Poisson regression with the weights from the inverse Gaussian distributions. Several diagnostic measures are obtained in both case-deletion model and local influence analysis, based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. Two numerical examples are given to illustrate the results.     

网络财务软件功能与企业财务会计

网上理财服务以整合实现企业电子商务为目标提供互联网环境下财务管理模式、财务工作方式及其各项功能的财务管理软件系统、网络财务软件的各项功能都对企业财务会计产生深远影响。     

Anomalies in finance: What are they and what are they good for?

In the natural sciences, anomalies contribute significantly to the development of new and ultimately more successful theories. The role of anomalies in financial economics, however, has been quite different. Although at the beginning, the word was used to show deviations from the Efficient Markets Hypothesis (EMH)/Capital Asset Pricing Model (CAPM) paradigm, lately, it has been applied to a new literature that is also more accurately called Behavioral Finance (BF). This paper argues that this misuse and misapplication of the word anomaly is not a simple coincidence. It is rather a sophisticated and accordant effort to imply that although there are some unresolved deviations from the norm, the reigning paradigm is irreplaceable, and its validity needs no empirical proof. In fact, an alternative paradigm such as BF is not only insignificant but also unnecessary and even impossible.     

鲶鱼效应与机制缺欠：村镇银行发展问题探析

村镇银行作为新生力量,对于改变农村金融供求状态具有鲶鱼效应。但其作用的充分发挥,还需要配套建设一系列机制和制度作为保障。     

Efficient local IV estimation of an empirical auction model

In this paper we examine semiparametric efficiency bounds and efficient estimators for the case of a linear local instrument variable (LIV) model under the assumptions studied in Abadie et al. (2002). We apply the semiparametrically efficient estimation method to analyze the relation between bid dispersion and early bidding in an online auction dataset, which is collected from a natural experiment conducted in Nekipelov (2007). The results confirm the theoretical findings developed in Nekipelov (2007). The semiparametric efficient estimation procedure substantially improves the statistical significance of the effect of jump bidding on bid dispersion.