Nonlinear IV unit root tests in panels with cross-sectional dependency

We propose a unit root test for panels with cross-sectional dependency. We allow general dependency structure among the innovations that generate data for each of the cross-sectional units. Each unit may have different sample size, and therefore unbalanced panels are also permitted in our framework. Yet, the test is asymptotically normal, and does not require any tabulation of the critical values. Our test is based on nonlinear IV estimation of the usual augmented Dickey–Fuller type regression for each cross-sectional unit, using as instruments nonlinear transformations of the lagged levels. The actual test statistic is simply defined as a standardized sum of individual IV t-ratios. We show in the paper that such a standardized sum of individual IV t-ratios has limit normal distribution as long as the panels have large individual time series observations and are asymptotically balanced in a very weak sense. We may have the number of cross-sectional units arbitrarily small or large. In particular, the usual sequential asymptotics, upon which most of the available asymptotic theories for panel unit root models heavily rely, are not required. Finite sample performance of our test is examined via a set of simulations, and compared with those of other commonly used panel unit root tests. Our test generally performs better than the existing tests in terms of both finite sample sizes and powers. We apply our nonlinear IV method to test for the purchasing power parity hypothesis in panels.     

Optimal mechanisms for siting noxious facilities

We study Bayesian mechanism design in the context of the siting of noxious facilities. Under incomplete information, we characterize optimal mechanisms facilitating the siting and cost sharing of the facility. These mechanisms are allocatively and Pareto efficient. However, it appears that transfers occur when the good is not provided. This result is due to the weakening of the incentive notion to Bayesian–Nash equilibrium and to the balanced budget condition. This phenomenon disappears if the setting is perfectly symmetric.      

Estimation methods for stochastic volatility models: a survey

Abstract.  Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has been limited mainly due to difficulties involved in their estimation. The main problem is that the likelihood function is hard to evaluate. However, recently, several new estimation methods have been introduced and the literature on SV models has grown substantially. In this article, we review this literature. We describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view. We complete the survey with an application of the most important procedures to the S&P 500 stock price index.     

食品供应链安全问题的信号博弈模型

基于食品供应链上安全信息不对称的特点以及零售企业运营状况,针对滥用食品安全标签(如无公害、绿色、有机食品标签等)的现象,以食品生产商和消费者作为博弈方,建立信号博弈模型,分析信号博弈的三种贝叶斯均衡及其条件,得出了信息不对称情况下安全食品生产商的损失函数,以及政府控制食品安全的策略。     

具缺货期不同决策支配权的两级供应链合作机制研究

从考虑市场需求固定且卖方和买方对缺货期的不同决策支配权情况,研究了两级供应链的合作机制,建立了其不完全信息的动态博弈模型,并得出其精炼贝叶斯纳什均衡,从理论上证明了卖方和买方分别占支配地位和从属地位时买方卖方应相互合作。     

审慎看待“幸福指数”

近两年来，在我国的媒体和各级官员的话语中，频频出现“幸福指数”或类似的表达。其实，作为舶来品的“幸福指数”，相当程度上正被众多的媒体和官员误读。“幸福指数”不可能替代GDP。为了避免“幸福指数”的运用走向异化、陷入贻笑大方的窘境，我们必须审慎看待“幸福指数”。     

Measuring abnormal daily trading volume for samples of NYSE/ASE and NASDAQ securities using parametric and nonparametric test statistics

We extend prior research on the empirical properties of daily trading volume and methods to detect abnormal trading volume in two ways. We compare the performance of a nonparametric test statistic with the parametric test statistic used in prior research and we study samples of NASDAQ securities as well as samples of NYSE/ASE securities. Prior research has focused exclusively on NYSE securities. We find the nonparametric test statistic is more powerful in detecting abnormal trading volume than the parametric test statistic in both samples of NYSE/ASE and NASDAQ securities. We also document that abnormal trading volume will be detected more often in samples of NYSE/ASE securities compared to NASDAQ securities.     

我国商业银行操作风险度量模型的选择

操作风险涉及银行经营活动的所有领域、各个环节和所有人员，不同银行、不同业务、不同环节的操作风险特征都不相同。操作风险度量是对操作风险进行经济资本配置的基础，目前还没有普遍适用的操作风险度量方法，现有的一些主流模型没有充分考虑内部控制对操作风险的影响和操作风险的因果性特征。因此，操作风险度量模型应考虑到其特征，既要综合主观和客观两方面的因素，也要可以灵活地进行动态调整。考虑到我国商业银行操作风险管理的实际，在操作风险度量模型的选择上，可用内部控制评价结果调整的基本指标法和标准法作为自上而下的度量模型，用贝叶斯网络技术作为自下而上的度量模型。     

论统计过程控制的实施

为提高中国石油天然气集团公司产品、工程和服务质量总体水平。提高企业经济效益，全面推进具有国际竞争力的跨国企业集团建设，中国石油天然气集团公司决定在各企业推广应用统计过程控制技术。通过控制图的具体实施．由推行小组对控制图的实施成果进行评估，并根据评估结果进行有针对性的改善。     

Multivariate statistics in industrial marketing management: A practitioner tool kit

Much published work over the years has pointed to the differences between business-to-consumer (B2C) and business-to-business (B2B) marketing. An undesirable by-product of this sometimes misdirected distinction is that managers working within B2B environments have generally not considered the use of what are seen as B2C techniques, such as multivariate statistical analysis. This article is structured in three parts. First, the argument for the similarities between B2B and B2C marketing is developed; second, three different multivariate statistical techniques are presented and combined to form a practical tool kit for use by B2B managers on strategic, operational, and tactical levels; and third, the results of an application of the techniques in the life science research chemicals industry is reported, demonstrating that the tool kit substantially enhanced managerial understanding of customer decision processes.