A bayesian estimator for the dependence function of a bivariate extreme‐value distribution

Any continuous bivariate distribution can be expressed in terms of its margins and a unique copula. In the case of extreme‐value distributions, the copula is characterized by a dependence function while each margin depends on three parameters. The authors propose a Bayesian approach for the simultaneous estimation of the dependence function and the parameters defining the margins. They describe a nonparametric model for the dependence function and a reversible jump Markov chain Monte Carlo algorithm for the computation of the Bayesian estimator. They show through simulations that their estimator has a smaller mean integrated squared error than classical nonparametric estimators, especially in small samples. They illustrate their approach on a hydrological data set.     

An empirical likelihood goodness-of-fit test for time series

Summary. Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric alternatives are based on residuals arising from a fitted model. When a parametric regression model is compared with a nonparametric model, goodness-of-fit testing can be naturally approached by evaluating the likelihood of the parametric model within a nonparametric framework. We employ the empirical likelihood for an α -mixing process to formulate a test statistic that measures the goodness of fit of a parametric regression model. The technique is based on a comparison with kernel smoothing estimators. The empirical likelihood formulation of the test has two attractive features. One is its automatic consideration of the variation that is associated with the nonparametric fit due to empirical likelihood's ability to Studentize internally. The other is that the asymptotic distribution of the test statistic is free of unknown parameters, avoiding plug-in estimation. We apply the test to a discretized diffusion model which has recently been considered in financial market analysis.     

证交所国债买断式回购交易的风险研究

国债买断式回购的推出衍生了抛补套利、循环融券卖空、债券组合交易、买断式回购组合交易这几种新的主要交易模式,丰富了投资者的交易手段,然而,这些新的交易模式将容易引发做空风险、流动性风险和更大的信用风险,在分析这些风险的基础上,提出了建立健全保证金制度、信用评估制度以及制定严格的交易规则等风险防范对策。     

Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence

To model an hypothesis of double monotone dependence between two ordinal categorical variables A and B usually a set of symmetric odds ratios defined on the joint probability function is subject to linear inequality constraints. Conversely in this paper two sets of asymmetric odds ratios defined, respectively, on the conditional distributions of A given B and on the conditional distributions of B given A are subject to linear inequality constraints. If the joint probabilities are parameterized by a saturated log-linear model, these constraints are nonlinear inequality constraints on the log-linear parameters. The problem here considered is a non-standard one both for the presence of nonlinear inequality constraints and for the fact that the number of these constraints is greater than the number of the parameters of the saturated log-linear model.This work has been supported by the COFIN 2002 project, references 2002133957_002, 2002133957_004. Preliminary findings have been presented at SIS (Società Italiana di Statistica) Annual Meeting, Bari, 2004.     

共同背景和梦想下的相互依存——对《人与鼠》中两人物对话的分析

心理语言学家认为交谈者双方的诸多特性因素无疑会影响交谈过程的本质,这些特性包括交谈双方的年龄、性别、社会地位、种族背景、友谊的程度和关系的亲密程度.由美国著名作家约翰·斯坦贝克所著的《人与鼠》是一部极其感人并长期为读者喜爱的作品.该作品描写了两个劳动工人间真挚的友谊,相互依存以及共同的梦想.从《人与鼠》中,我们可以得知两人物之间的对话是有特性的,他们真势的友谊,相互依存以及共同的梦想是影响其交流方式最重要的特性.通过分析其背景,共同话题,共同梦想,我们可以总结出两人物的谈话方式是与心理语言学交谈的本质特性相符.     

考虑双重异质性的碳配额分配及交易机制研究

构建包含政府-企业-消费者三方的碳配额分配及交易减排供应链,其中消费者基于自身低碳偏好进行产品选购,政府基于行业社会福利最优进行企业配额分配和碳指导价设定,企业基于利润最优进行生产和销售。通过建立混合博弈模型,对比分析了考虑企业和消费者双重异质性的配额分配及交易机制对政府、企业最优决策行为的影响。研究结果表明：该减排机制能在保持社会福利最优的基础上更好地提升消费者和企业的参与积极性,实现对异质企业的双向和持续性减排激励。消费者低碳偏好和单位碳排差异度是影响减排机制实施方案和实施绩效的关键因素,其中,消费者低碳偏好决定了行业最优碳价和配额分配规则,且在主动和被动两个层面影响企业决策和产品价格;单位碳排差异度是影响企业利润、消费者主动支付倾向和减排绩效的重要因素,严格的差异度划分有利于形成正向激励;差异化的配额率易于形成减排激励,其与自主配额率间的差异是造成碳价波动的原因之一;研究也表明,过低的单位碳排差异度不适合进行企业异质性划分,在减排机制设计中应弱化“碳收益激励”目的。     

“双碳”目标下的农业转型路径: 从市场中来到“市场”中去

基于市场演进的视角,结合传统生态智慧、数量型经济增长理论和生态文明思想,文章揭示了"双碳"目标下农业转型的理论渊源,进而分析了农业转型面临的"薄市场"挑战及其成因,提出了依托市场机制驱动农业转型的可行路径。研究认为,按照"双碳"目标要求,在保障粮食和重要农产品有效供给的前提下,农业既要通过减排和增汇减缓气候变化,又要增强自身适应气候变化的能力。尽早关注农业转型可以防范"吉登斯悖论",并降低"双碳"目标实现的社会成本。然而,农业在减缓和适应气候变化方面的功能具有典型的外部性特征,存在价格生成困境,需要通过构建多元市场交易体系,推动农业低碳生产的成本投入与收益获取在边际上维持均衡,并使得以低碳农业为代表的生态环境部门的价值与经济社会其他部门的"价值"相均衡。     

Efficient Estimation of a Distribution Function under Quadrant Dependence

LetX₁,X₂, ..., be real-valued random variables forming a strictly stationary sequence, and satisfying the basic requirement of being either pairwise positively quadrant dependent or pairwise negatively quadrant dependent. LetF^ be the marginal distribution function of theX_ips, which is estimated by the empirical distribution functionF_n and also by a smooth kernel-type estimateF_n, by means of the segmentX₁, ...,X_n. These estimates are compared on the basis of their mean squared errors (MSE). The main results of this paper are the following. Under certain regularity conditions, the optimal bandwidth (in the MSE sense) is determined, and is found to be the same as that in the independent identically distributed case. It is also shown thatn MSE(F_n(t)) andnMSE (F^_n(t)) tend to the same constant, asn→∞ so that one can not discriminate be tween the two estimates on the basis of the MSE. Next, ifi(n) = min {k∈{1, 2, ...}; MSE (F_k(t)) ≤ MSE (F_n(t))}, then it is proved thati(n)/n tends to 1, asn→∞. Thus, once again, one can not choose one estimate over the other in terms of their asymptotic relative efficiency. If, however, the squared bias ofF^_n(t) tends to 0 sufficiently fast, or equivalently, the bandwidthh_n satisfies the requirement thatnh³_n→ 0, asn→∞, it is shown that, for a suitable choice of the kernel, (i(n) ?n)/(nh_n) tends to a positive number, asn→∞ It follows that the deficiency ofF_n(t) with respect toF^_n(t),i(n) ?n, is substantial, and, actually, tends to ∞, asn→∞. In terms of deficiency, the smooth estimateF^_n(t) is preferable to the empirical distribution functionF_n(t)     

PC软件产品竞争性升级的定价研究

通过Hotelling模型对PC软件产品竞争性升级进行了研究,重点分析了网络外部性、转换成本、升级产品质量(或功能)的提高对升级定价及其竞争策略的影响.主要成果包括以下几个方面(1)在消费者静态预期的条件下,网络规模大的厂商总是偏好不兼容,网络规模小的厂商偏好全兼容.(2)分析了影响版本升级价格、竞争性价格和全价的相关因素.(3)解释了转换成本和实施竞争性升级的关系.(4)分析了厂商夺取竞争对手厂商客户的条件以及争夺新客户的竞争策略.对厂商的竞争性升级定价具有重要的理论指导意义.     

非畅流流域跨界水污染纠纷管理模型研究

结合我国流域的非畅流特点,提出了流域各地区作为独立决策单元、污染物人为调控和地区间污染物间接不影响等几个基本假设,构建了我国流域跨界水污染描述模型.分析了我国目前正在执行的污染物削减指令配额模型的优缺点,提出用行政、税收、排污权交易等手段解决我国日益严重的流域跨界水污染纠纷问题,为此建立了合作协调模型、税收宏观调控模型、排污权交易宏观调控模型.通过对淮河流域跨界水污染纠纷的具体应用分析了各种管理模型的资源利用效率.最后,通过各种管理模型的对比分析,指出选择合适的管理模型应与流域的实际情况相匹配.