双重信息不对称下销售渠道双目标混合激励模型

销售渠道在企业与消费者之间扮演着重要的桥梁作用,销售人员的销售能力和销售努力等信息均为其私有而不为企业所共知时,企业如何甄别其真实能力信息并对其销售努力实施有效激励是个重要问题.针对上述问题,给出了基于线性合约的双目标混合激励模型,通过模型求解得到并刻画了最优合约的3个特征.首先,为辨别高能力类型与普通能力类型这两种不...     

Earthquake Risk Perception in Bucharest, Romania

The Municipality of Bucharest is one of the capitals with the highest seismic risk in the world. Bucharest is particularly vulnerable to seismic hazard due to: the high density of inhabitants, especially within the residential districts with blocks of flats; the old public utility fund; the out-of-date infrastructure; the numerous industrial parks that are undergoing a restructuring process, not to mention the inefficient organization of civil protection and poor education of the population regarding seismic risk. This research was designed to examine the attitudes and perceptions of people living with the risk of an earthquake hazard in Bucharest. We were interested in how attitudes and perceptions differ depending on gender, age, education, residential area and socioeconomic status, characteristics of seismic hazard, degree of risk exposure, degree of danger, and casualty awareness. At the same time, we compare the results of this study with those from a previous and similar enquiry in 1997. The statistical processing has indicated a significant difference between the declared perception of seismic risk and the independent variables of gender, age, level of education, level of attachment to the residential area, and degree to which the subjects consider they may be affected and could retrieve their losses. Due to the continuous decrease of their living standard, the most vulnerable is the aged population. The feelings toward the residential area is another factor of statistical significance for the population's seismic danger perception. A strong affective bond offers a feeling of safety and leads to the neglect and even total denial of the hazard. In the case of independent variables regarding the type of dwelling, its age, and property form, deviations of empiric values from the theoretical distribution are not relevant for the correlation searched for, which indicates that this issue goes beyond the above-mentioned criteria.     

非对称信息条件下成本控制模型研究

运用委托代理理论方法探讨了信息不对称条件下,生产管理者如何激励生产者努力降低成本的问题。信息不对称情况下,管理者不能观测到生产者为降低成本而付出的努力,因此管理者需要对生产者进行激励。管理者根据自己的要求和生产者的自报数确定了一个合约基数,并建立了满足生产者个体理性约束和激励相容约束条件下的管理者期望效用最大化模型,分别以奖励系数和惩罚系数为决策主量。运用进化规划算法作了仿真计算。     

Regression Analysis of Restricted Mean Survival Time Based on Pseudo-Observations

Regression models for survival data are often specified from the hazard function while classical regression analysis of quantitative outcomes focuses on the mean value (possibly after suitable transformations). Methods for regression analysis of mean survival time and the related quantity, the restricted mean survival time, are reviewed and compared to a method based on pseudo-observations. Both Monte Carlo simulations and two real data sets are studied. It is concluded that while existing methods may be superior for analysis of the mean, pseudo-observations seem well suited when the restricted mean is studied.     

Choice of Parametric Accelerated Life and Proportional Hazards Models for Survival Data: Asymptotic Results

We discuss the impact of misspecifying fully parametric proportional hazards and accelerated life models. For the uncensored case, misspecified accelerated life models give asymptotically unbiased estimates of covariate effect, but the shape and scale parameters depend on the misspecification. The covariate, shape and scale parameters differ in the censored case. Parametric proportional hazards models do not have a sound justification for general use: estimates from misspecified models can be very biased, and misleading results for the shape of the hazard function can arise. Misspecified survival functions are more biased at the extremes than the centre. Asymptotic and first order results are compared. If a model is misspecified, the size of Wald tests will be underestimated. Use of the sandwich estimator of standard error gives tests of the correct size, but misspecification leads to a loss of power. Accelerated life models are more robust to misspecification because of their log-linear form. In preliminary data analysis, practitioners should investigate proportional hazards and accelerated life models; software is readily available for several such models.     

Estimation of a Change Point in a Hazard Function Based on Censored Data

The hazard function plays an important role in reliability or survival studies since it describes the instantaneous risk of failure of items at a time point, given that they have not failed before. In some real life applications, abrupt changes in the hazard function are observed due to overhauls, major operations or specific maintenance activities. In such situations it is of interest to detect the location where such a change occurs and estimate the size of the change. In this paper we consider the problem of estimating a single change point in a piecewise constant hazard function when the observed variables are subject to random censoring. We suggest an estimation procedure that is based on certain structural properties and on least squares ideas. A simulation study is carried out to compare the performance of this estimator with two estimators available in the literature: an estimator based on a functional of the Nelson-Aalen estimator and a maximum likelihood estimator. The proposed least squares estimator tums out to be less biased than the other two estimators, but has a larger variance. We illustrate the estimation method on some real data sets.     

Marginal Regression of Gaps Between Recurrent Events

Recurrent event data typically exhibit the phenomenon of intra-individual correlation, owing to not only observed covariates but also random effects. In many applications, the population may be reasonably postulated as a heterogeneous mixture of individual renewal processes, and the inference of interest is the effect of individual-level covariates. In this article, we suggest and investigate a marginal proportional hazards model for gaps between recurrent events. A connection is established between observed gap times and clustered survival data with informative cluster size. We subsequently construct a novel and general inference procedure for the latter, based on a functional formulation of standard Cox regression. Large-sample theory is established for the proposed estimators. Numerical studies demonstrate that the procedure performs well with practical sample sizes. Application to the well-known bladder tumor data is given as an illustration.     

信息不对称与人的经济行为

信息不对称及其经济效应是信息经济学研究的中心问题,本文依据信息经济学和行为科学理论,从现实经济生活出发,系统地阐述了信息不对称的内涵,论证了信息不对称的必然性,探讨了信息不对称条件下交易双方的经济行为,提出了信息不对称条件下卖方(或代理方)违规败德行为的函数式,最后讨论了信息不对称造成的经济后果,提出了解决这一问题的思路。     

欠发达省域农民工持续就业稳定性及影响因素——基于广西壮族自治区639份问卷调查数据

基于广西壮族自治区639份调查数据,以农民工就业的持续时间长短为观察变量,建立Cox比例风险模型,对欠发达省域农民工持续就业的稳定性影响因素进行实证分析。结果表明:年龄、婚姻状况及受教育年限对农民工退出城市劳动力市场的影响显著。农民工年龄每增加1岁,退出城市劳动力市场风险减少5.6%;已婚农民工较未婚农民工退出风险减少40.2%;受教育年限对农民工退出城市劳动力市场具有极显著的负影响,受教育年限每延长1年,退出风险降低17.8%。农民工的工作收入以及工作环境影响显著,人均纯收入越高,自评劳动强度越"小",自评技术能力越"好",与工作单位签订就业合同、购买社会保险、接受劳动培训的机会越多,退出风险越低。     

面向道德风险的易逝品供应链声誉演化研究

易逝品供应链协调问题常见于单期报童问题背景,而实际中供应链成员之间更常见的是多期合作与博弈关系。鉴于此,本论文将易逝品供应链协调问题的研究背景拓展至多期合作情形,在单边道德风险框架下研究制造商声誉的形成与演化过程,发现了易逝品供应链中制造商声誉的演化机制。最后对结论进行了数值分析和验证,并分析了各主要参数的结论的影响。