The Effect of Respondent Experience/Knowledge in the Elicitation of Contingent Values: An Investigation of Convergent Validity,Procedural Invariance and Reliability

Tests of convergent validity and procedural invariance were used to investigate whether individuals lacking direct experience with a commodity can provide valid responses to contingent-valuation questions eliciting ex post use values. Convergent validity between samples with and without experience was shown to hold for dichotomous-choice responses, but not for open-ended responses.     

投保人与保险人博弈关系分析

博弈论是研究信息不对称问题的一种有效方法 ,其广泛应用于军事、政治、经济等领域。保险业作为信息不对称最为集中的行业 ,投保人与保险人之间的信息不对称现象尤为突出 ,道德风险也极易发生。如何用博弈理论与方法分析这些信息不对称问题 ,并据此提出切实可行的解决方法 ,已成为保险界日益关注的问题。     

司法者激励对司法公正影响的模型分析

司法公正与法官激励是当前司法领域中所面临的最为紧迫而关键的问题.本研究运用博弈论来模拟现实的审判过程.通过分析基于个人效用最大化的法官最优选择的基础上来研究法官的法律遵从度、工作勤勉程度、工资收入、外部干预(如贿赂)、司法权的有效配置等重要因素对法官裁判的影响,进而解决社会所获得的公正执法水平.对于不同法律遵从度的法官而言,贿赂、工资等因素的影响是不同的.提高法官法律遵从度并调整法官与社会之间的效用关系,从制度上实现司法权的有效配置,对于实现司法公正至关重要.这为解决当前司法领域所存在的问题提供了理论依据和方法.     

企业制度变革中的博弈与均衡——一个关于国有企业民营化的实证研究

企业制度运行以利益相关者之间的共有理念为心理依托；这种共有理念体现在人们博弈均衡之中，是人们行为选择的默认前提，其形成和发展具有不以个人意志为转移的客观规律；企业制度变革的任务，是通过企业利益相关者之间的博弈和信任，在适应和调整共有理念的基础上，塑造合理的企业控制权主体。     

一种非市场因素导致的铁矿石价格上涨——基于博弈的分析

通过一个可重复博弈模型,揭示了中国在国际铁矿石贸易中面临由非市场因素造成的价格上涨问题,认为,造成这种现象的根本原因是中国在铁矿石贸易中的市场地位并没有随着进口量的提高而提高,并从资源安全角度提出了应对策略。     

Disclosure of Private Information and Reduction of Uncertainty: Environmental Liabilities in the Chemical Industry

We investigate the potential uncertainty-reducing role of accounting information in the context of contingent Superfund liability valuation. We first develop theoretical arguments for the way reduction of uncertainty regarding these contingent liabilities is expected to affect security prices. Empirical proxies are developed for two types of uncertainty surrounding contingent Superfund liabilities: site uncertainty and allocation uncertainty. In a valuation framework, we then investigate whether financial statement disclosures and accruals reduce uncertainty and thereby affect security valuation. Specifically, we analyze the interaction of private information contained in firm disclosures and accruals with inherent uncertainty surrounding contingent Superfund liabilities. Results suggest that in a regulatory environment allowing substantial reporting discretion, firm-provided financial statement information affects valuation of contingent Superfund liabilities by reducing uncertainty. Further, we find that information revealed through accruals versus disclosures is differentially effective at reducing site and allocation uncertainty.     

布雷顿森林体系Ⅱ：博弈均衡与中国的困境

如果把人民币汇率问题纳入“新布雷顿森林体系”的分析框架,通过分析“新布雷顿森林体系”的运行机制和其中的各方博弈,所能够得出的短期均衡结果是,美国继续进口亚洲商品,亚洲国家对美融资以保持美国国内旺盛的消费需求。但从长期来看,新布雷顿森林体系由于自身存在的制度性缺陷,最终会导致亚洲国家组建的对美融资“卡特尔”走向分裂。中国在这个卡塔尔与其破裂的预期中,面临三重困境需要突破。     

Machine learning in individual claims reserving

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.     

Moments of renewal shot-noise processes and their applications

In this paper, we study the family of renewal shot-noise processes. The Feynmann–Kac formula is obtained based on the piecewise deterministic Markov process theory and the martingale methodology. We then derive the Laplace transforms of the conditional moments and asymptotic moments of the processes. In general, by inverting the Laplace transforms, the asymptotic moments and the first conditional moments can be derived explicitly; however, other conditional moments may need to be estimated numerically. As an example, we develop a very efficient and general algorithm of Monte Carlo exact simulation for estimating the second conditional moments. The results can be then easily transformed to the counterparts of discounted aggregate claims for insurance applications, and we apply the first two conditional moments for the actuarial net premium calculation. Similarly, they can also be applied to credit risk and reliability modelling. Numerical examples with four distribution choices for interarrival times are provided to illustrate how the models can be implemented.     

Collaboration strategy decision-making using the Miles and Snow typology

Engaging in collaboration may be the best way for a firm to enhance its competitive advantages, since this can offer faster access to both resources and capabilities. This study aims to develop a framework for making collaboration partner choice decisions. The authors design a strategic game model of collaboration using Miles and Snow typology. An empirical data set collected from the S&P COMPUSTAT database is adopted to verify the model, and several managerial implications are derived. This model helps a company choose a competitor as a collaborative partner and helps in the selection of a collaboration strategy.