Finding Pareto Optimal Insurance Contracts

This paper deals with on-line computation—or step-wise learning—of Pareto optimal insurance contracts. Our approach tolerates that the loss distribution might be unknown, intractable, or not well specified. Thus we accommodate fairly inexperienced parties. Losses are here simulated or observed, one at a time, and they cause iterated revisions of the premium. The mechanical and global nature of probability calculus thereby yields to more tentative, myopic procedures, possibly closer to how humans operate or reason in face of risk. Sequential revisions may also reduce the expense of insurers' time and money in seeking sufficient statistics. Emphasized below is the remarkable simplicity and stability of the resulting adaptive procedures. Special attention goes to catastrophic risks, and to subsidized or competitive insurance.     

区域旅游协作的帕累托分析

加强区域旅游协作，实现优势互补，谋求共同发展，已经成为了我国旅游界的共识。本文借鉴西方福利经济学的理论，探讨了区域旅游协作过程中实现旅游产业效益帕累托最优、旅游者效用帕累托最优以及两者联合最优的条件。     

城镇社区安全管理模式的经济学分析

城镇社区安全是社会安全与稳定的基础。本文基于纳什均衡和帕累托理论，对城镇社区安全管理模式进行了经济学分析。结果显示，为实现社区安全管理资源的帕累托最优，需要改进现有的安全管理制度，通过契约协作的方式，协调社区联盟中每户居民的安全支出，以避免“搭便车”现象的发生。基于上述经济学理论分析，最后提出了有关实现社区安全管理制度创新的模式及相应对策措施。     

Policy Discrimination with and without Interpersonal Comparisons of Utility

Can the Pareto criterion guide policymakers who do not know the true model of the economy? If policymakers specify ex ante preferences for agents, then Pareto improvements from a distorted status quo are usually possible, and with more commodities than states, one can implement almost every Pareto optimum. Unlike the standard second welfare theorem, planners cannot dictate allocations: agents must trade. Unfortunately ex ante preferences impose interpersonal comparisons. If policymakers merely aim to maximize some social welfare function then optimal policies form an open set; hence small changes in the environment do not necessitate any policy response. Planners with symmetric information about agents can sometimes intervene without making interpersonal comparisons.     

Internal habits formation and optimality

In a very influential model with internal habits, Carroll et al., (2017, 2000), establish that an increase in economic growth may cause a positive change in savings. The optimality of this result, and of many other contributions using a similar framework, has been questioned by some authors who have observed that the parametrization used in these models always implies a utility function not jointly concave in consumption and habits. In this paper, we revisit the optimality issue and, using advanced techniques in Dynamic Programming, we answer the following long-standing open questions: (i) Is the solution found in Carroll et al., (2017, 2000) optimal? (ii) Is it also unique or do other optimal solutions exist?     

Growth Optimal Investment Strategy: The Impact of Reallocation Frequency and Heavy Tails

The strategy to maximize the long‐term growth rate of final wealth (maximum expected log strategy, maximum geometric mean strategy, Kelly criterion) is based on probability theoretic underpinnings and has asymptotic optimality properties. This article reviews the allocation of wealth in a two‐asset economy with one risky asset and a risk‐free asset. It is also shown that the optimal fraction to be invested in the risky asset (i) depends on the length of the basic return period and (ii) is lower for heavy‐tailed log returns than for light‐tailed log returns.     

A Generic Framework for Automated Multi-attribute Negotiation

Agents in a negotiation may have to negotiate multiple issues simultaneously. Automated multi-attribute negotiation provides an important mechanism for distributed decision makers to reach agreements on multiple issues. Moreover, it also furnishes the opportunity to reach “win–win” solutions. In this paper, we first provide a survey that synthesizes the research on multi-attribute negotiation. We discuss the limitations of the existing research and conclude that three key issues need further study: incomplete information, Pareto optimality, and tractability. We then present a generic framework for automated multi-attribute negotiation with two new mechanisms that address the above issues. Finally, we discuss the challenges and directions for future work.     

煤炭资源利用效率与生态帕累托之间的关系研究——以山西省为例

本文基于山西煤炭资源利用情况,分析了在煤炭资源利用过程中产生的外部不经济,通过数据资料分析提出煤炭资源利用效率对生态帕累托的影响,并在此基础上提出一些寻求能源利用和生态平衡的建议。     

Optimality of balanced designs for minimum norm quadratic unbiased estimation of variance components

This paper develops an approximate theory for the optimality of balanced designs under minimum norm quadratic unbiased estimation of variance components in one-way classified data.     

Design-Based Properties of Linear Calibrated Estimators of a Finite Population Total

We extend Godambe's famous nonexistence theorem to classes of linear calibrated estimators. We also propose a new method for comparing sampling strategies in the design‐based framework without recourse to simulation.