Matching and anonymity

This work introduces a set-theoretic foundation of deterministic bilateral matching processes and studies their properties. In particular, it formalizes a link between matching and informational constraints by developing a notion of anonymity that is based on the agents’ matching histories. It also explains why and how various matching processes generate different degrees of “informational isolation” in the economy. We illustrate the usefulness of our approach to modeling matching frameworks by discussing the classical turnpike model of Townsend.This research is supported in part by the NSF grants EIA-0075506, SES-0128039, DMS-0437210, and ACI-0325846. We thank two anonymous referees for constructive comments that improved the exposition of the paper. We also thank the participants in seminars at the University of Aarhus, Purdue University, University of Texas at Austin, and at the XI Meeting on Real Analysis and Measure Theory in 2004, the spring 2004 Midwest Economic Theory Meeting, the summer 2004 North American and European Econometric Society meetings.     

企业研究与开发绩效评价:现状分析及改进思路

由于研发活动固有的特点,企业研究与开发(以下也称研发或R&D)的绩效评价一直是理论和实践上的难题。通过分析影响企业研发绩效评价因素,探讨现行的企业绩效评价体系存在的问题,得出了可以利用平衡计分卡设计企业研发绩效评价指标体系的结论。     

基于平衡计分卡的项目管理绩效评价模型研究

传统的项目管理往往仅将其管理领域局限于项目与项目实施间的行为,缺乏与组织战略相互因应的结合。以项目为导向(Project-base)的组织中,通过员工之间的互相支持,资源共同分享的方式,使企业能够快速地应变不同的需求与变动,动态的调整项目的分配,从而强化企业的竞争优势。本文的研究目标是试图采用平衡计分卡的模式作为项目管理与组织战略结合的桥梁,摆脱传统上单纯以量化模式评估绩效的方式,而从多个层面针对项目管理的绩效作一个较为全面的探讨,期望能使项目管理的绩效与组织战略更加紧密结合。通过平衡计分卡四个层面的绩效评价,充分地分析组织整体与项目个别的绩效表现,提供管理人员快速发现问题与制定决策的依据。     

财产保险公司资产负债管理多维量化评估体系研究

良好的资产负债管理是保险业可持续发展的基石,也是支持保险业在日益复杂的风险环境中保持稳健发展、防范系统性风险的重要保障。近年来,随着我国金融市场发展,业务产品创新加快,保险业在资产端与负债端的业务结构和风险特征出现了新情况、新变化。特别是部分保险公司缺乏有效的治理结构,采取激进经营、激进投资的策略,导致业务快进快出、风险敞口过大以及流动性问题,对保险公司资产负债匹配管理、风险控制提出了挑战。本文介绍了财产保险公司资产负债多维度量化评估规则设计原理、主要评估模型和评估方法,针对财产保险公司的负债特性提出的沉淀资金匹配,在成本收益匹配中有机地将资产投资收益与承保业务综合成本进行匹配,在现金流匹配模式中打破了僵化的匹配模式,解决了长期困扰财产保险公司的资产负债期限不匹配的问题,对财产保险公司资产负债管理具有重要意义。     

Revenue Sharing versus Expenditure Sharing in a Federal System

Problems of intergovernmental policy coordination can take many forms and are becoming increasingly important with continuing economic integration. In this paper we focus on the fiscal competition problem where the non-cooperative choice of taxes and transfers among governments typically leads to a suboptimal outcome. We look at the effect of two widely used corrective policies: revenue sharing and expenditure sharing (or intergovernmental matching grants). Our main result is that these two corrective policies have opposite effects depending on the form of competition between governments, namely whether governments compete in taxes or expenditures. More precisely, for any form of competition, revenue sharing is desirable exactly when expenditure sharing is not and vice versa. The implication is that the choice of the optimal corrective policy requires a complete understanding of the underlying non-cooperative behavior among governments. Our second main result is that neither revenue sharing or expenditure sharing can be sustained as a Nash equilibrium among governments, although all governments would benefit from one of these two corrective policies. Central intervention is therefore inevitable unless governments can pre-commit to the optimal corrective policy before setting their fiscal policies.     

Money,random matching and endogenous growth: A quantitative analysis

In this study, we develop a search-and-matching monetary growth model to analyze the effects of inflation on economic growth and social welfare by introducing endogenous economic growth via capital externality into a two-sector search-and-matching model. We find that the channel through which inflation affects economic growth in the search-and-matching model is different from the traditional cash-in-advance model. To facilitate the calibration, we obtain an empirical estimate of the effects of inflation on economic growth using panel regressions. In the simulation analysis, we quantitatively evaluate the welfare effect of inflation in the search-and-matching endogenous growth model and compare it to a search-and-matching exogenous growth model. We find that the welfare effect of inflation is nonlinear in the endogenous growth model whereas it is linear in the exogenous growth model. Furthermore, we find that the welfare cost of inflation under endogenous growth is up to four times as large as the welfare cost of inflation under exogenous growth.     

匹配式管理模式在汽车城规划建设中的探索与应用

针对两江国际汽车城规划建设中招商引资困难的问题,结合两江国际汽车城的实际情况、资源条件以及发展趋势,设计了匹配式管理模式.在阐述匹配式管理模式内涵基础上,对匹配式管理体系的组成要素、框架结构、匹配关系等进行了分析,并对该管理模式在实际中的应用效果及推广意义进行了总结.     

The substitutes condition and the lattice structure of the set of stable allocations

In the many-to-one matching model with contracts, I show that there is no restriction on preferences weaker than substitutable preferences which guarantees that the set of stable allocations is a lattice. Thus, when contracts are not substitutes, removing agents from the economy may decrease the payoffs to existing agents on both sides of the market.     

基于作业过程的园林绿化项目资源清单模型

结合生产要素六元理论，对园林绿化项目资源进行界定；以作业过程为信息关联节点，通过施工工序分解和资源特征匹配，构造园林绿化项目的“产出-作业”分配关系描述矩阵和“作业-资源”消耗关系描述矩阵。XX科技园林绿化企业的应用结果表明，项目资源清单模型解决了目前园林绿化企业资源信息分离使用的现状，是企业快速构建项目资源计划表、项目施工方案以及快速估算项目成本等的基础数据信息。     

On estimating long-run effects in models with lagged dependent variables

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.Our analysis points out the hazards of this practice. We use Monte Carlo experiments to demonstrate that estimating long-run impacts from dynamic models produces unreliable results.Biases can be substantial, sample ranges very wide, and hypothesis tests can be rendered useless in realistic data environments. There are three reasons for this poor performance. First, OLS estimates of the coefficient of a lagged dependent variable are downwardly biased in finite samples. Second, small biases in the estimate of the lagged, dependent variable coefficient are magnified in the calculation of long-run effects. And third, and perhaps most importantly, the statistical distribution associated with estimates of the LRP is complicated, heavy-tailed, and difficult to use for hypothesis testing. While many of the underlying problems have been long-known in the literature, the continued widespread use of the associated empirical procedures suggests that researchers are unaware of the extent and severity of the estimation problems. This study aims to illustrate their practical importance for applied research.