Acquisition of a Workstation For Large Scale Monte Carlo Simulations

在国家科学基金会的支持下，Jean-Francois Richard博士将获得一台Microway 264 DP-2000+工作站，配有1 GB SDRAM和相关的监视器和现场许可证。这个系统将促进他在两个关键领域的经济研究。第一个涉及非常高维（1000+）的数值积分的似然函数的重要性抽样。现代计量经济学模型通常包含大量未观测到的变量。这样的模型经常受到这样一个事实，即个体代理决策的重要组成部分是不可观察的，必须以不可观察的随机异质性的形式进行解释，理查德博士的工作研究了如何最优化地实现这一点。他的研究的第二个方面涉及经验博弈论模型。近年来，这种实验性的经济学方法特别强调拍卖而蓬勃发展。通过仔细控制和改变游戏规则，人们可以深入了解个体玩家的策略以及个体间互动的动态。理查德博士的工作研究了这些行为所依据的基本原则。该工作站也将提供给研究生，因此具有潜在的广泛影响。

With National Science Foundation support Dr. Jean-Francois Richard will acquire a Microway 264 DP-2000+ workstation with 1 GB of SDRAM and associated monitor and site license. This system will facilitate his economic research in two key areas. The first involves very high-dimensional (1000+) numerical integration of likelihood functions by importance sampling. Modern econometric models often include large numbers of unobserved variables. Such models frequently suffer from the fact that important components of individual agents decisions are unobserved and have to be accounted for in the form of unobserved random heterogeneity and Dr. Richard's work examines how this might most optimally be accomplished. The second aspect of his research concerns empirical game theoretic models. In recent years this experimental economic approach has burgeoned with special emphasis on auctions. By carefully controlling and varying game rules one can gain insight into individual player's strategies as well as the dynamics of inter-individual interaction. Dr. Richard's work examines the underlying principles on which such behaviors are based. The workstation will also be available to graduate students and thus have a potentially broad impact.