Acquisition of a Workstation For Large Scale Monte Carlo Simulations

在美国国家科学基金会的支持下，Jean-Francois Richard博士将获得一台带有1gb SDRAM的Microway 264 DP-2000+工作站以及相关的监视器和站点许可证。这一体系将有利于他在两个关键领域的经济研究。第一种方法涉及通过重要性抽样对似然函数进行高维（1000+）数值积分。现代计量经济模型通常包含大量未观察到的变量。这些模型经常受到这样一个事实的困扰，即个体主体决策的重要组成部分是无法观察到的，必须以无法观察到的随机异质性的形式来解释，理查德博士的工作研究了如何最优地完成这一任务。他研究的第二个方面涉及实证博弈论模型。近年来，这种实验性的经济方法迅速发展，特别强调拍卖。通过仔细控制和改变游戏规则，玩家可以洞察个体玩家的策略以及个体间互动的动态。理查德博士的研究考察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.