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本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

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分类依据与纠错

AI 根据所提供的论文材料归类:文本重点是通用计量模型的随机模拟程序,未明确对应的经济领域或专门预测任务,细分归属证据不足。

反馈分类问题

正在核对关联版本…

代码、数据与补充材料

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关注这篇论文的作者
Carlo Bianchi
Giorgio Calzolari
Paolo Corsi

计量经济模型的随机模拟程序

研究问题
如何对计量经济模型开展重复随机模拟,并通过模拟解与实际值、确定性解的比较,描述模型拟合表现及计算需求?
方法与思路
通过重复随机模拟汇总模型解,比较实际值、确定性解与随机解均值,并计算 RMSE、MAPE、Theil 系数及回归诊断量。
材料陈述的贡献
摘要介绍一个输出重复模拟结果及多种拟合指标的程序,并以 Klein I 模型示例报告计算时间,同时说明程序存储需求。
阅读关注点
应核对随机项如何生成、参数不确定性是否纳入、模型求解与重复模拟规则,以及各拟合指标的定义和评价范围。
阅读边界
所给文本开头残缺,摘要未说明随机模拟的完整设定或误差控制;历史硬件上的运行时间不能直接代表当前计算性能。

原文摘要

model. Many results (observed value, deterministic solution, computed mean among the replications, minimum and maximum of the stochastic solution, first relative differences of the observed, deterministic and mean stochastic values) are displayed and several empirical indicators of goodness of fit are computed: (1) the mean over the simulation period of the actual, deterministic and mean stochastic values; (2) the root mean square error (RMSE) of the deterministic and mean stochastic solutions; (3) the mean absolute percentage error (MAPE) of the deterministic and mean stochastic solutions; (4) Theil's inequality coefficient (U) of the deterministic and mean stochastic solutions; (5) the coefficients and standard errors of the regression (with intercept) of the observed values on the deterministic or mean stochastic solutions; (6) the coefficients and standard errors of the regression (without intercept) of the first relative differences of the observed values over those of the deterministic or mean stochastic solutions. The package is written in FORTRAN IV and ASSEMBLER 370 languages. It consists of approximately one thousand statements, in addition to the statements necessary to formalize the model. The required storage for the program is 60 kilobytes. A large work matrix is then required to hold intermediate and final results of the computation; its dimensions depend on the parameters specified in the input file (number of equations, simulation period, number of variables, etc.). The stochastic simulation of the Klein I model requires about 13 seconds of CPU time for 100 replications over 21 years of the sample period.

笔记与分组
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