理解现代计量经济学

被引:25
作者
洪永淼 [1 ,2 ]
机构
[1] 中国科学院数学与系统科学研究院
[2] 中国科学院大学经济与管理学院
关键词
非实验性; 线性回归模型; 非线性模型; 模型设定; 正态分布; 条件异方差; 内生性; 工具变量; 广义矩估计; 平稳性; 结构变化; 模型不确定性; 大数据; 高维数据; 机器学习; 预测; 因果关系; 政策评估;
D O I
暂无
中图分类号
F224.0 [数量经济学];
学科分类号
020209 ;
摘要
本文基于现代计量经济学的发展历程,介绍了现代计量经济学的思想、理论、主要内容体系、模型、方法与工具.文中首先回顾经典计量经济学中经典线性回归模型的基本假设,并考察通过扬弃这些假设,发展而来的现代计量经济学的历史背景,进而阐述现代计量经济学的理论体系与主要内容;同时讨论了在大数据时代,大数据为计量经济学带来的挑战与机遇,以及计量经济学今后发展的若干重要方向与趋势.
引用
收藏
页码:266 / 284
页数:19
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