Whither Econometrics?
计量经济学将走向何方?AI 解读 ↓
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。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。
AI 根据所提供的论文材料归类:摘要跨多个计量主题提出宽泛研究议程,未聚焦某一细分方法;仅凭微观应用、序列相关等列举不足以确定归类。
计量经济学将走向何方?AI 解读 ↓
正在核对关联版本…
正在核对对应版本的资源…
To try to chart the future of development in econometrics during the 1970's, it is useful to review the origins of the subject before World War II and the modern era in which our present body of knowledge flowered, 1940–1970. New developments should be made in computer analysis of large data banks, more complete systems, control systems, and microeconometric applications. It is likely that the future of the subject will be less tied to the United States than in the past few decades. Problem areas where research developments should prove to be fruitful are in the treatment of nonlinearities, serial correlation of error, estimation of prediction reliability, small sample distributions, pooling of diverse samples, lag distributions, and the use of a priori information.