| 期刊ISSN: | 0266-4666 |
|---|---|
| E-ISSN: | 1469-4360 |
| 影响因子: | 1 |
| 自引率: | 0% |
| 检索数据库: | |
| 出版语言: | 英文 |
| 期刊分类: |
| 最新中科院SCI期刊分区(基础版) | |
|---|---|
|
大学学科
|
|
|
经济学
四区
|
|
|
按学科分区
|
|
|
图书馆学
四区
|
|
|
Top期刊
否
|
|
|
综述期刊
否
|
|
| 最新中科院SCI期刊分区(升级版) | |
|---|---|
|
大学学科
|
|
|
按学科分区
|
|
|
Top期刊
|
|
|
综述期刊
|
|
| 出版信息 | |
|---|---|
| 出版商 |
Cambridge University Press
|
| 期刊官网 | http://korora.econ.yale.edu/et/ |
| 涉及的研究方向 |
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
|
| 年文章数 |
0
|
| 是否OA |
否
|
| APC费用 | |
| SCI期刊收录coverage | |
| 期刊简介 | |
|---|---|
|
Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics. It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET. In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics. Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.
|
|
| Cite Score相关 | |||
|---|---|---|---|
| Cite Score | SJR | SNIP | 排名 |
EI Compendex,Scopus,IEEE Xplore
2026年智能系统控制、优化与应用国际学术会议(ISCOA 2026)985主办
IEEE出版
EI Compendex,Scopus,IEEE Xplore
第二届先进计算与智能机器人应用国际学术会议 (ACIRA 2026)IEEE出版
985主办
EI Compendex,Scopus,IEEE Xplore
第三届大数据分析与人工智能应用国际学术会议(BDAIA 2026)交叉学科
IEEE出版