0266-4666
Published by: Cambridge University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 183 | 32 | 57 | 11 |
The scientific interests tackled in the journal are Econometrics, Applied mathematics, Statistics, Estimator and Asymptotic distribution. While work presented in Econometric Theory provided substantial information on Econometrics, it also covered topics in Monte Carlo method and Inference. Econometric Theory facilitates discussions on Applied mathematics that incorporate concepts from other fields like Statistical hypothesis testing, Mathematical optimization, Series (mathematics) and Nonlinear system.
It tackles issues in Statistics, particularly in the topics of Unit root, Linear regression, Regression, Test statistic and Sample size determination. In the journal, Rate of convergence, Instrumental variable, Moment (mathematics) and Consistency (statistics) are investigated in conjunction with one another to address concerns in Estimator research. It explores research in Nonparametric statistics and the adjacent study of Parametric statistics.
Most of the works presented in the journal deals with Autoregressive model but it intersects with the subject of STAR model. The research on Heteroscedasticity discussed in the journal draws on the closely related field of Autoregressive conditional heteroskedasticity.
The published articles are organized to address concerns in the fields of Econometrics, Estimator, Statistics, Applied mathematics and Asymptotic distribution. The most cited articles deal with Econometrics in conjunction with Series (mathematics) and similar fields in Time series and Null (mathematics). The journal papers explore issues in Estimator which can be linked to other research areas like Regression analysis, Monte Carlo method, Inference and Sample size determination.
Econometric Theory explores disciplines such as Applied mathematics, Estimator, Econometrics, Nonparametric statistics and Inference. Issues in Applied mathematics were discussed, taking into consideration concepts from other disciplines like Delta method, Asymptotic distribution, Limit (mathematics), Monte Carlo method and Conditional expectation. Estimator research featured in the journal incorporates concerns from various other topics such as Distribution (mathematics), Least squares, Linear regression and Ordinary least squares.
Studies on Econometrics discussed in it link to the field of Predictability. The Nonparametric statistics research presented in the journal also delves into studies in intersecting subjects like
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Econometric Theory (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Econometric Theory (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 60.81% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 31.03% of all publications and 37.93% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
A closer look at the many research topics covered in Econometric Theory reveals that these studies cross many fields and professions, a prominent one being accounting. As Econometric Theory regularly explores topics in statistics, estimator research, non-parametric statistics, and inference, these topics are particularly of great interest for those pursuing an accounting career. For instance, anyone seeking to qualify as a Certified Public Accountant (CPA) would benefit from a deep understanding of these subjects. In fact, mastery of econometrics and related fields is vital to excel in the accountancy field. Fortunately for aspiring accountants in the region, several renowned schools offer quality accounting education. Discover some of the top programs at how to be a cpa in colorado. Here, you can explore different degree options aligned with the demands of today's accounting practice. Moreover, Econometric Theory and its rich repository of contents can serve as valuable resources for students in these accounting programs, providing them with broader and deeper insights. By bridging the gap between theoretical knowledge and professional application, academia and industry can foster a more potent breed of practitioners that are well-equipped to take on the future challenges in the field of accounting.
David I. Harvey;Stephen J. Leybourne;Yang Zu
(2020)Violetta Dalla;Liudas Giraitis;Peter C. B. Phillips
(2020)Alois Kneip;Léopold Simar;Paul W. Wilson
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École Nationale de la Statistique et de l'Administration Économique
Publications: 3
