| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 63 | 72 | 97 | 23 |
The journal mostly deals with topics like Econometrics, Statistics, Estimator, Series (mathematics) and Applied mathematics. The studies in Econometrics featured incorporate elements of Estimation and Bayesian probability. The studies tackled, which mainly focus on Statistics, apply to Inference as well.
The Applied mathematics study featured in Journal of Business & Economic Statistics draws connections with the study of Mathematical optimization. More specifically, the research on Volatility (finance) in Journal of Business & Economic Statistics is related to Stochastic volatility. Studies on Heteroscedasticity discussed in the journal link to the field of Autoregressive conditional heteroskedasticity.
The journal papers tackle a plethora of topics, such as Econometrics, Statistics, Estimator, Series (mathematics) and Autoregressive model. Econometrics research in the most cited papers involves the investigation of Estimation studies, all of which are linked to disciplines such as Panel data. The most cited publications focus on Statistics research which is adjacent to topics in Autoregressive conditional heteroskedasticity.
The aim of Journal of Business & Economic Statistics is to expand the discussion of research in Econometrics, Statistics, Applied mathematics, Inference and Estimation. The presentations discussing Econometrics offer insights in topics such as Nonparametric statistics, Volatility (finance), Quantile regression, Quantile and Panel data. It covers research in Statistics, particularly Estimator, Covariate, Confidence interval and Instrumental variable and how they are related with concepts in Local average.
In Journal of Business & Economic Statistics, Bayesian probability, Regression analysis, Series (mathematics) and Moment (mathematics) are investigated in conjunction with one another to address concerns in Applied mathematics research. Most of the works presented in the journal deals with Inference but it intersects with the subject of Regression. Journal of Business & Economic Statistics focuses on Estimation research which is adjacent to topics in Principal component analysis.
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 Journal of Business & Economic Statistics (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 Journal of Business & Economic Statistics (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, 2.48% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.92% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.30% of all publications and 45.86% 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.
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