| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 168 | 36 | 37 | 12 |
The journal generally zeroes in on subjects such as Econometrics, Estimator, Mathematical optimization, Nonparametric statistics and Applied mathematics. Issues in Econometrics were discussed, taking into consideration concepts from other disciplines like Statistics, Inference and Identification (information). The main emphasis of it is the research on Statistics, emphasizing the topic of Covariate.
Quantitative Economics focuses on Estimator research which is adjacent to topics in Monte Carlo method. The work on Mathematical optimization tackled in it brings together disciplines like Dynamic stochastic general equilibrium and Discrete choice. It links adjacent topics like Nonparametric statistics with Common value auction.
The study on Applied mathematics presented in the journal intersects with the topics under Moment (mathematics).
The journal papers primarily focus on research topics in Econometrics, Mathematical optimization, Estimator, Consumption (economics) and Applied mathematics. The most cited papers hold forums on Econometrics that merge themes from other disciplines such as Statistics, Labour economics and Preference (economics). While Applied mathematics is the focus of the most cited articles, it also provides insights into the studies of Mixture model and Identification (information).
The main points discussed in the journal deals with Econometrics, Inference, Test (assessment), Applied mathematics and Estimator. Capital asset pricing model is a focus of the Econometrics works in it. The journal focuses on Inference but the discussions also offer insight into other areas such as Bayesian probability, Bayesian inference, Algorithm, Confidence and prediction bands and Moment (mathematics).
In it, Developmental psychology, Actuarial science and Lottery are investigated in conjunction with one another to address concerns in Test (assessment) research. While it focused on Applied mathematics, it was also able to explore topics like Standard algorithms and Saddle. The close relationship between Monte Carlo method and Variables and Linear regression is one of the points of interest dissected in Estimator research.
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 Quantitative Economics (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 Quantitative Economics (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, 30.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.78% of all publications and 16.67% 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.
This article so far has discussed various research topics, most cited papers, and numerous other aspects of quantitative economics. But what could be missing is a section discussing the career prospects for those in the field of quantitative economics. Understanding what future doors a degree in this field can open is essential for both prospective and current students. Graduates who hold a degree in quantitative economics can find rewarding career prospects in numerous sectors, such as finance, government agencies, consulting firms, and many more. One of the key job roles for these degree holders is becoming a Certified Public Accountant (CPA). In many organizations, individuals with CPA certification are given the responsibility to take care of all the accounting needs, ensuring the financial health of the organization is maintained. Here is a guide on the best accounting schools in missouri. Let's also not forget that a solid foundation in quantitative economics can lead to exciting roles in academia and research. As this field of study continues to grow, numerous research opportunities are also burgeoning in this sector once you have built a solid grounding in important topics of the subject. Research in Quantitative Economics offers the chance to contribute to this ever-evolving field and help to shape economic policies and practices. Remember, the choice of career ultimately depends on an individual's interests and goals. Whether you're considering becoming a CPA or a research scholar in quantitative economics, make sure the career aligns with your passion and skillset.
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(2020)Iavor Bojinov;Ashesh Rambachan;Neil Shephard
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