| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 16 | 166 | 209 | 40 |
Economic Modelling investigates areas of study like Econometrics, Macroeconomics, Monetary economics, Monetary policy and Financial economics. The studies in Econometrics featured incorporate elements of Statistics and Sample (statistics). In the Macroeconomics research discussed, Fiscal policy, Business cycle and Investment (macroeconomics) are all tackled.
The Monetary economics research dealing mostly with Exchange rate is the focus of Economic Modelling. Issues in Monetary policy were discussed, taking into consideration concepts from other disciplines like Inflation and Interest rate. It connects the study in Financial economics with the closely related area of Stock market.
The journal articles explore disciplines such as Econometrics, Macroeconomics, Monetary economics, Financial economics and Cointegration. The published articles hold forums on Econometrics that merge themes from other disciplines such as Statistics, Estimation and Interest rate. The works on Macroeconomics tackled in the published articles bring together disciplines like Granger causality and Openness to experience.
The discussions in the journal mainly cover the fields of Monetary economics, Econometrics, China, Volatility (finance) and Monetary policy. Monetary economics research featured in Economic Modelling incorporates concerns from various other topics such as Emerging markets, Stock market, Investment (macroeconomics), Productivity and Financial crisis. While work presented in Economic Modelling provided substantial information on Econometrics, it also covered topics in Market liquidity and Portfolio.
The study on Monetary policy presented in the journal intersects with the topics under Inflation.
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 Economic Modelling (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 Economic Modelling (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, 3.93% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.40% of all publications and 69.30% 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.
In order to appreciate the relevance of economic modelling, it is important to understand the potential benefits of pursuing studies in this field. Studying Economic Modelling can lead to a rewarding career in various sectors such as academia, governmental institutions, private businesses, and research facilities. Specialists in Econometrics, Macroeconomics, Monetary Economics, and Financial Economics are in high demand due to the valuable skills they possess in data analysis and interpretation.
One of the potential career paths for Economic Modelling graduates is to become a Certified Public Accountant (CPA). Although it may not be the traditional route, the skillset acquired from studying Economic Modelling could equip graduates with profound analytical skills that form a solid background for a CPA. With focal points such as Econometrics, Monetary Economics, and Macroeconomics, graduates could be well equipped to handle complex financial analysis which is a crucial part of a CPA job.
Before embarking upon a career path, consider the specific requirements of becoming a CPA in your state. For example, if you are considering becoming a CPA in Alaska, you can read our guide on how to become a cpa in Alaska for an insightful look into the process.
Jie Li;Yu Wu;Jing Jian Xiao
(2020)Syed Jawad Hussain Shahzad;Elie Bouri;David Roubaud;Ladislav Kristoufek
(2020)Juan C. Reboredo;Andrea Ugolini
(2020)Akhtaruzzaman;Sabri Boubaker;Brian M. Lucey;Brian M. Lucey;Brian M. Lucey;Ahmet Sensoy
(2021)Chih-Yang Cheng;Mei-Se Chien;Chien-Chiang Lee
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