| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 213 | 24 | 47 | 10 |
The journal explores disciplines such as Econometrics, Productivity, Data envelopment analysis, Production (economics) and Microeconomics. In it, Statistics and Inefficiency are investigated in conjunction with one another to address concerns in Econometrics research. Estimator is the primary subject of Statistics works presented in it.
While work presented in the journal provided substantial information on Inefficiency, it also covered topics in Sample (statistics) and Stochastic frontier analysis. Journal of Productivity Analysis facilitates discussions on Productivity that incorporate concepts from other fields like Index (economics) and Labour economics. Topics in Data envelopment analysis were tackled in line with various other fields like Efficient frontier, Productive efficiency and Operations research.
Production (economics) research discussed connects with the study of Estimation. Journal of Productivity Analysis explores topics in Microeconomics which can be helpful for research in disciplines like Industrial organization and Function (engineering). The journal links adjacent topics like Nonparametric statistics with Parametric statistics.
The journal articles cover a variety of subjects, including Econometrics, Data envelopment analysis, Productivity, Inefficiency and Production (economics). The published papers discuss concepts in Panel data and Nonparametric statistics under Econometrics and how they intertwine with disciplines like Frontier. The journal publications address concerns in Productivity which are intertwined with other disciplines, such as Index (economics) and Industrial organization.
The journal investigates areas of study like Econometrics, Production (economics), Productivity, Performance measurement and Joint (building). Aside from investigating topics in Panel data under Econometrics, the journal also explores concepts in Frontier. Topics in Production (economics) explored in the journal were investigated in conjunction with research in Allocative efficiency, Divestment and Inefficiency.
While Journal of Productivity Analysis focused on Productivity, it was also able to explore topics like Geometric mean and Order (exchange). Quality (business), Numbering and Risk analysis (engineering) are some topics wherein Performance measurement research discussed in the journal have an impact. The journal deals with Productive efficiency in conjunction with other fields 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 Journal of Productivity Analysis (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 Productivity Analysis (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, 8.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.13% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.70% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.74% of all publications and 30.43% 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.
Along with understanding the research findings published in established journals like the Journal of Productivity Analysis, it is crucial for budding economists and microeconomists to grasp the importance of education in these fields. An optimal approach to these studies involves looking at various academic pathways. Scholars interested in these disciplines often pursue an undergraduate degree in economics or a related field, followed by a master's degree in economics, microeconomics, or econometrics. Ultimately, a Ph.D. in their area of interest, such as Productivity or Data Envelopment Analysis, can considerably enhance their research abilities and qualify them for high-ranking academic and research positions. A number of schools offer these degree programs across the United States. Aspiring Certified Public Accountants (CPAs), in particular, must meet specific educational requirements in addition to passing a rigorous examination. This is typically along with gaining some years of experience under the supervision of a licensed CPA. The pathway to becoming a CPA varies by state, so students must ensure they understand the specifics of their location. For instance, scholars in New Jersey can learn more about the requirements in their state from this guide on how to become a CPA in New Jersey. In conclusion, understanding the educational journey towards becoming a microeconomic or econometrics professional can significantly ease the process of entering these challenging and rewarding sectors.
Léopold Simar;Paul W. Wilson
(2020)Camilla Mastromarco;Léopold Simar
(2021)Binlei Gong;Robin C. Sickles
(2020)Finn R. Førsund
(2021)Almas Heshmati;Almas Heshmati;Masoomeh Rashidghalam
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