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Oxford Bulletin of Economics and Statistics
H-index 13

Oxford Bulletin of Economics and Statistics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Economics and Finance 146 48 55 13

Additional Metrics

Number of Best Scientists*: 57
Documents by Best Scientists*: 60
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 88
SCIMAGO SJR: 0.984
Impact Factor: 1.4

Overview

Top Research Topics at Oxford Bulletin of Economics and Statistics?

Econometrics, Labour economics, Statistics, Macroeconomics and Monetary economics are among the topics commonly tackled in Oxford Bulletin of Economics and Statistics. The work on Econometrics tackled in it brings together disciplines like Estimator, Monte Carlo method and Inflation. Issues in Labour economics were discussed, taking into consideration concepts from other disciplines like Earnings and Unemployment.

Statistics research presented is mostly focused on the subject of Unit root. The Monetary economics research dealing mostly with Monetary policy is the focus of it.

  • Econometrics (34.08%)
  • Labour economics (16.35%)
  • Statistics (14.58%)

What are the most cited papers published in the journal?

  • MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (10992 citations)
  • A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test (4639 citations)
  • Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors (3496 citations)

Research areas of the most cited articles at Oxford Bulletin of Economics and Statistics:

The published papers tackle a plethora of topics, such as Econometrics, Statistics, Labour economics, Cointegration and Macroeconomics. The journal papers hold forums on Econometrics that merge themes from other disciplines such as Estimator and Monte Carlo method. The journal articles with studies in Statistics featured incorporate elements of Null (mathematics) and Series (mathematics).

What topics the last edition of the journal is best known for?

  • Statistics
  • Law
  • China

The previous edition focused in particular on these issues:

The topics of Econometrics, Monetary economics, Inflation, Shock (economics) and Autoregressive model are the focal point of discussions in Oxford Bulletin of Economics and Statistics. The studies in Econometrics featured incorporate elements of Consumption (economics), Recession and Investment (macroeconomics). Oxford Bulletin of Economics and Statistics explores research in Business cycle and overlapping concepts in Youth unemployment to expand the discourse in Inflation.

The research on Shock (economics) tackled can also make contributions to studies in the areas of Monetary policy, Sample (statistics) and Financial crisis. Oxford Bulletin of Economics and Statistics explores topics in Autoregressive model which can be helpful for research in disciplines like Cauchy distribution, Least squares, Applied mathematics and Unit root. The presentations focused mostly on Test (assessment) in an attempt to further explore topics in Statistics.

The most cited articles from the last journal are:

  • Better Night Lights Data, For Longer* (4 citations)
  • Gender Gaps in the Evaluation of Research: Evidence from Submissions to Economics Conferences (4 citations)
  • The Good and Bad Volatility: A New Class of Asymmetric Heteroskedastic Models (3 citations)

Papers citation over time

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 Oxford Bulletin of Economics and Statistics (based on the number of publications) are:

  • David F. Hendry (19 papers) absent at the last edition,
  • John Knight (14 papers) absent at the last edition,
  • Sanjaya Lall (12 papers) absent at the last edition,
  • Joakim Westerlund (12 papers) absent at the last edition,
  • A. M. Robert Taylor (10 papers) absent at the last edition.

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 Oxford Bulletin of Economics and Statistics (based on the number of publications) are:

  • University of Oxford (82 papers) absent at the last edition,
  • University of Nottingham (38 papers) published 1 paper at the last edition,
  • University of Warwick (33 papers) absent at the last edition,
  • University of Essex (32 papers) absent at the last edition,
  • London School of Economics and Political Science (25 papers) absent at the last edition.

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.

Publication chance based on affiliation

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, 2.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 5.97% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.40% of all publications and 62.69% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Educational Background of Authors

The significance of the topics addressed in Oxford Bulletin of Economics and Statistics extends to graduate level education in economics and related disciplines. Understanding the educational background of the authors contributing to the journal can provide insights into the interpretative lens through which these topics are addressed, and the methods of investigation employed. Generally, authors are drawn from top-ranking institutions worldwide, with a concentration in leading economics research universities. Many of these authors hold PhDs in Economics or related disciplines, with specific research focus areas in Labour economics, Econometrics, Macroeconomics, and Monetary economics – the core areas of the journal.

Some of these institutions offer dedicated postgraduate programs in these disciplines that equip students with the analytical skills to dissect complex economic issues. One such program is one of the best accounting programs in Kentucky which offers in-depth courses on labour economics and econometrics

. Overall, the high educational and institutional standards of the Oxford Bulletin of Economics and Statistics contributors assures readers of the rigorous intellectual scrutiny that the featured research topics have undergone.

Top Publications

  • Elasticities and the Inverse Hyperbolic Sine Transformation

    Marc F. Bellemare;Casey J. Wichman

    (2020)
    1101 Citations
  • Measuring Smile Curves in Global Value Chains

    Bo Meng;Ming Ye;Ming Ye;Shang‐Jin Wei

    (2020)
    132 Citations
  • A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

    OlaOluwa S. Yaya;Ahamuefula E. Ogbonna;Fumitaka Furuoka;Luis A. Gil‐Alana;Luis A. Gil‐Alana

    (2021)
    64 Citations
  • The Impact of Tropical Storms on Households: Evidence from Panel Data on Consumption

    Michael Henry;Nekeisha Spencer;Eric Strobl

    (2020)
    36 Citations
  • Better Night Lights Data, For Longer*

    John Gibson

    (2021)
    35 Citations

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Best Scientists Contributing to This Journal

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