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Record W4389146122 · doi:10.1111/roiw.12667

Review of income and wealth report of the editors 2022–2023

2023· article· en· W4389146122 on OpenAlexaboutno aff
Conchita D’Ambrosio

Bibliographic record

VenueReview of Income and Wealth · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsCitationImpact factorLibrary sciencePovertyPolitical scienceHistoryLawComputer science

Abstract

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This is the fourth editorial report of the Review of Income and Wealth from the current editorial team, Conchita D'Ambrosio and D.S. Prasada Rao, under a five-year editorial contract with IARIW commenced on 1st August 2019. This report covers the period from 1st August 2022 to 31st July 2023. One Supplement Issue based on papers presented at the special IARIW-WB Conference (7–9 November, 2022, Washington, D.C.) on “New Approaches to Defining and Measuring Poverty in a Growing World” (guest edited by Dean Jolliffe, Grazia Pittau and John Gibson) has been published. Table 1 reports information on citations and impact factor of the Review. The total number of citations of articles in the Review in SSCI journals exhibits a generally increasing trend with 911 in 2015; 1106 in 2016; 1348 in 2017, 1566 in both 2018 and 2019, 2237 in 2020, 2143 in 2021 and 2207 in 2022. The long citation half-life of 9.6 years in 2022 (see also Figure 1) indicates that articles in the Review are cited for a long time, suggesting the presence of seminal articles that are still cited decades later. The number of impact citations showed a decreasing trend registered between 2015 and 2017 - 111 in 2015, 100 in 2016, 92 in 2017. Since 2018, we observe an increase from 129 citations in 2018, to 157 citations in 2019, to 208 citations in 2020, to 213 citations in 2021, to 265 in 2022 in SSCI journals to articles published in the Review in 2020 and 2022. Figure 2 shows trends in the Impact Factor over the editorial years 2017 to 2022. With the exception of the 2018 editorial year, the Impact Factor is characterized by an increasing trend; it went from 1.211 in 2017 to 2.122 in 2020. The big jump registered in 2020 was partly due to the inclusion in the statistics of the Early Access content into the JCR. This created a temporary increase in the journal impact factor across the JCR since the numerator takes into account citations from Early Access articles, while Early Access articles continued to be excluded from the denominator. As clearly explained on the Wiley Network: “Clarivate's ‘phased approach’ may cause a temporary boost in Impact Factors (followed by a return to the previous trend). Initial estimates suggest that the boost may be up to 12%, but this may be inflated due to the faster indexing of Early Access content. This boost is unlikely to be maintained, so it is very possible that many journals will see a decrease in Impact Factors in subsequent years.” This year, the IF is 2, gaining 0.6 points from 2019 and 0.1 points from 2021. Table 2 reports the status of the dossiers belonging to regular issues as of July 31, 2022 and for each editorial year since 2017. Only 2 papers from the editorial year 2020/2021 and 5 papers from the editorial year 2021/2022 are still pending. In the current editorial year only 7 papers have been accepted and 48 papers are pending awaiting referee assessment. The rejection rate followed a decreasing trend between 2017/2018 and 2021/2020: from the initial 92% in 2017/2018 to 86% in 2019/2020. It remained stable at 87% in 2020/2021 and increased to 89% in 2021/2022. In the current editorial years it is 82% but it is likely to go up when final decisions on the 48 pending manuscripts are made. The editors aim to have rejection rates around 85%. Table 3 shows the decision time of the dossiers, distinguishing between first decision and final decision. Papers are grouped as follows: papers receiving first or final decision within 3 months; papers receiving first or final decision between four and 6 months; papers receiving first or final decision between 7 and 9 months; papers receiving first or final decision between 10 and 12 months; papers receiving first or final decision in more than 12 months. The response time to get a first decision increased from the previous editorial year. Table 3 shows that about 76% of submitted papers have received a first response within 3 months, decreasing by seven percentage points with respect to the 84% registered in the previous editorial year, and about 88% in less than 6 months. Time for the total review process in 2022–2023 decreased compared to previous years, with about 82% of submitted papers receiving a final decision in less than 6 months compared to 88% and 87% in 2021–2022 and 2020–2021, respectively. If we restrict the sample to the rejected papers only, the response time is on average less than 1 month (27 days), and only 10 days on average for the papers that are summarily-rejected. We have 48 original papers in the backlog awaiting to appear in print. We publish 10 papers in each Volume, thus in 5 volumes, all these papers will be published. On average in the last editorial year, the waiting time between the acceptance and the publication date is around 18 months while the waiting time between the acceptance and the publication date on Early View is about 2 months. Table 4 reports the distribution of submissions across topics. The share of submissions focused on national accounting increases from 11.4% in 2021/22 to 14.6% in 2022/23. Measurement of poverty, inequality, and income distribution continue to be popular, although slightly decreasing with a number of submissions being 42. The percentage of submissions during this editorial year dealing with International and intertemporal analysis of income, wealth, and productivity, reduced to 31.2% in the current editorial year. The topic Related problems of measurement and statistical methodology marginally increased to 6.4%, it was 4.4% in the previous editorial year. The distribution of manuscripts according to their geographical origin, reported in Table 4, shows that 46.5% comes from Europe, slightly decreasing from previous years that were around 50%. The share of submissions from North America increased to 15.3%, while for the editorial year 2021–2022 it was 10.8%. The share of submissions from Asia is stable compared to the previous editorial year and represents 28.3% in the current editorial year. The share of submissions from Africa increased to 4.5% while submissions from Oceania marginally decreased to 2.8% in the editorial year 2022–2023. The share of submissions from South America experienced a decrease of 2.2 percentage points from 4.2% to 2% in the last two editorial years. Tables 5 and 6 help investigate the topics of submissions to the ROIW according to their JEL-code classifications. All JEL codes nominated by the authors are taken into account (a list that can vary from 1 to 10 codes). To each JEL code inserted by the authors, a weight equal to the reciprocal of the number of codes found in the list is assigned, so that each manuscript has a weight of one regardless of the number of JEL codes inserted. The table includes only the choices that have a total weight of two or more (in at least 1 year) while the percentage are computed based on all the JEL codes mentioned. This classification confirms the importance of distributional topics as well as measurement issues at the micro level as key topics of submissions. Increases in subscription prices have been kept to a minimum in the past 5 years, reflecting the policy of the Association to maximize readership of the Review. Financially, the Review continues to be on a sound footing. We would like to thank the IARIW, including particularly Andrew Sharpe and the IARIW Secretariat at CSLS, for their support throughout the past year. We also thank the team at Wiley-Blackwell for their constructive cooperation, efficient production and effective management of all publishing-related matters. We also want to thank members of the editorial board as well as the many referees without whom running such a peer-reviewed publication would not be possible. We are grateful to Gemma Riera Mallol and Alessio Rebechi (University of Luxembourg) for taking care of the administration of the editorial office. Editors Conchita D'Ambrosio, Dept. of Behavioural and Cognitive Sciences, Université du Luxembourg, Luxembourg. D.S. Prasada Rao, School of Economics, The University of Queensland, Australia. Review Articles Editor Thesia I. Garner, Bureau of Labor Statistics, Washington DC, USA. Editorial Office Alessio Rebechi, University of Luxembourg, Luxembourg. Gemma Riera Mallol, University of Luxembourg, Luxembourg. Editorial Board Gordon Anderson, Canada Bert Balk, Netherlands Sanghamitra Bandyopadhyay, UK Sonia Bhalotra, UK Frits Bos, Netherlands Walter Bossert, Canada Alberto Cavallo, USA Satya R. Chakravarty, India Andrew E. Clark, France Carol Corrado, USA Thomas Crossley, UK Koen Decancq, Belgium Mark de Haan, Netherlands Erwin Diewert, Canada Francisco Ferreira, USA Dennis Fixler, USA Kevin Fox, Australia Barbara Fraumeni, USA Jonathan Haskel, UK Robert Hill, Austria Charles Yuji Horioka, Japan Robert Inklaar, Netherlands Markus Jäntti, Sweden Stephen P. Jenkins, UK David S. Johnson, USA Arthur Kennickell, USA Casilda Lasso de la Vega, Spain Joachim Merz, Germany Leonard Nakamura, USA Mary O'Mahony, UK Lars Osberg, Canada Nick Oulton, UK Flaviana Palmisano, Italy Vito Peragine, Italy Shelley Phipps, Canada Alicia Rambaldi, Australia Ranjan Ray, Australia Marshall Reinsdorf, USA Nicholas Rohde, Australia Friedrich Schneider, Austria Paul Schreyer, France Andrew Sharpe, Canada Dan Sichel, USA Jacques Silber, Israel Marcel Timmer, Netherlands Bart van Ark, UK Edward Wolff, USA Roberto Zelli, Italy Kim Zieschang, USA

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.512
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.369
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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