Submissions

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Author Guidelines

Authors are invited to submit reviews of the economic literature that may take the form of surveys, meta-analyses, bibliometric, scientometric, or informetric studies of this literature. Submissions should provide critical analyses of the literature that offer substantiated conclusions of interest to specialists and interested readers.

Authorship
All authors must have given their consent prior to submission and have made significant contributions to the submitted manuscript. Changes in authorship, after the initial submission process, must be justified and approved by an editor.

Conflicts of Interest
Authors who have real or perceived conflicts of interest (or competing interests) in a manuscript submission, are required to disclose the nature and extent of the interest.

Use of Artificial Intelligence (AI) Tools
Authors who use AI tools in the writing of a manuscript, production of images and/or graphical elements of the paper, or in the collection and analysis of data, must disclose how AI tools were used, and which tools were used. Authors are fully responsible for the content of their manuscript, even those parts produced by AI tools, and are thus liable for any breach of publication ethics.

Data and Reproducibility
Authors of empirical studies, in which data have been collected, used, and analyzed, will be asked to provide a data availability statement (DAS). The DAS must contain information about the data, programs, and other details of the computations sufficient to permit replication. If data cannot be made open, authors must state why in the data availability statement.

Submissions should adhere to the following:

  1. Falls roughly between 10,000-15,000 words in length with references.

  2. Is readable by those working outside the economic specialization represented by the works reviewed.

  3. Provides:
    • A concise and exact title.
    • An abstract with the purpose, methods, findings, and conclusion that will appeal to relevant peer reviewers.
    • References formatted according to the APA Style Guide.
    • If a meta-analysis or bibliometric review, includes search terms, databases searched (with dates), and a PRISMA flow diagram.
    • If a study that is subject to review by the authors’ research ethics committees, identifies the committee’s approval as part of the manuscript.
  4. Authors have:
    •  Anonymized citations of their work and other points of referral (including removal from the title page, file name and file creation details) for review purposes.
    • Obtained permission (or met required terms) for the publication of copyrighted material, such as tables and figures, photos, documents, and datasets.
    • Saved the article text in PDF format for submission.

If a meta-analysis paper is submitted, the data (in STATA, R or Excel format) and related code, must be made available in an open-access data and code repository. See (Havránek et al., 2020) for guidelines.

For a bibliometric review, the data and any specialized code must be made available in an open-access data and code repository, and the guidelines from section 2.3 (Abramo and Oxley, 2021) must be followed.

How to ensure the integrity of anonymous peer-review

Prior to submitting and uploading a file authors should check to see if the following steps have been taken with regard to the text and the file properties:

  • The authors of the document have deleted their names from the text, with "Author" and year used in the references and footnotes, instead of the authors' name, article title, etc.
  • The authors of the document have removed personal information from the file properties by taking the following steps:
    • Microsoft Word for Windows:
      • Go to File
      • Select Info
      • Click on Check for Issues
      • Click on Inspect Document
      • In the Document Inspector dialog box, select the check boxes to choose the type of hidden content that you want inspected.
      • Click Remove All
      • Click Close
      • Save the document
    • Microsoft Word for MacOS:
      • Go to Tools
      • Click Protect Document
      • Select Remove personal information for this file on save
      • Click OK and save the file
    • PDF:
      • Go to File
      • Select Properties
      • Remove any name in the author field
      • Click OK
      • Save the document

For the journal’s editorial policies and practices, publishing ethics, copyright, and other matters, see Policies.

Submission Preparation Checklist

All submissions must meet the following requirements:

  • The submission is anonymized.  This includes the file name, author name(s) removed from the article text and from the file creation details.
  • The article text is to be submitted in PDF format for review purposes.
  • The submission meets the requirements outlined in the Author Guidelines.
  • The language and contents of the contribution are original.
  • The submission has not been previously published.  It is not before another journal for consideration.
  • All references have been checked for accuracy and completeness.
  • All tables and figures have been numbered and labeled.
  • Permission has been obtained to publish all photos, datasets, and previously published material provided with the submission.
  • The contribution contains no unlawful or libelous matter and does not invade the privacy or infringe upon the common law or statutory rights of anyone.
  • A separate page lists the artificial intelligence (AI) tools used, and how they were used.
  • Conflicts of interest (or competing interests) statements have been obtained from all authors.

Articles

Please submit your article for review.

Copyright Notice

Authors retain copyright of their work and grant REL right of first publication with the work simultaneously licensed under a Creative Commons Attribution CC BY-NC 4.0 License. This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.

Privacy Statement

Reviews of Economic Literature collects data from participants in the journal that is required to provide services to authors, readers, reviewers, and editorial team members and to publish the journal’s content involving the following activities:
  • Registering with the journal
  • Submitting articles
  • Peer reviewing
  • Editing, copyediting, typesetting, or proofing of accepted articles
  • Publishing accepted articles
  • Emailing notifications
The following personal data is collected from participants in the journal:
  • First name and last name
  • Email address
  • Affiliation
  • Country
  • ORCID ID
We share some of this data with persons external to the journal management and publishing processes for the following purposes only:
  • Editing, copyediting, typesetting, or proofing of accepted articles
  • Registering accepted manuscripts with Crossref
  • Plagiarism checks of submitted papers (we only provide manuscript files, no other data)
  • Claiming a certain level of support or readership
Published articles include authors’ name, affiliation, email address, and ORCID ID.
We compile aggregate statistics, which we may share with external persons, to monitor journal performance.
The controller for personal information on the journal’s management and publishing platform is the Public Knowledge Project (PKP), Simon Fraser University, see the PKP Privacy Policy.