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Aims & Scope
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed. The journal has an Editor-in-Chief who is responsible for ensuring that the journal focuses on current and emerging issues and challenges related to the management, production and use of official statistics and related public policy matters. The journal should publish papers of wide interest to both users and producers of official statistics. The journal should encourage papers with a focus on the basic principles for official statistics covering areas such as the importance of applying the best scientific methods, the need for statistical independence, balancing the needs of users with the burden on respondents, the continuing challenges around confidentiality, and the growing need for consistency and coherence across statistical domains and over time and for international comparability. As a guide, articles relating, but not exclusively, to the following broad topics will be of interest to the journal:
- Developments and challenges for both global and national statistical systems
- Statistical independence and legislation
- New directions for official statistics
- Delivering relevant and effective statistical services
- New and innovative ways of increasing uses and users of official statistics
- Quality of official statistics
- Engagement of producers
- Innovative use of ICT for official statistics
- Creative use of both new and existing statistical sources
- Organisation of statistical services
- Statistical infrastructure and tools
- Management of statistical and related meta data
- Innovative statistical products and services
- Training of statistical staff, users and producers
- Improving statistical literacy in the community
Authors and referees of all papers should bear in mind that many of the readers of the journal (particularly in the developing world) do not have easy access to libraries or to other journals, and therefore are strongly encouraged to make the papers as self-contained as possible, while of course giving proper bibliographic credit. Papers of more than 30 manuscript pages, including diagrams, tables and references, will normally not be considered for publication.
International Association for Official Statistics
General and Interview Editor
International Association for Official Statistics
Jordanian National Data Center for Science and Technology, Jordan
Emphasis area: Social and Financial Statistics
UN Industrial Development Organization (UNIDO)
Emphasis area: Governance in international Official Statistics
University of Bologna
Department of Statistical Sciences
Emphasis area: Statistical methods and applied academic statistics
Institut National de la Statistique et des Etudes Economiques (INSEE) Paris,
Emphasis area: Cooperation and Capacity Development in Statistics
Gemma Van Halderen
United Nations Economic and Social Commission for Asia and the Pacific
Emphasis area: Strategic and Managerial Issues of Official Statistics/Ethics
Institute of Energy Management and Planning (RIEMP), University of Tehran
Emphasis Editor - Artificial Intelligence, Machine Learning, Big Data Research
UNCTAD, Geneva, Switzerland
Emphasis Editor - Network analysis, Artificial Intelligence, Nowcasting/Forecasting
Director of Data and Analytics, World Health Organization
Emphasis Area: International trade statistics, Development
Statistical Journal of the International Association for Official Statistics
Emphasis area: Dissemination and General and Regional Statistics
Hernan Daniel Munoz
FAO: UN Food and Agricultural Organisation, Sapienza University
Emphasis area: Governance in Official Statistics
Emphasis area: Central Bank Statistics, Communication, Data Science, Fintech and alternative data sources
Department of Mathematics and Physics
Università della Campania "Luigi Vanvitelli"
Emphasis area: Data Science and Classification and Prediction methods
NORC, University of Chicago
Chicago, IL, USA
Emphasis Area: Survey Methodology; Statistical Disclosure
Business Source Complete
Cabell's Guide or Directory
Ulrich's Periodicals Directory
By default, articles published in Statistical Journal of the IAOS are available only to institutions and individuals with access rights. However, the journal offers all authors the option to purchase open access publication for their article as part of the IOS Press Open Library. This means that the final published version will be freely available to anyone worldwide, indefinitely, under a Creative Commons license and without the need to purchase access to the article. This is also referred to as “gold” open access.
Gold open access pricing
Authors who choose gold open access publication will be subject to an article publication charge of € 1500 / US$ 1500 for publication under the CC BY-NC 4.0 license or € 2150 / US$ 2150 for publication under the CC BY 4.0 license. Pricing is exclusive of possible taxes. After an article is accepted for publication, the corresponding author will be informed regarding the open access option during the production stages, and will have the opportunity to purchase open access for their article. It could be that the open access fee of an article is waived completely due an institutional agreement IOS Press has with the corresponding authors' institution. Please check the institutional agreements page for details.
Green open access
Authors who do not make use of the gold open access option may still make their article freely available using self-archiving, also referred to as green open access. Authors may make their final accepted manuscript available for free download from their personal or institutional website or institutional archive. This model is free for the author.
Peer Review Process and Process for Appeals
The Statistical Journal of the IAOS operates a rigorous, timely, blinded peer review process (with an option for double-blind if requested) by experts in the field. Please visit our reviewer guidelines for further information about how to conduct a review.
All submitted manuscripts are automatically screened for plagiarism through iThenticate. Manuscripts submitted to The Statistical Journal of the IAOS will be assessed for suitability for publication in the journal by the Editor-in-Chief. Manuscripts that are deemed unsuitable may be rejected without peer review by the Editor-in-Chief and/or the Associate Editors, and the author will be informed as soon as possible. Manuscripts that are deemed suitable for peer review are forwarded to an Associate Editor with expertise in that area who then recruits appropriate anonymous referees (a minimum of two) for confidential review. Referee reports are then assessed by the Associate Editor, who makes a decision which is then subject to approval of the Editors-in-Chief. Once approved this decision is then conveyed to the author along with the referee’s anonymized reports. The initial decision will be one of the following: rejection, acceptance without revision, or potentially acceptable after minor or major revisions.
Revised manuscripts will be appraised by the Associate Editor, who may seek the opinion of referees (prior or new) before making a decision, which again is subject to approval of the Editors-in-Chief.
Once approved, this decision is then conveyed to the author along with the anonymized referee’s reports. Once accepted, manuscripts are normally published on-line without delay and appear in the next available print issue (published quarterly). The Editor-in-Chief has ultimate responsibility for what is published in the journal. Authors may appeal decisions by contacting the Editor-in-Chief (at firstname.lastname@example.org). Authors will be informed in writing of the result of their appeal.
Discover the contents of the latest journal issue:
The post-pandemic new normal for central bank statistics
Bruno Tissot, Saira Jahangir-Abdoelrahman
Beyond the binary: Sex and gender diversity in population projections
Rachel Jeffreson, Peta Darby
What holds us together? Measuring dimensions of social cohesion in Canada
David Wavrock, Samuel MacIsaac, Grant Schellenberg
Investigating the effect of inflation on the consumption pattern of Iranian households
Mina Mansouri, Abbas Moradi, Ayoub Faramarzi, Kaveh Kiani