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Journal of Official Statistics

The Journal of Statistics Sweden
Journal Details
access type Requires Authentication
First Published
01 Oct 2013
Publication timeframe
4 times per year
Journal Subjects
Mathematics, Probability and Statistics
Journal Metrics
Impact Factor
Five Year Impact Factor
Cite Score

The September 2022 issue of Journal of Official Statistics is now on line.

Call for papers to the special issue on time series analysis in official statistics

The Journal of Official Statistics has the pleasure to announce a coming special issue on time series analysis in official statistics in a broad perspective. Very welcome are research work on time series modelling with potential applications in official statistics; seasonal adjustment and related subjects; forecasting and backcasting using time series models; impact of shocks to time series caused by for example pandemics, wars, or other causes; time series break with redesign of surveys; temporal or contemporaneous disaggregation and reconciliation; analysis of high frequency data or other type of time series data; time series privacy; and other related topics.

The Guest Editors for the special issue are William R Bell (U.S. Census Bureau), Tommaso Di Fonzo (University of Padova, Italy), Dominique Ladiray (INSEE and Eurostat, France), Tucker McElroy (U.S. Census Bureau), and Paul Smith (University of Southampton, UK).

The deadline for submission to this special issue is September 30, 2023.

The Journal of Official Statistics (JOS) is a quarterly peer-reviewed scientific journal published by Statistics Sweden. JOS publishes research articles on survey methodology and other aspects of production of official statistics. The intended readers are researchers and practitioners in academia, government, business or research organisations with an interest in survey methodology and production of official statistics.

Articles on the following topics are included:
methodologies and policies for the collection, processing, and analysis of data and the presentation and dissemination of statistics, based on traditional surveys, censuses, registers, or new and emerging types of data sources. Articles may present theoretical and methodological contributions, relevant applications of existing methods, comparisons of different methods, or authoritative reviews.

Such topics include:

  • survey design;
  • questionnaire design and evaluation;
  • measurement error;
  • estimation and inference;
  • data collection;
  • analytical uses of data;
  • computer intensive methods;
  • imputation;
  • index methodology;
  • time series analysis;
  • quality aspects of official statistics production;
  • confidentiality;
  • total survey error;
  • systems and architectures for statistics production;
  • the role of statistics in today's society;
  • the relations between producers, users, and respondents; and
  • evaluation and identification of statistical needs.

Apart from research articles, the journal also considers research notes, comments on recent articles, and other communications in a shorter format for publication.

Research notes report interesting findings ready for publication. They should be shorter than regular articles. The requirements for completeness and detail in the analysis and presentation are less strict, but are subject to the same high standards as for other articles and the same review process applies.

Letters to the editor provides a forum for airing opinions on issues pertinent to the statistical community or commentaries on articles that have appeared in the journal.

JOS has a book review section and an index that appears at the end of every volume.

Rejection Rate

  • 67%


Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.

Joakim Stymne, Statistics Sweden, Sweden

Editorial Board/Editors Chief
Yngfu Xie, Statistics Sweden, Sweden
Suad Elezović, Statistics Sweden, Sweden

Production Editor
Bengt Kopp, Statistics Sweden, Sweden

Associate Editors
Andridge, Rebecca. The Ohio State University, USA
Baffour, Bernard, Australian National University, Australia
Bakker, Bart, F.M. VU University Amsterdam and Statistics Netherlands, the Netherlands
Bates, Nancy, A. U.S. Census Bureau, USA
Berzofsky, Marcus, RTI International, USA
Bijak, Jakub, University of Southampton, UK
Cantwell, Patrick J., U.S. Census Bureau, USA
Cappelli, Carmela, University of Naples, Italy
Chauvet, Guillaume, ENSAI, France
Chipperfield, James, ABS, Australia
Chun, Asaph Young, U.S. Census Bureau, USA
Cohen, Michael P., Consultant, USA
Dagum, Estela B., Consultant, USA
Dalén, Jörgen, Consultant, Sweden
Dalla Valle, Luciana, University of Plymouth, UK
De Leeuw, Edith D, Utrecht University, Belgium
Dever, Jill, A., RTI International, USA
Di Iorio, Francesca, University of Naples, Italy
Domingo-Ferrer, Josep, Rovira i Virgili University, Spain
Eckman, Stephanie, Institute for Employment Research, Germany
Edwards, Teresa P., University of North Carolina, USA
Elliott, Duncan, Office for National Statistics, UK
Eltinge, John L., U.S Census Bureau, USA
Elvers, Eva, Statistics Sweden, Sweden
Holmberg, Anders, ABS, Australia
Karlberg, Martin, Eurostat, Luxembourg
Karlsson, Sune, Örebro University, Sweden
Kott, Phillip S., RTI International, USA
Krsinich, Frances, Ministry of Business, New Zealand
Liang, Yuli, Örebro University, Sweden
Marker, David A., Westat, Inc., USA
Matei, Alina, University of Neuchâtel, Switzerland
Meinfelder, Florian, Otto-Friedrich-University of Bamberg, Germany
Mulry, Mary, H. U.S. Census Bureau, USA
Nyquist, Hans, Stockholm University, Sweden
Ranalli, Maria, University of Perugia, Italy
Ribe, Martin, Statistics Sweden, Sweden
Sakshaug, Joe, IAB, Germany
Salgado, David, Complutense University of Madrid, Spain
Schierholz, Malte, Germany
Schouten, Barry, Statistics Netherlands, the Netherlands
Si, Yajuan, University of Michigan, USA
Smith, Paul, University of Southampton, UK
Ståhl, Olivia, Statistics Sweden, Sweden
Thompson, Jenny, U.S. Census Bureau, USA
Tzavidis, Nikos, University of Southampton, UK
Wagner, James, University of Michigan, USA
Zanutto, Elaine L., National Analysts Worldwide, USA
Zhang, Li-Chun, University of Southampton, UK and Statistics Norway, Norway


De Gruyter Poland
Bogumiła Zuga 32A Str.
01-811 Warsaw, Poland

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Manuscripts to JOS is to be submitted online via our Manuscript Management Portal.

If you submit for the first time, create an account from "New User?" menu to the right. Go to your Author Centre and follow the steps for submission.

Please check the Author Instructions before submission.

To publish in Journal of Official Statistics, authors are not required to pay an Article Processing Charge.

Authors will be asked to sign and submit the A Creative Commons (CC) license before the article is published.

Open Access Statement

The journal is an Open Access journal that allows a free unlimited access to all its contents without any restrictions upon publication to all users.

Open Access License

Journal Details
access type Requires Authentication
First Published
01 Oct 2013
Publication timeframe
4 times per year
Journal Subjects
Mathematics, Probability and Statistics
Journal Metrics
Impact Factor
Five Year Impact Factor
Cite Score

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