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:
questionnaire design and evaluation;
estimation and inference;
analytical uses of data;
computer intensive methods;
time series analysis;
quality aspects of official statistics production;
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.
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.
Editors-in-Chief Ingegerd Jansson, Statistics Sweden, Sweden Karin Kraft, Statistics Sweden, Sweden Suad Elezović, Statistics Sweden, Sweden
Production Manager Bengt Kopp, Statistics Sweden, Sweden
Associate Editors Andridge, Rebecca. The Ohio State University, USA Bakker, Bart, F.M. VU University Amsterdam and Statistics Netherlands, The Netherlands Bates, Nancy, A. U.S. Census Bureau, USA Beatty, Paul C., U.S. Census Bureau, USA Biemer, Paul P., RTI International, USA Bijak, Jakub, University of Southampton, UK Cantwell, Patrick J., U.S. Census Bureau, USA Chun, Asaph Young, U.S. Census Bureau, USA Cohen, Michael P., Consultant, USA Dagum, Estela B., Consultant, USA Dalén, Jörgen, email@example.com, Sweden Dalla Valle, Luciana, University of Plymouth, UK Dever, Jill, A., RTI International, USA Domingo-Ferrer, Josep, Rovira i Virgili University, Spain Drechsler, Jörg, Institute for Employment Research, Germany Eckman, Stephanie, Institute for Employment Research, Germany Edwards, Teresa P., University of North Carolina, USA Eltinge, John L., U.S Census Bureau, USA Elvers, Eva, Statistics Sweden; Sweden Holmberg, Anders, Statistics Norway, Norway Karlberg, Martin, Eurostat Karlsson, Sune, Örebro University, Sweden Kasprzyk, Daniel, NORC at the University of Chicago, USA Kott, Phillip S., RTI International, USA Laitila, Thomas, Statistics Sweden, Sweden De Leeuw, Edith D., Utrecht University, The Netherlands Marker, David A., Westat, Inc., USA Matei, Alina, University of Neuchâtel, Switzerland Mulry, Mary, H. U.S. Census Bureau, USA Nyquist, Hans, Stockholm University, Sweden Olson, Kristen, University of Nebraska-Lincoln, USA Ranalli, Maria, University of Perugia, Italy Ribe, Martin, Statistics Sweden, Sweden Salgado, David, Statistics Spain (INE) and Complutense University of Madrid, Spain Sakshaug, Joe, University of Manchester, UK Schouten, Barry, Statistics Netherlands, The Netherlands Smith, Paul, University of Southampton, UK Thompson, Jenny, U.S. Census Bureau, USA Tzavidis, Nikos, University of Southampton, UK Wagner, James, University of Michigan, USA Willis, Gordon B., Consultant, USA Zanutto, Elaine L., National Analysts Worldwide, USA Zhang, Li-Chun, University of Southampton, UK and Statistics Norway, Norway
Book Review Editor McCarthy, Jaki S., USDA/NASS, U.S.A