The March Issue 2023 is now online.
Call for papers to the special issue on integrating data from multiple sources for production of official statistics.
The Journal of Official Statistics has the pleasure to announce an upcoming special issue on integrating data from multiple sources for production of official statistics from a methodological perspective. We welcome manuscripts on statistical methods related to incorporating data from new sources, such as:
- web-scraped data from online platforms and open data;
- travel surveys by GPS;
- smartphone data and data obtained by other handheld devices;
- data integration techniques for combining probability samples, non-probability samples, big data samples and similar;
- administrative data and data in public domain;
- methods for data integration such a small area & domain estimation, calibration mass imputations etc. ;
- building up infrastructure and frameworks for data integration;
- quality issues related to integrating data from multiple sources;
- and other related methods and topics.
The Guest Editors for the special issue are Johan Fosen (Statistics Norway), Anders Holmberg (Australian Bureau of Statistics), Ingegerd Jansson (Statistics Sweden), Danutė Krapavickaitė (formerly at Vilnius Gediminas Technical University), and Ton de Waal (Tilburg University).
The deadline for submission is June 30, 2023.
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 in cooperation with Statistics Norway and Statistics Finland. 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;
- index methodology;
- 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.
Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.
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)
Editorial Board/Editors Chief
Suad Elezović (Statistics Sweden)
Lilli Japec (Statistics Sweden), chair
Henri Luomaranta-Helmivuo (Statistics Finland)
Yingfu Xie (Statistics Sweden)
Li-Chun Zhang (Statistics Norway)
Bengt Kopp (Statistics Sweden)
Andridge, Rebecca. The Ohio State University, USA
Bacchini, Fabio, Italian National Institute of Statistics, Italy
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
Di Iorio, Francesca, University of Naples, Italy
Domingo-Ferrer, Josep, Rovira i Virgili University, Spain
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
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. mc.manuscriptcentral.com/joffstats.
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.