AHEAD OF PRINT

Volume 39 (2023): Issue 4 (December 2023)

Volume 39 (2023): Issue 3 (September 2023)

Volume 39 (2023): Issue 2 (June 2023)

Volume 39 (2023): Issue 1 (March 2023)

Volume 38 (2022): Issue 4 (December 2022) Special Issue on Respondent Burden

Volume 38 (2022): Issue 3 (September 2022)

Volume 38 (2022): Issue 2 (June 2022)

Volume 38 (2022): Issue 1 (March 2022) Special Issue on Price Indices in Official Statistics

Volume 37 (2021): Issue 4 (December 2021)

Volume 37 (2021): Issue 3 (September 2021) Special Issue on Population Statistics for the 21st Century

Volume 37 (2021): Issue 2 (June 2021) Special Issue on New Techniques and Technologies for Statistics

Volume 37 (2021): Issue 1 (March 2021)

Volume 36 (2020): Issue 4 (December 2020)

Volume 36 (2020): Issue 3 (September 2020) Special Issue on Nonresponse

Volume 36 (2020): Issue 2 (June 2020)

Volume 36 (2020): Issue 1 (March 2020)

Volume 35 (2019): Issue 4 (December 2019) Special Issue on Measuring LGBT Populations

Volume 35 (2019): Issue 3 (September 2019)

Volume 35 (2019): Issue 2 (June 2019)

Volume 35 (2019): Issue 1 (March 2019)

Volume 34 (2018): Issue 4 (December 2018)

Volume 34 (2018): Issue 3 (September 2018) Special Section on Responsive and Adaptive Survey Design

Volume 34 (2018): Issue 2 (June 2018) Special Issue on Establishment Surveys (ICES-V)

Volume 34 (2018): Issue 1 (March 2018)

Volume 33 (2017): Issue 4 (December 2017)

Volume 33 (2017): Issue 3 (September 2017) Special Issue on Responsive and Adaptive Survey Design

Volume 33 (2017): Issue 2 (June 2017) Special Issue on Total Survey Error (TSE)

Volume 33 (2017): Issue 1 (March 2017)

Volume 32 (2016): Issue 4 (December 2016) Special Section on The Role of official Statistics in Statistical Capacity Building

Volume 32 (2016): Issue 3 (September 2016)

Volume 32 (2016): Issue 2 (June 2016)

Volume 32 (2016): Issue 1 (March 2016)

Volume 31 (2015): Issue 4 (December 2015)

Volume 31 (2015): Issue 3 (September 2015) Special Issue on Coverage Problems in Administrative Sources

Volume 31 (2015): Issue 2 (June 2015) Special Issue on New Techniques and Technologies for Statistics

Volume 31 (2015): Issue 1 (March 2015)

Volume 30 (2014): Issue 4 (December 2014) Special Issue on Establishment Surveys

Volume 30 (2014): Issue 3 (September 2014)

Volume 30 (2014): Issue 2 (June 2014) Special Issue on Surveying the Hard-to-Reach

Volume 30 (2014): Issue 1 (March 2014)

Volume 29 (2013): Issue 4 (December 2013)

Volume 29 (2013): Issue 3 (September 2013)

Volume 29 (2013): Issue 2 (June 2013)

Volume 29 (2013): Issue 1 (March 2013)

Journal of Official Statistics

 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 &amp; 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;   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%      Archiving   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. 

Journal of Official Statistics

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