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Journal of Official Statistics (JOS)

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.

The December special issue on Respondent Burden is now on line

Latest of JOS issue 

About JOS

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JOS archive (1985–2012)

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.

 

Publisher: Joakim Stymne

Editors-in-Chief: Suad Elezović, and Yingfu Xie 

Editor: Bengt Kopp

Editorial

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E-mail
jos@scb.se