The Journal of Statistics Sweden

Journal of Official Statistics

Journal of Official Statis.

<article-title>Editorial Collaborators</article-title>

{"article-title":"Editorial Collaborators"}

Journal of Official Statistics is covered by the following services: <ul> <li> Baidu Scholar </li> <li> Cabell's Whitelist </li> <li> CNKI Scholar (China National Knowledge Infrastructure) </li> <li> CNPIEC - cnpLINKer </li> <li> Dimensions </li> <li> EBSCO </li> <li> EconBiz </li> <li> ECONIS </li> <li> ERIH PLUS (European Reference Index for the Humanities and Social Sciences) </li> <li> ExLibris </li> <li> Google Scholar </li> <li> Japan Science and Technology Agency (JST) </li> <li> J-Gate </li> <li> Journal Citation Reports/Science Edition </li> <li> Journal Citation Reports/Social Sciences Edition </li> <li> JournalGuide </li> <li> JournalTOCs </li> <li> KESLI-NDSL (Korean National Discovery for Science Leaders) </li> <li> MyScienceWork </li> <li> Naver Academic </li> <li> Naviga (Softweco) </li> <li> Norwegian Register for Scientific Journals, Series and Publishers </li> <li> QOAM (Quality Open Access Market) </li> <li> ReadCube </li> <li> Research Papers in Economics (RePEc) </li> <li> SCILIT </li> <li> SCImago (SJR) </li> <li> SCOPUS </li> <li> Semantic Scholar </li> <li> TDNet </li> <li> Ulrich's Periodicals Directory/ulrichsweb </li> <li> WanFang Data </li> <li> Web of Science - Current Contents/Social and Behavioral Sciences </li> <li> Web of Science - Science Citation Index Expanded </li> <li> Web of Science - Essential Science Indicators </li> <li> Web of Science - Social Sciences Citation Index </li> <li> WorldCat (OCLC) </li> <li> X-MOL </li> </ul>

Journal of Official Statistics ist in den folgenden Services indiziert: <ul> <li> Baidu Scholar </li> <li> Cabell's Whitelist </li> <li> CNKI Scholar (China National Knowledge Infrastructure) </li> <li> CNPIEC - cnpLINKer </li> <li> Dimensions </li> <li> EBSCO </li> <li> EconBiz </li> <li> ECONIS </li> <li> ERIH PLUS (European Reference Index for the Humanities and Social Sciences) </li> <li> ExLibris </li> <li> Google Scholar </li> <li> Japan Science and Technology Agency (JST) </li> <li> J-Gate </li> <li> Journal Citation Reports/Science Edition </li> <li> Journal Citation Reports/Social Sciences Edition </li> <li> JournalGuide </li> <li> JournalTOCs </li> <li> KESLI-NDSL (Korean National Discovery for Science Leaders) </li> <li> MyScienceWork </li> <li> Naver Academic </li> <li> Naviga (Softweco) </li> <li> Norwegian Register for Scientific Journals, Series and Publishers </li> <li> QOAM (Quality Open Access Market) </li> <li> ReadCube </li> <li> Research Papers in Economics (RePEc) </li> <li> SCILIT </li> <li> SCImago (SJR) </li> <li> SCOPUS </li> <li> Semantic Scholar </li> <li> TDNet </li> <li> Ulrich's Periodicals Directory/ulrichsweb </li> <li> WanFang Data </li> <li> Web of Science - Current Contents/Social and Behavioral Sciences </li> <li> Web of Science - Essential Science Indicators </li> <li> Web of Science - Science Citation Index Expanded </li> <li> Web of Science - Social Sciences Citation Index </li> <li> WorldCat (OCLC) </li> <li> X-MOL </li> </ul>

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: <ul> <li> web-scraped data from online platforms and open data; </li> <li> travel surveys by GPS; </li> <li> smartphone data and data obtained by other handheld devices; </li> <li> data integration techniques for combining probability samples, non-probability samples, big data samples and similar; </li> <li> administrative data and data in public domain; </li> <li> methods for data integration such a small area &amp; domain estimation, calibration mass imputations etc. ; </li> <li> building up infrastructure and frameworks for data integration; </li> <li> quality issues related to integrating data from multiple sources; </li> <li> and other related methods and topics. </li> </ul> 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. 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: <ul> <li> survey design; </li> <li> questionnaire design and evaluation; </li> <li> measurement error; </li> <li> estimation and inference; </li> <li> data collection; </li> <li> analytical uses of data; </li> <li> computer intensive methods; </li> <li> imputation; </li> <li> index methodology; </li> <li> time series analysis; </li> <li> quality aspects of official statistics production; </li> <li> confidentiality; </li> <li> total survey error; </li> <li> systems and architectures for statistics production; </li> <li> the role of statistics in today's society; </li> <li> the relations between producers, users, and respondents; and </li> <li> evaluation and identification of statistical needs. </li> </ul> 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 <ul> <li> 67% </li> </ul> Archiving Sciendo archives the contents of this journal in <a href="https://www.portico.org/">Portico</a> - digital long-term preservation service of scholarly books, journals and collections. Plagiarism Policy The editorial board is participating in a growing community of <a href="https://www.crossref.org/services/similarity-check/">Similarity Check System's</a> 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.

Publisher Joakim Stymne, Statistics Sweden, Sweden Editorial Board/Editors Chief Yngfu Xie, Statistics Sweden, Sweden Suad Elezović, Statistics Sweden, Sweden Editor Bengt Kopp, Statistics Sweden, Sweden Associate Editors 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 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 Contact <A href="mailto:jos@scb.se">jos@scb.se</A> Publisher De Gruyter Poland Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland

Manuscripts to JOS is to be submitted online via our Manuscript Management Portal. <A href="http://mc.manuscriptcentral.com/joffstats">mc.manuscriptcentral.com/joffstats</A>. 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 <A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/JOS/Instructions_for_Authors.pdf">Author Instructions</A> 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. <A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/JOS/Open_Access_License.pdf">Open Access License</A>

Journal of Official Statistics

Editorial Collaborators

Published Online: 03 Dec 2022

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

Page range: 1253 - 1257

Journal & Issue Details

Journal of Official Statistics

PDF Preview

Recent Articles

Plan your remote conference with Sciendo