The September 2019 issue of Journal of Official Statistics is now on line.
Call for papers
We invite submissions to the JOS Special Issue: “Population statistics for the 21st century” The aim of the special issue is to present cutting-edge innovations in the methodology and applications relevant for official population statistics, in order to help the users of statistical products better address the challenges of the 21st century.
We invite submissions especially in the following areas, the list of topics being non-exhaustive: Key concepts in population statistics, Methods for demographic estimation and forecasting, Specific areas of application, Production of official population statistics and Cross-cutting methodological themes. Deadline for submissions is September 30, 2019.
Special Issue Guest Editors Jakub Bijak, Professor of Statistical Demography, University of Southampton, United Kingdom John R Bryant, Senior Researcher, Statistics New Zealand, Christchurch, New Zealand Elżbieta Gołata, Professor and Pro-Rector, Poznań University of Economics and Business, Poland and Steve Smallwood, Office for National Statistics, United Kingdom
Special Issue: Population statistics for the 21st century Reliable population statistics are indispensable for many crucial areas of public policy and planning worldwide. At the same time, the world is changing rapidly, with population processes gaining pace and acquiring new forms, such as the increasingly fluid mobility and migration. Novel technologies, data sources and analytical methods offer new, better than ever opportunities to deal with the demographic challenges of the future. The role of official population statistics in addressing these challenges – from aiding humanitarian relief for victims of wars and environmental catastrophes, to ensuring sustainability of social security systems for the decades to come – is fundamental.
The aim of the special issue is to present cutting-edge innovations in the methodology and applications relevant for official population statistics, in order to help the users of statistical products better address the challenges of the 21st century.
We invite submissions especially in the following areas, the list of topics being non-exhaustive:
1. Key concepts in population statistics To make the official demographic statistics fit for the 21st century, the key concepts related to populations and their dynamics need to be revisited and updated. To that end, we welcome rigorous papers or letters, addressing the conceptual issues related to defining populations, residence, migrants and migration events, urban and rural areas, and so on. We envisage that successful papers in this category would include concrete recommendations that can form a base for further discussions on international statistical fora.
2. Methods for demographic estimation and forecasting We invite methodological papers dealing with various aspects of official population statistics. Specific topics regarding estimation under this theme include: methods for small area statistics, the design and use of methods for register-based and census-based estimates, as well as census methodology as such – from full count to register-based or sample-based enumeration. We also invite contributions on forecasts or projections of populations, households, as well as individual components of demographic change. Papers exploring innovative methods, such as offering statistical versions of indirect demographic estimation, the use of administrative sources, ‘Big data’, and data linkages in population statistics are also welcome.
3. Specific areas of application On the applied side, we encourage submissions offering specific solutions to key challenges of official statistics in specific areas of demographic and population-related applications. They may include methods for the individual components of demographic change, specific populations or subpopulations, as well as studying populations across different dimensions (such as health, education, migration or ethnic background, and so on).
4. Production of official population statistics We welcome submissions concerned with the statistical infrastructure, production and dissemination of population statistics. This broad category can include papers looking into the practical aspects of making efficient use of new data sources, increasing data availability to the users, integration of different data, geo-referencing, or visualisation of population statistics. Papers demonstrating practical solutions to specific computational, organisational and practical challenges are particularly encouraged.
5. Cross-cutting methodological themes Finally, we encourage papers on cross-cutting methodological themes in official population statistics. These can include, but are not limited to, comparisons of statistical approaches for different demographic applications, such as Bayesian versus frequentist, or model-based versus design-based methods. More broadly, papers on various applications of methods of statistical demography in official statistics, with their challenges and opportunities, are welcome.
JOS is an open access journal. For more information about JOS, see www.jos.nu For all articles of JOS, see the JOS-archive.
Deadline for submissions is September 30, 2019.
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