
Statistical Journal of the IAOS
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world.
The main aim of the journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
The journal has an Editor-in-Chief who is responsible for ensuring that the journal focuses on current and emerging issues and challenges related to the management, production and use of official statistics and related public policy matters. The journal should publish papers of wide interest to both users and producers of official statistics. The journal should encourage papers with a focus on the basic principles for official statistics covering areas such as the importance of applying the best scientific methods, the need for statistical independence, balancing the needs of users with the burden on respondents, the continuing challenges around confidentiality, and the growing need for consistency and coherence across statistical domains and over time and for international comparability.
Authors and referees of all papers should bear in mind that many of the readers of the journal (particularly in the developing world) do not have easy access to libraries or to other journals, and therefore are strongly encouraged to make the papers as self-contained as possible, while of course giving proper bibliographic credit. Papers of more than 30 manuscript pages, including diagrams, tables and references, will normally not be considered for publication.
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed. The journal has an Editor-in-Chief who is responsible for ensuring that the journal focuses on current and emerging issues and challenges related to the management, production and use of official statistics and related public policy matters. The journal should publish papers of wide interest to both users and producers of official statistics. The journal should encourage papers with a focus on the basic principles for official statistics covering areas such as the importance of applying the best scientific methods, the need for statistical independence, balancing the needs of users with the burden on respondents, the continuing challenges around confidentiality, and the growing need for consistency and coherence across statistical domains and over time and for international comparability. As a guide, articles relating, but not exclusively, to the following broad topics will be of interest to the journal:
Developments and challenges for both global and national statistical systems
Statistical independence and legislation
New directions for official statistics
Delivering relevant and effective statistical services
New and innovative ways of increasing uses and users of official statistics
Quality of official statistics
Engagement of producers
Innovative use of ICT for official statistics
Creative use of both new and existing statistical sources
Organisation of statistical services
Statistical infrastructure and tools
Management of statistical and related meta data
Innovative statistical products and services
Training of statistical staff, users and producers
Improving statistical literacy in the community
Authors and referees of all papers should bear in mind that many of the readers of the journal (particularly in the developing world) do not have easy access to libraries or to other journals, and therefore are strongly encouraged to make the papers as self-contained as possible, while of course giving proper bibliographic credit. Papers of more than 30 manuscript pages, including diagrams, tables and references, will normally not be considered for publication.
Pietro Gennari | International Association for Official Statistics, Italy |
Pieter Everaers | |
Stephen Penneck | International Statistical Institute, United Kingdom |
Kirsten West | International Association for Official Statistics, U.S. Census Bureau, USA |
Qasem Alzoubi | Jordanian National Data Center for Science and Technology, Jordan |
Dario Buono | Eurostat, European Union (EU), Luxemburg |
Ronald Craig Burgess | World Health Organization, Switzerland |
Victor Alfredo Bustos | National Institute of Statistics and Geography of Mexico (INEGI), Mexico |
Fernando Cantu-Bazaldua | United Nations Industrial Development Organization (UNIDO), Austria |
Elisabetta Carfagna | Department of Statistical Sciences, University of Bologna, Italy |
Jose Luis Cervera Ferri | DevStat Servicios de Consultoría Estadística, Spain |
Oliver Chinganya | Africa Centre for Statistics, United Nations Economic Commission for Africa, Ethiopia |
Michele Connolly | International Group for Indigenous Health Measurement, USA |
Olivier Dupriez | The World Bank, USA |
Jean-Michel Durr | CAOS Consulting, France |
Pirmin Fessler | Austrian Central Bank, Austria |
Peter Hackl | Vienna University of Economics and Business , Austria |
Gemma van Halderen | Department of Social Services (DSS), Australian Government, Australia |
Hossein Hassani | Webster University, Austria |
Ivo Havinga | Department of Economic and Social Affairs, United Nations Statistics Division, United Nations Secretariat, USA |
Daniel Hopp | UNCTAD, Switzerland |
Ashish Kumar | Department of Mathematics & Statistics, Manipal University Jaipur, India |
Steve Mac Feely | Director of Data and Analytics, World Health Organization, Switzerland |
Asta Manninen | Statistical Journal of the International Association for Official Statistics, Finland |
Angela Me | United Nations Office on Drugs and Crime, Austria |
Kate Michalopoulou | Panteion University of Social and Political Sciences, Greece |
Reimund Mink | European Central Bank, Germany |
Hernan Daniel Munoz | FAO: UN Food and Agricultural Organisation, Sapienza University, Italy |
Per Nymand-Andersen | European Central Bank, Germany |
Francesca Perucci | Policy and Partnerships, Open Data Watch, USA |
John Pleis | National Center for Health Statistics, USA |
Megan Price | Human Rights Data Analysis Group, USA |
Aurel Schubert | Vienna University of Economics and Business, Vienna School of International Studies, Austria |
Denise Silva (Britz do Nascimento) | Brazilian Institute of Geography and Statistics (IBGE), Brazil |
Jan Smit | United Nations Economic and Social Commission for Asia and the Pacific, Thailand |
Rosanna Verde | Department of Mathematics and Physics, Università della Campania “Luigi Vanvitelli”, Italy |
Kieran Walsh | Department of Statistics ILO, Statistical Standards and Methods Unit, Switzerland |
Michael Yang | NORC, University of Chicago, USA |
Linda Young | United States Department of Agriculture, USA |
Wesley Yung | International Cooperation and Methodology Innovation Center, Statistics Canada, Canada |