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Call for Papers: Special Issue of the Statistical Journal of the International Association for Official Statistics

Please consider submitting a paper for a special issue of the Journal of the International Association for Official Statistics on urban, regional and small area statistics.

Papers dealing with geographical and other breakdowns of official statistics related to relevant urban and regional planning, territorial and targeted policies on various levels of government are welcome. Papers dealing with the challenges and solutions of integration of geospatial and statistical data are most welcome.

The call embraces also new and evolving uses of small area statistics, e.g., easy access and open access to official statistics of high granularity showing the importance of official statistics in facilitating citizens’ participation.

The deadline for submitting a manuscript is December 1st, 2016.

All submissions will go through the SJIAOS review process.

For information about manuscript preparation and the submission process, please see

Authors are requested to submit their manuscript electronically to the journal’s editorial management system. The length of the manuscript would preferably be 10 -15 pages including tables, graphs and references.

Special issue editor: Ms Asta Manninen, Member of the SJIAOS Editorial Board, [email protected]


Click here, for more information on the Statistical Journal of the IAOS, or visit

Open Paper on Bayesian Methods by Professor Rod Little:

Dear colleague,

Most of us producing official statistics have been trained to use frequentist inference. That has been the tradition since near the beginning of Official Statistics, hundreds of years ago. But, maybe, it is time for us to apply Bayesian Methods more in our practice. To this end I asked Professor Little, pictured, to submit one of his papers on Bayesian Methods. His open paper in this issue is the result. In it, he gives us a wonderful example of how Bayesian Statistics can operate in the world of Official Statistics. Take a look at his application.

Permit me also to highlight two more December papers. The first is another article by Statistics without Borders (SwB). Again, SwB is applying statistics in a crisis when Official Statistical resources are taxed beyond the breaking point. The SwB paper in the December issue, also open, is about the earthquake in Nepal and details the world response to that disaster, emphasizing the role the SwB statisticians played.

SwB is currently working on the worldwide refugee crisis (the theme of our September issue). Sadly matters have worsened since September. We would welcome examples from our fellow professionals, in SwB or from elsewhere, that would teach or inspire us on
how to better live our highest values as official statisticians.

The second article (and picking this to talk about was a hard choice too) is about the concern that income and wealth inequality has been growing at least in the developed world. The paper is by Victor Alfredo Bustos from Mexico, entitled “Estimation of the distribution of income from survey data, adjusting for compatibility with other sources”.
There is an accompanying comment by Christine Faulkner. We would welcome comments by others on this and would, after refereeing, be happy to publish them in future issues of the journal.

To close off this editorial, may we remind you that if you want access to all the papers in the December issue you can become an IAOS member. Now, to become a member of the IAOS is easy and inexpensive. It, among other things, provides you full (personal) online access to the journal each year (and all the published back issues).

For 2016 the IAOS membership fee for members from developed countries is EUR 25 and from developing countries, EUR 8. For Individuals who are already IAOS Institutional members the fee (for individual membership) is EUR 5. The IAOS application form is available at

If you have any questions concerning the membership please contact Mrs. Margaret de Ruiter-Molloy at [email protected].


DOI: 10.3233/SJI-150948

Interview with Paul Cheung
West, Kirsten
DOI: 10.3233/SJI-150926

Introduction to the Janet Norwood memorial papers
West, Kirsten
DOI: 10.3233/SJI-150933

Tribute to Janet L. Norwood
Norwood, Peter
DOI: 10.3233/SJI-150936

Remembering Janet L. Norwood
Norwood, Stephen H.
DOI: 10.3233/SJI-150934

A legacy of objectivity
Plewes, Thomas J.
DOI: 10.3233/SJI-150937

Remarks in honor of Janet Norwood
Citro, Constance F.
DOI: 10.3233/SJI-150935

Professional independence and accountability of statistical agencies are crucial: A brief history of the Greek official statistics
Michalopoulou, Catherine
DOI: 10.3233/SJI-150940

How can professional and ethical frameworks strengthen statisticians in their practical work?
von Oppeln-Bronikowski, Sibylle | Kronz, Christine | Meinke, Irina | Wirtzfeld, Hannah
DOI: 10.3233/SJI-150941

Influence of governance issues on the quality of official statistics
Outrata, Edvard
DOI: 10.3233/SJI-150942

From paper to EQ: Impact of introducing a new collection mode in a business survey
Léger, Danielle | Jang, Leon
DOI: 10.3233/SJI-150943

Comment on the paper “The Policeman and the statistician: On the quality of the raw data in official statistics”
Granath, Sven
DOI: 10.3233/SJI-150932

Tam, Siu-Ming | Wall, Carrollyn | Whelan, Sarah | Zhang, Mark
DOI: 10.3233/SJI-150931

Predicting earthquake fatalities in Nepal
Newton, Elizabeth | Teran, Javier | Wolcott, Michiko | Velasquez, Loren | Anggraeni, Dita | Dai, Yao | Cocolicchio, Brian
DOI: 10.3233/SJI-150945

Calibrated Bayes, an inferential paradigm for official statistics in the era of big data
Little, Roderick J.
DOI: 10.3233/SJI-150944

Estimation of the distribution of income from survey data, adjusting for compatibility with other sources
Bustos, Alfredo
DOI: 10.3233/SJI-150923

More on data sources for estimating income inequality in the United States: A Bustos sequel
Faulkner, Christina M.
DOI: 10.3233/SJI-150946

Lean Six Sigma at Statistics Netherlands
Smekens, Marret | Zeelenberg, Kees
DOI: 10.3233/SJI-150930

Innovating to do more with less – the story of Lean Six Sigma in the Central Statistics Office, Ireland
McSweeney, Keith | Moore, Ken
DOI: 10.3233/SJI-150929

Discussant comments on the paper “Innovating to do more with less – the story of Lean Six Sigma in the Central Statistics Office, Ireland”
Reedman, Laurie
DOI: 10.3233/SJI-150928

Comments on the paper “Innovating to do more with less – the story of Lean Six Sigma in the Central Statistics Office, Ireland”
Biemer, Paul
DOI: 10.3233/SJI-150927

Mass appraisal at the census level: Israeli case
Fleishman, Larisa | Gubman, Yury
DOI: 10.3233/SJI-150939

Different methods to complete datasets used for capture-recapture estimation: Estimating the number of usual residents in the Netherlands
Gerritse, Susanna C. | Bakker, Bart F. M. | van der Heijden, Peter G. M.
DOI: 10.3233/SJI-150938

Adapting Labour Force Survey questions from interviewer-administered modes for web self-completion in a mixed-mode design
Betts, Peter | Cubbon, Ben
DOI: 10.3233/SJI-150914

Satisfaction with official statistics producers
Steenvoorden, Tina | Řvigelj, Tanja | Bavdaž, Mojca
DOI: 10.3233/SJI-150912

Statistical governance in the Latin American and the Caribbean Region: Achievements and challenges
Martín-Guzmán, Pilar | Aguilera, M.
DOI: 10.3233/SJI-150907

On the interpretation of multi-year estimates of the American Community Survey as period estimates
Nagaraja, Chaitra H. | McElroy, Tucker
DOI: 10.3233/SJI-150884

Author Index Volume 31 (2015)

Statistics and Evaluation

The drive to evidence-based policies and decisions – whether in government or for large organisations outside it – should be good news for the statistics community. But is it? The commitment to (better) statistics in consequence has seen renewed investment in major survey and data projects, and to a limited extent the hint of a reverse of the conspicuous decline in employment of data base and survey skills close to policy areas of government. But only a hint; the farming out of research has seen close alliances between policy arms of government and a few key centres of policy research in the corporate and academic sectors, by definition at a distance from the data resource . Statisticians have been retained in maintenance capacity to service the production of ‘evidence’ framed in terms of research agendas.

Having got that off my chest, there is now the opportunity for fruitful collaboration between this rump of the profession (well represented I hope among prospective active participants in the S&M Section) and the somewhat more recent splendid regiment of evaluators, those people usually within an organisation whose remit is to test what is working, and to advise management on the health and direction of its spending programmes. The evaluators are represented professionally by the Australasian Evaluation Society, whose activities parallel ours (without our mathematical baggage but with across Tasman enrichment). Where there is potential for cross over is in the methods of evaluation; professional ethics; training; and jointly sponsored events.

One such candidate event is being put forward for Canberra in July, immediately after the ASC (and taking advantage of an ASC visiting speaker’s presence in the country), namely a seminar on the re-engineering of the US Bureau of Labour Statistics’ Survey of Income and Program Participation. It is hoped that this would attract people from both communities on a subject with dual resonance.

Further such possibilities will depend on you, and what you would be interested in attending or organising. Let me know. [email protected]


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