Statistical monitoring systems to inform policy decision-making, and new data sources
Abstract
Statistical monitoring to inform policy decision-making is becoming increasingly important at the regional, national, European and international levels such as the United Nations SDG or the German government's strategy on well-being and the good life. Both these and other policy strategies and initiatives that are more restricted in scope are increasingly being linked to statistical indicators. The majority of these indicators are provided or called for by national statistical agencies. This is because official statistics provide a guarantee of objectivity, neutrality and a scientific basis.
This article presents an overview of emerging requirements for statistical indicators, as well as applications and publications on new data sources (often referred to as Big Data) that are relevant to official statistics. Generally speaking, Big Data represent a promising data source for official statistics. Nevertheless, some challenges still have to be met before they can be mainstreamed in official statistics.
References
[1] | Ahas R. et al., Using mobile positioning data to model locations meaningful to users of mobile phones, Journal of Urban Technology 17: (1) ((2010) ), 3-27. |
[2] | Brezzi M., and Sanchez-Serra D., Breathing the Same Air? Measuring Air Pollution in Cities and Regions, OECD Regional Development Working Papers, 2014/11, OECD Publishing. http://dx.doi.org/10.1787/5jxrb7rkxf21-en. Accessed on 4 May 2016, (2014) . |
[3] | Chew C., and Eysenbach G., Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one 5.11: e14118. https://tspace.library.utoronto.ca/bitst ream/1807/25454/1/Chew_Cynthia_M_201011_MSc_thesis. pdf. Accessed on 4 May 2016, (2010) . |
[4] | Civity, Urbane Mobilität im Umbruch, civity Management Consultants, matters no.1: Berlin. http://matters.civity.de/. Accessed on 4 May 2016, (2014) . |
[5] | Federal Statistical Office, Sustainable Development in Germany, Wiesbaden, October (2014) , 44-45. |
[6] | Federal Statistical Office, Strategie- und Programmplan, Für die Jahre 2015 bis 2019, Wiesbaden, June 2015, 13 ff, (2015) . |
[7] | Federal Statistical Office, Zufriedenheit der Bürgerinnen und Bürger in Deutschland mit behördlichen Dienstleistungen - Ausgewählte Ergebnisse der Zufriedenheitsbefragung 2015, Wiesbaden, August 2015, (2015) . |
[8] | German Federal Government, Perspectives for Germany - Our Strategy for Sustainable Development, 2002. https:// www.bundesregierung.de/Content/EN/StatischeSeiten/Schw erpunkte/Nachhaltigkeit/Anlagen/perspektives-for-germany-langfassung.pdf?__blob=publicationFile&v=1. Accessed on 17 June 2016, (2002) . |
[9] | German Federal Government, National Sustainable Development Strategy, 2012 Progress Report. http://www.bundesregi erung.de/Content/DE/_Anlagen/Nachhaltigkeit-wiederherge stellt/2012-06-07-fortschrittsbericht-2012-englisch-barrieref rei.pdf?__blob=publicationFile. Accessed on 17 June 2016, (2012) . |
[10] | Heilemann U., and Schnorr-Bäcker S., Rezession 2008/09 in Deutschland: War sie vorhersehbar? Presentation at the German Statistical Week on 17 September 2013 in Berlin, (2013) . |
[11] | Heilemann, Ullrich/Schnorr-Bäcker, Susanne, Could the start of the German recession 2008-2009 have been foreseen? Evidence from real-time data, RPF Working Paper No. 2016-003, February 16, 2016, Research Program on Forecasting, Center of Economic Research, The George Washington University, Washington DC: https://cer.columbian.gwu.edu/sites/cer.columbian.gwu.edu/files/downloads/2016-003.pdf. Accessed on 17 June (2016) . |
[12] | Holland J. et al., Measuring change and results in voice and accountability. DFID Department of International Development, United Kingdom, Working paper 34, December (2009) . |
[13] | IBM, The four V's of Big Data. IBM Big Data Hub Infografik. http://www.ibmbigdatahub.com/sites/default/files/infographic _file/4-Vs-of-big-data.jpg?cm_mc_uid=85033156291614454 204167&cm_mc_sid_50200000=1445420501. Accessed on 4 May 2016, (2014) . |
[14] | Jonge E. et al., Time patterns, geospatial clustering and mobility statistics based on mobile phone network data. Statistics Netherlands, Discussion Paper 2012, The Hague/Heerlen, (2012) . |
[15] | OECD, How's Life - Measuring Well-Being, OECD Publishing, Paris, (2011) . |
[16] | OECD, How's Life in Your Region? Measuring Regional and Local Well-being for Policy Makers, OECD Publishing. http://www.oecd-ilibrary.org/docserver/download/0414031e. pdf?expires=1444402894&id=id&accname=ocid47012051& checksum=25DAE94984CCA66088F3E1B56F856D57. Accessed on 4 May 2016, (2014) . |
[17] | Osborn D., , Cutter A., and Ullah F., Universal sustainable development goals, Understanding the Transformational Challenges for Developed Countries. Report of a study by stakeholder forum, May 2015. https://sustainabledevelopment.un. org/content/documents/1684SF_-_SDG_Universality_ Report_-_May_2015.pdf. Accessed on 4 May 2016, (2015) . |
[18] | Saluveer E., and Ahas R., Presentation for the EFGS-conference 2010 in Tallinn, Estland. http://www.efgs.info/wp-content/ uploads/conferences/efgs/2010/29_Mobile_telephones-and-mobile-positioning-data-as-source-for-population-statistics_-Erki-Saluveer-et-al.pdf Accessed on 4 May 2016, (2010) . |
[19] | Schmidt B. et al., Entlastungen spürbarer machen - Wie wird der Kontakt zur Verwaltung wahrgenommen? WISTA Wirtschaft und Statistik, 2/2015, Statistisches Bundesamt, Wiesbaden, (2015) . |
[20] | Schnorr-Bäcker S., Zukunft von Indikatorensystemen in der amtlichen Statistik. Statistisches Bundesamt: Wissenschaftliches Kolloquium 2007, 1-8. http://kolloq.destatis. de/2007/schnorr-baecker.pdf. Accessed on 4 May 2016, (2007) . |
[21] | Schnorr-Bäcker S., and Bömermann H., Regional statistical data on measuring progress, The OECD approach ``How's Life? - Measuring Well-Being'', Journal of Official Statistics Berlin Brandenburg 2/2013, (2013) . |
[22] | Schnorr-Bäcker S., Common issues on benefits and challenges of Big Data sources. Presentation for the UNSD and NBS China International Conference on Big Data for Official Statistics, 28. - 30.10.2014 in Beijing, China. http://unstats.un. org/unsd/trade/events/2014/beijing/presentations/day3/morn ing/3.%20Panel%20Discussion,%20Common%20issues-Susanne%20Schnorr-Baecker.pdf. Accessed on 11 May 2016, (2014) . |
[23] | Schnorr-Bäcker S., Regional statistical data for Germany, Europe and the world, Statistical Journal of the IAOS 32: (4) ((2016) ), 515-535. |
[24] | Stiglitz J.E., , Sen A., and Fitoussi J.-P., Report by the Commission on the Measurement of Economic Performance and Social Progress, Paris. http://www.insee.fr/fr/publications-et- services/dossiers_web/stiglitz/doc-commission/RAPPORT_ anglais.pdf. Accessed on 4 May 2016, (2009) . |
[25] | Tiru M., Overview of the sources and challenges of mobile positioning data for statistics, http://unstats.un.org/unsd/trade/ events/2014/Beijing/Margus%20Tiru%20-%20Mobile%20 Positioning%20Data%20Paper.pdf. Accessed on 4 May 2016, (2014) . |
[26] | United Nations, A new global partnership: Eradicate poverty and transform economies through sustainable development. Report of the High-Level Panel of Eminent Persons on the Post-2015 Development Agenda, New York. http://www.post2015hlp.org/wp-content/uploads/2013/05/UN-Report.pdf. Accessed on 4 May 2016, (2013) . |
[27] | UN General Assembly, Transforming our world: the 2030 Agenda for Sustainable Development, A/70/L.1, New York, 18 September 2015. http://www.un.org/ga/search/view_doc.asp?symbol=A/70/L.1&Lang=E. Accessed on 4 May 2016, (2015) . |
[28] | UN Economic and Social Council, Report of the friends of the Chair Group on broader measures of progress, February 2015. E/CN.3/2015/2, 8, (2015) . |
[29] | UN Statistical Commission, Some national, regional and international efforts and practices in the measurement of sustainable development and human well-being. Room document for the 44th Meeting of the United Nations Statistical Commission. http://unstats.un.org/unsd/statcom/doc14/BG-FOC-Broader%20measures-Practices%20on%20broader%20meas ures%20of%20progress.pdf. Accessed on 4 May 2016, (2014) . |
[30] | van Donkelaar A., , Martin R.V., , Brauer M., and Boys B.L., Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter, Environmental Health Perspectives 123: (2) (February (2015) ), 135-143. |
[31] | Wirthmann A., Big Data at Eurostat and the ESS, Presentation for the NTTS 2015, Workshop on Big Data, 9 Mar 2015, Brussels, (2015) . |
