The Statistics Newsletter for the Extended OECD Statistical Network
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List of Participants
List of participants Conference of European Statisticians 69th Plenary Session, hybrid Wednesday, June 23 – Friday 25 June 2021 Registered participants Governments Albania Ms. Elsa DHULI Director General Institute of Statistics Ms. Vjollca SIMONI Head of International Cooperation and European Integration Sector Institute of Statistics Albania Argentina Sr. Joaquin MARCONI Advisor in International Relations, INDEC Mr. Nicolás PETRESKY International Relations Coordinator National Institute of Statistics and Censuses (INDEC) Elena HASAPOV ARAGONÉS National Institute of Statistics and Censuses (INDEC) Armenia Mr. Stepan MNATSAKANYAN President Statistical Committee of the Republic of Armenia Ms. Anahit SAFYAN Member of the State Council on Statistics Statistical Committee of RA Australia Mr. David GRUEN Australian Statistician Australian Bureau of Statistics 1 Ms. Teresa DICKINSON Deputy Australian Statistician Australian Bureau of Statistics Ms. Helen WILSON Deputy Australian Statistician Australian Bureau of Statistics Austria Mr. Tobias THOMAS Director General Statistics Austria Ms. Brigitte GRANDITS Head International Relation Statistics Austria Azerbaijan Mr. Farhad ALIYEV Deputy Head of Department State Statistical Committee Mr. Yusif YUSIFOV Deputy Chairman The State Statistical Committee Belarus Ms. Inna MEDVEDEVA Chairperson National Statistical Committee of the Republic of Belarus Ms. Irina MAZAISKAYA Head of International Cooperation and Statistical Information Dissemination Department National Statistical Committee of the Republic of Belarus Ms. Elena KUKHAREVICH First Deputy Chairperson National Statistical Committee of the Republic of Belarus Belgium Mr. Roeland BEERTEN Flanders Statistics Authority Mr. Olivier GODDEERIS Head of international Strategy and coordination Statistics Belgium 2 Bosnia and Herzegovina Ms. Vesna ĆUŽIĆ Director Agency for Statistics Brazil Mr. Eduardo RIOS NETO President Instituto Brasileiro de Geografia e Estatística - IBGE Sra. -
UNWTO/DG GROW Workshop Measuring the Economic Impact Of
UNWTO/DG GROW Workshop Measuring the economic impact of tourism in Europe: the Tourism Satellite Account (TSA) Breydel building – Brey Auditorium Avenue d'Auderghem 45, B-1040 Brussels, Belgium 29-30 November 2017 LIST OF PARTICIPANTS Title First name Last name Institution Position Country EU 28 + COSME COUNTRIES State Tourism Committee of the First Vice Chairman of the State Tourism Mr Mekhak Apresyan Armenia Republic of Armenia Committee of the Republic of Armenia Trade Representative of the RA to the Mr Varos Simonyan Trade Representative of the RA to the EU Armenia EU Head of balance of payments and Ms Kristine Poghosyan National Statistical Service of RA Armenia foreign trade statistics division Mr Gagik Aghajanyan Central Bank of the Republic of Armenia Head of Statistics Department Armenia Mr Holger Sicking Austrian National Tourist Office Head of Market Research Austria Federal Ministry of Science, Research Ms Angelika Liedler Head of International Tourism Affairs Austria and Economy Department of Tourism, Ministry of Consultant of Planning and Organization Ms Liya Stoma Sports and Tourism of the Republic of Belarus of Tourism Activities Division Belarus Ms Irina Chigireva National Statistical Committee Head of Service and Domestic Trade Belarus Attachée - Observatoire du Tourisme Ms COSSE Véronique Commissariat général au Tourisme Belgium wallon Mr François VERDIN Commissariat général au Tourisme Veille touristique et études de marché Belgium 1 Title First name Last name Institution Position Country Agency for statistics of Bosnia -
Eurostat: Recognized Research Entity
http://ec.europa.eu/eurostat/web/microdata/overview This list enumerates entities that have been recognised as research entities by Eurostat. In order to apply for recognition please consult the document 'How to apply for microdata access?' http://ec.europa.eu/eurostat/web/microdata/overview The researchers of the entities listed below may submit research proposals. The research proposal will be assessed by Eurostat and the national statistical authorities which transmitted the confidential data concerned. Eurostat will regularly update this list and perform regular re-assessments of the research entities included in the list. Country City Research entity English name Research entity official name Member States BE Antwerpen University of Antwerp Universiteit Antwerpen Walloon Institute for Evaluation, Prospective Institut wallon pour l'Evaluation, la Prospective Belgrade and Statistics et la Statistique European Economic Studies Department, European Economic Studies Department, Bruges College of Europe College of Europe Brussels Applica sprl Applica sprl Brussels Bruegel Bruegel Center for Monitoring and Evaluation of Center for Monitoring and Evaluation of Brussels Research and Innovation, Belgian Science Research and Innovation, Service public Policy Office fédéral de Programmation Politique scientifique Centre for European Social and Economic Centre de politique sociale et économique Brussels Policy Asbl européenne Asbl Brussels Centre for European Policy Studies Centre for European Policy Studies Department for Applied Economics, -
United Nations Fundamental Principles of Official Statistics
UNITED NATIONS United Nations Fundamental Principles of Official Statistics Implementation Guidelines United Nations Fundamental Principles of Official Statistics Implementation guidelines (Final draft, subject to editing) (January 2015) Table of contents Foreword 3 Introduction 4 PART I: Implementation guidelines for the Fundamental Principles 8 RELEVANCE, IMPARTIALITY AND EQUAL ACCESS 9 PROFESSIONAL STANDARDS, SCIENTIFIC PRINCIPLES, AND PROFESSIONAL ETHICS 22 ACCOUNTABILITY AND TRANSPARENCY 31 PREVENTION OF MISUSE 38 SOURCES OF OFFICIAL STATISTICS 43 CONFIDENTIALITY 51 LEGISLATION 62 NATIONAL COORDINATION 68 USE OF INTERNATIONAL STANDARDS 80 INTERNATIONAL COOPERATION 91 ANNEX 98 Part II: Implementation guidelines on how to ensure independence 99 HOW TO ENSURE INDEPENDENCE 100 UN Fundamental Principles of Official Statistics – Implementation guidelines, 2015 2 Foreword The Fundamental Principles of Official Statistics (FPOS) are a pillar of the Global Statistical System. By enshrining our profound conviction and commitment that offi- cial statistics have to adhere to well-defined professional and scientific standards, they define us as a professional community, reaching across political, economic and cultural borders. They have stood the test of time and remain as relevant today as they were when they were first adopted over twenty years ago. In an appropriate recognition of their significance for all societies, who aspire to shape their own fates in an informed manner, the Fundamental Principles of Official Statistics were adopted on 29 January 2014 at the highest political level as a General Assembly resolution (A/RES/68/261). This is, for us, a moment of great pride, but also of great responsibility and opportunity. In order for the Principles to be more than just a statement of noble intentions, we need to renew our efforts, individually and collectively, to make them the basis of our day-to-day statistical work. -
The Capability Approach and Well-Being Measurement for Public Policy
Oxford Poverty & Human Development Initiative (OPHI) Oxford Department of International Development Queen Elizabeth House (QEH), University of Oxford OPHI WORKING PAPER NO. 94 The Capability Approach and Well-Being Measurement for Public Policy Sabina Alkire* March 2015 Abstract This chapter presents Sen’s capability approach as a framework for well-being measurement with powerful and ongoing relevance to current work on measuring well-being in order to guide public policy. It discusses how preferences and values inform the relative weights across capabilities, then draws readers’ attention to measurement properties of multidimensional measures that have proven to be policy-relevant in poverty reduction. It presents a dual-cutoff counting methodology that satisfies these principles and outlines the assumptions that must be fulfilled in order to interpret ensuing indices as measuring capability poverty. It then discusses Bhutan’s innovative extension of this methodology in the Gross National Happiness Index and reflects upon whether it might be suited to other contexts. It closes with some remarks on relevant material in other Handbook chapters. Keywords: capability approach, Amartya Sen, preferences, ordinal data, relative weights, AF dual-cutoff counting methodology, multidimensional poverty, Bhutan’s Gross National Happiness Index. JEL classification: D60, I30, I32, A13 Acknowledgements This is a chapter 'The Capability Approach' drafted for Oxford Handbook on Well-being and Public Policy. The early sections of this chapter drew on a 2008 unpublished background note for the Sarkozy Commission. I am grateful to Amartya Sen, James Foster, and Enrica Chiappero-Martinetti for discussion and comments; I am also grateful to participants in the March 2014 Handbook workshop for * Oxford Poverty & Human Development Initiative, Oxford Department of International Development, University of Oxford, 3 Mansfield Road, Oxford OX1 3TB, UK, +44-1865-271915, [email protected]. -
Measuring Well-Being and Progress: Looking Beyond
Measuring well-being and progress Looking beyond GDP SUMMARY Gross domestic product (GDP), a measure of national economic production, has come to be used as a general measure of well-being and progress in society, and as a key indicator in deciding a wide range of public policies. However GDP does not properly take into account non-economic factors such as social issues and the environment. In the aftermath of the economic and financial crisis, the European Union (EU) needs reliable, transparent and convincing measures for evaluating progress. Indicators of social aspects that play a large role in determining citizens' well-being are increasingly being used to supplement economic measures. Health, education and social relationships play a large role in determining citizens' well-being. Subjective evaluations of well-being can also be used as a measure of progress. Moreover, changes in the environment caused by economic activities (in particular depletion of non-renewable resources and increased greenhouse gas emissions) need to be evaluated so as to ensure that today's development is sustainable for future generations. The EU and its Member States, as well as international bodies, have a role in ensuring that we have accurate, useful and credible ways of measuring well-being and assessing progress in our societies. In this briefing: Background Objective social indicators Subjective well-being Environment and sustainability EU and international context Further reading Author: Ron Davies, Members' Research Service European Parliamentary Research Service 140738REV1 http://www.eprs.ep.parl.union.eu — http://epthinktank.eu [email protected] Measuring well-being and progress Background The limits of GDP Gross domestic product (GDP) measures the market value of all final goods and services produced within a country's borders in a given period, such as a year.1 It provides a simple and easily communicated monetary value that can be calculated from current market prices and that can be used to make comparisons between different countries. -
Alternatives and Complements to GDP-Measured Growth As a Framing Concept for Social Progress
Life Beyond Growth Alternatives and Complements to GDP-Measured Growth as a Framing Concept for Social Progress 2012 Annual Survey Report of the Institute for Studies in Happiness, Economy, and Society — ISHES (Tokyo, Japan) Commissioned by Produced by Published by Table of Contents Preface 4 A Note on Sources and References 7 Introduction 8 Chapter 1: The Historical Foundations of Economic Growth 13 Chapter 2: The Rise (and Possible Future Fall) of the Growth Paradigm 17 Chapter 3: The Building Blocks of the Growth Paradigm 24 Chapter 4: Alternatives to the Growth Paradigm: A Short History 29 Chapter 5: Rethinking Growth: Alternative Frameworks and their Indicators 34 Chapter 6: Looking Ahead: The Political Economy of Growth in the Early 21st Century 50 Chapter 7: Concluding Reflections: The Ethics of Growth and Happiness, and a Vision for the Future 65 References & Resources 67 2 Dedication Dedication This report is dedicated to the memory of Donella H. “Dana” Meadows (1941-2001), lead author of The Limits to Growth and a pioneering thinker in the area of sustainable development and ecological economics. Dana, throughout her life, managed not only to communicate a different way of thinking about economic growth and well-being, but also to demonstrate how to live a happy and satisfying life as well. 3 Preface Preface “Life Beyond Growth” began as a report One week later, on 11 March 2011, the depth and commissioned by the Institute for Studies in breadth of those unresolved questions expanded Happiness, Economy, and Society (ISHES), based in enormously. In the series of events known in Japan Tokyo, Japan. -
In-Depth Review of the Role of the Statistical Community in Climate Action
Informal document 21/Add.1 English only (A summary document carrying symbol ECE/CES/2020/21 is available in English, French and Russian on the web page of the 68th CES plenary session) Economic Commission for Europe Conference of European Statisticians Sixty-eighth plenary session Geneva, 22-24 June 2020 Item 9 of the provisional agenda Coordination of international statistical work in the United Nations Economic Commission for Europe region: outcomes of the recent in-depth reviews carried out by the Bureau of the Conference of European Statisticians In-depth review of the role of the statistical community in climate action Note by the Steering Group on climate change-related statistics and the Secretariat Summary This document is a full version of the in-depth review paper on the role of the statistical community in climate action. The in-depth review was mandated by the Bureau of the Conference of European Statisticians (CES) to examine the role of the statistical community in providing data and statistics for climate action. The document presents an analysis of the policy frameworks in place, an overview of multiple international activities related to climate change statistics and data, a description of country practices regarding the involvement of national statistical offices in climate change-related statistics, and a list identified issues and challenges. The last section summarises the discussion and decision by the Bureau in February 2020. After the Bureau meeting, the document was circulated to the described organizations and updated based on their input. An abridged version of this in-depth review paper has been prepared for translation purposes and is available in English, French and Russian on the webpage of the sixty-eighth CES plenary session as document ECE/CES/2020/21. -
European Big Data Hackathon
Teams Team: Czech Statistical Office - Czech Republic Václav Bartoš Czech Statistical Office Vlastislav Novák Czech Statistical Office Filip Vencovský University of Economics, Prague Team: Statistisches Bundesamt (DESTATIS) - Germany Jana Emmenegger Statistisches Bundesamt (DESTATIS) Bernhard Fischer Statistisches Bundesamt (DESTATIS) Normen Peters Statistical Office Hessen Team: Statistics Estonia - Estonia Arko Kesküla Statistics Estonia Tõnu Raitviir Statistics Estonia Anto Aasa University of Tartu Team: Central Statistics Office - Ireland Aidan Condron Central Statistics Office Sanela Jojkic Central Statistics Office Marco Grimaldi Central Statistics Office Team: Hellenic Statistical Authority - Greece Georgios Ntouros Hellenic Statistical Authority (ELSTAT) Anastasia Stamatoudi Hellenic Statistical Authority (ELSTAT) Emmanouil Tsardoulias Aristotle University of Thessaloniki (AUTH) Team: Croatian Bureau of Statistics - Croatia Tomislav Jakopec J. J. Strossmayer University of Osijek Slobodan Jelić J. J. Strossmayer University of Osijek Antonija Jelinić mStart d.o.o Team: Istat - Italy Francesco Amato Istat Mauro Bruno Istat Fabrizio De Fausti Istat Team: Central Statistical Bureau of Latvia - Latvia Janis Jukams Central Statistical Bureau of Latvia Dāvis Kļaviņš Central Statistical Bureau of Latvia Jānis Muižnieks Central Statistical Bureau of Latvia Team: Statistics Netherlands (CBS) - Netherlands Benjamin Laevens Statistics Netherlands (CBS) Ralph Meijers Statistics Netherlands (CBS) Rowan Voermans Statistics Netherlands (CBS) 31 -
Annex 3: Sources, Methods and Technical Notes
Annex 3 EAG 2007 Education at a Glance OECD Indicators 2007 Annex 3: Sources 1 Annex 3 EAG 2007 SOURCES IN UOE DATA COLLECTION 2006 UNESCO/OECD/EUROSTAT (UOE) data collection on education statistics. National sources are: Australia: - Department of Education, Science and Training, Higher Education Group, Canberra; - Australian Bureau of Statistics (data on Finance; data on class size from a survey on Public and Private institutions from all states and territories). Austria: - Statistics Austria, Vienna; - Federal Ministry for Education, Science and Culture, Vienna (data on Graduates); (As from 03/2007: Federal Ministry for Education, the Arts and Culture; Federal Ministry for Science and Research) - The Austrian Federal Economic Chamber, Vienna (data on Graduates). Belgium: - Flemish Community: Flemish Ministry of Education and Training, Brussels; - French Community: Ministry of the French Community, Education, Research and Training Department, Brussels; - German-speaking Community: Ministry of the German-speaking Community, Eupen. Brazil: - Ministry of Education (MEC) - Brazilian Institute of Geography and Statistics (IBGE) Canada: - Statistics Canada, Ottawa. Chile: - Ministry of Education, Santiago. Czech Republic: - Institute for Information on Education, Prague; - Czech Statistical Office Denmark: - Ministry of Education, Budget Division, Copenhagen; - Statistics Denmark, Copenhagen. 2 Annex 3 EAG 2007 Estonia - Statistics office, Tallinn. Finland: - Statistics Finland, Helsinki; - National Board of Education, Helsinki (data on Finance). France: - Ministry of National Education, Higher Education and Research, Directorate of Evaluation and Planning, Paris. Germany: - Federal Statistical Office, Wiesbaden. Greece: - Ministry of National Education and Religious Affairs, Directorate of Investment Planning and Operational Research, Athens. Hungary: - Ministry of Education, Budapest; - Ministry of Finance, Budapest (data on Finance); Iceland: - Statistics Iceland, Reykjavik. -
A Report on the Contents and Comparability of the Eu-Silc Income Variables
HERMAN DELEECK CENTRE FOR SOCIAL POLICY Tim Goedemé and Lorena Zardo Trindade METASILC 2015: A REPORT ON THE CONTENTS AND COMPARABILITY OF THE EU-SILC INCOME VARIABLES WORKING PAPER NO. 20.01 January 2020 University of Antwerp Herman Deleeck Centre for Social Policy centrumvoorsociaalbeleid.be METASILC 2015: A REPORT ON THE CONTENTS AND COMPARABILITY OF THE EU-SILC INCOME VARIABLES Tim Goedemé1,2 and Lorena Zardo Trindade1 (eds.) 1Herman Deleeck Centre for Social Policy University of Antwerp 2Institute for New Economic Thinking at the Oxford Martin School Department of Social Policy and Intervention University of Oxford This report is also available as INET Oxford Working Paper No. 2020-01, January 2020, Employment, Equity & Growth Programme 2020 Please cite this report and the MetaSILC 2015 database as: Goedemé, T. and Zardo Trindade, L. (eds.) (2020). MetaSILC 2015: A report on the contents and comparability of the EU-SILC income variables, INET Working Paper 2020-1 & CSB Working Paper WP 20/01. Oxford: Institute for New Economic Thinking, University of Oxford & Antwerp: Herman Deleeck Centre for Social Policy, University of Antwerp. Goedemé, T. and Zardo Trindade, L. (2020). MetaSILC 2015: A database on the contents and comparability of the EU-SILC income variables [Data file], Antwerp: Herman Deleeck Centre for Social Policy, University of Antwerp & Oxford: Institute for New Economic Thinking, University of Oxford. https://doi.org/10.7910/DVN/TLSZ4S. 1 ACRONYMS AND ABBREVIATIONS CYSTAT Statistical Service of the Republic of Cyprus -
Web-Sites of National Statistical Offices
Web-sites of National Statistical Offices Afghanistan Central Statistics Organization Albania Statistical Institute Argentina National Institute for Statistics and Census Armenia National Statistical Service of the Republic of Armenia Aruba Central Bureau of Statistics Australia Australian Bureau of Statistics Austria National Statistical Office of Austria Azerbaijan State Statistical Committee of Azerbaijan Republic Belarus Ministry of Statistics and Analysis Belgium National Institute of Statistics Belize Statistical Institute Benin National Statistics Institute Bolivia National Statistics Institute Botswana Central Statistics Office Brazil Brazilian Institute of Statistics and Geography Bulgaria National Statistical Institute Burkina Faso National Statistical Institute Cambodia National Institute of Statistics Cameroon National Institute of Statistics Canada Statistics Canada Cape Verde National Statistical Office Central African Republic General Directorate of Statistics and Economic and Social Studies Chile National Statistical Institute of Chile China National Bureau of Statistics Colombia National Administrative Department for Statistics Cook Islands Statistics Office Costa Rica National Statistical Institute Côte d'Ivoire National Statistical Institute Croatia Croatian Bureau of Statistics Cuba National statistical institute Cyprus Statistical Service of Cyprus Czech Republic Czech Statistical Office Denmark Statistics Denmark Dominican Republic National Statistical Office Ecuador National Institute for Statistics and Census Egypt