5, Number 1, 2016

Total Page:16

File Type:pdf, Size:1020Kb

5, Number 1, 2016 Austrian Journal of Statistics AUSTRIAN STATISTICAL SOCIETY Volume 45, Number 1, 2016 Special Issue on R Österreichische Zeitschrift für Statistik ÖSTERREICHISCHE STATISTISCHE GESELLSCHAFT Austrian Journal of Statistics; Information and Instructions GENERAL NOTES The Austrian Journal of Statistics is an open-access journal with a long history and is published appro- ximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. Special emphasis is on methods and results in official statistics. Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews. All published manuscripts are available at http://www.ajs.or.at (old editions can be found at http://www.stat.tugraz.at/AJS/Editions.html) Members of the Austrian Statistical Society receive a copy of the Journal free of charge. To apply for a membership, see the website of the Society. Articles will also be made available through the web. PEER REVIEW PROCESS All contributions will be anonymously refereed which is also for the authors in order to getting positive feedback and constructive suggestions from other qualified people. Editor and referees must trust that the contribution has not been submitted for publication at the same time at another place. It is fair that the submitting author notifies if an earlier version has already been submitted somewhere before. Manuscripts stay with the publisher and referees. The refereeing and publishing in the Austrian Journal of Statistics is free of charge. The publisher, the Austrian Statistical Society requires a grant of copyright from authors in order to effectively publish and distribute this journal worldwide. OPEN ACCESS POLICY This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. ONLINE SUBMISSIONS Already have a Username/Password for Austrian Journal of Statistics? Go to http://www.ajs.or.at/index.php/ajs/login Need a Username/Password? Go to http://www.ajs.or.at/index.php/ajs/user/register Registration and login are required to submit items and to check the status of current submissions. AUTHOR GUIDELINES The original LATEX-file guidelinesAJS.zip (available online) should be used as a template for the setting up of a text to be submitted in computer readable form. Other formats are only accepted rarely. SUBMISSION PREPARATION CHECKLIST The submission has not been previously published, nor is it before another journal for consideration • (or an explanation has been provided in Comments to the Editor). The submission file is preferable in LATEX file format provided by the journal. • All illustrations, figures, and tables are placed within the text at the appropriate points, rather than • at the end. The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, • which is found in About the Journal. COPYRIGHT NOTICE The author(s) retain any copyright on the submitted material. The contributors grant the journal the right to publish, distribute, index, archive and publicly display the article (and the abstract) in printed, electronic or any other form. Manuscripts should be unpublished and not be under consideration for publication elsewhere. By sub- mitting an article, the author(s) certify that the article is their original work, that they have the right to submit the article for publication, and that they can grant the above license. Austrian Journal of Statistics Volume 45, Number 1, 2016 Special Guest Editors: Andreas ALFONS, Rainer STÜTZ Editor-in-chief: Matthias TEMPL http://www.ajs.or.at Published by the AUSTRIAN STATISTICAL SOCIETY http://www.osg.or.at Österreichische Zeitschrift für Statistik Jahrgang 45, Heft 1, 2016 ÖSTERREICHISCHE STATISTISCHE GESELLSCHAFT Impressum Editor: Matthias Templ, Statistics Austria & Vienna University of Technology Editorial Board: Peter Filzmoser, Vienna University of Technology Herwig Friedl, TU Graz Bernd Genser, University of Konstanz Peter Hackl, Vienna University of Economics, Austria Wolfgang Huf, Medical University of Vienna, Center for Medical Physics and Biomedical Engineering Alexander Kowarik, Statistics Austria, Austria Johannes Ledolter, Institute for Statistics and Mathematics, Wirtschaftsuniversität Wien & Management Sciences, University of Iowa Werner Müller, Johannes Kepler University Linz, Austria Josef Richter, University of Innsbruck Milan Stehlik, Department of Applied Statistics, Johannes Kepler University, Linz, Austria Wolfgang Trutschnig, Department for Mathematics, University of Salzburg Regina Tüchler, Austrian Federal Economic Chamber, Austria Helga Wagner, Johannes Kepler University Linz, Austria Walter Zwirner, University of Calgary, Canada Book Reviews: Ernst Stadlober, Graz University of Technology Printed by Statistics Austria, A-1110 Vienna Published approximately quarterly by the Austrian Statistical Society, C/o Statistik Austria Guglgasse 13, A–1110 Wien c Austrian Statistical Society Further use of excerpts only allowed with citation. All rights reserved. Contents Page Andreas ALFONS, Rainer STÜTZ: Editorial . 1 Marc BILL, Beat HULLIGER: Treatment of Multivariate Outliers in Incomplete Business Survey Data . 3 Kevin JAKOB, Matthias FISCHER: GCPM: A Flexible Package to Explore Credit Portfolio Risk . 25 Jan-Philipp KOLB: Geovisualisation: Possibilities with R .................... 45 Sebastian WARNHOLZ, Timo SCHMID: Simulation Tools for Small Area Estimation: Introducing the R Package saeSim.............................. 55 Andreas ALFONS, Christophe CROUX, Peter FILZMOSER: Robust Maximum Association Between Data Sets: The R Package ccaPP ...................... 71 Thomas MENDLIK, Georg HEINRICH, Andreas GOBIET, Armin LEUPRECHT: From Climate Simulations to Statistics – Introducing the wux Package . 81 Matthias TEMPL, Valentin TODOROV: The Software Environment R for Official Statistics and Survey Methodology . 97 1 Editorial Since its early beginnings in 1993, the statistical computing environment and program- ming language R has grown rapidly and has been the lingua franca of the statistics rese- arch community for many years. Besides being embraced by the research community, R is also widely used in, e.g., IT companies, the banking and insurance sector, the biotech and pharma industry, and even newspapers and periodicals. Much of R’s success can be attributed to its open source implementation, the fact that it is freely available, as well as its possibility to be extended with user-contributed packages. This allowed an active community to grow, resulting in currently more than 9000 packages on the communi- ty package repositories CRAN (the Comprehensive R Archive Network, http://CRAN. R-project.org) and Bioconductor (http://www.bioconductor.org), and many mo- re on development platforms such as R-Forge (http://R-Forge.R-project.org) and GitHub (http://www.GitHub.com). The versatility of R is also reflected in the wide array of topics that are covered by the articles in this Special Issue. In the paper “Treatment of Multivariate Outliers in Incomplete Business Survey Data”, Marc Bill and Beat Hulliger shed some light onto the difficult task of outlier detection with complex survey data in the presence of missing values. The paper guides users of the R package modi through every step of such an analysis, demonstrating how to apply different functions for outlier detection and imputation that are available in the package. The following paper, “GCPM: A Flexible Package to Explore Credit Portfolio Risk” by Kevin Jakob and Matthias Fischer, illustrates how the package GCPM can be used to model credit portfolio risk in the banking industry. The package furthermore allows to perform sensitivity analysis with respect to model assumptions, and offers several approa- ches to speed up computations. In the paper “Geovisualisation: Possibilities with R”, Jan-Philip Kolb shows how to use R to download and modify geographical information from the community driven online map service OpenStreetMap (OSM). Moreover, the paper demonstrates how to incorpo- rate this geographical information into R’s powerful facilities for data visualization. The paper “Simulation Tools for Small Area Estimation: Introducing the R Package saeSim” by Sebastian Warnholz and Timo Schmid presents a simulation platform that is designed specifically for research in small area estimation. The key feature of the package saeSim is that every step in a simulation study is treated as a data manipulation process, which allows to write code for reproducible research that is easy to read and to modify. In the paper “Robust Maximum Association Between Data Sets: The R Package ccaPP”, Andreas Alfons, Christophe Croux and Peter Filzmoser illustrate how to use the package ccaPP to compute intuitive projection-based measures of association between data sets. Furthermore, they show how to asses the significance of those measures via permutation tests and analyze their computation time. 2 Thomas Mendlik, Georg Heinrich, Andreas
Recommended publications
  • Report on Social Vulnerability Indicators Analytical Framework and Methodological Considerations
    gi Report on social vulnerability indicators Analytical framework and methodological considerations Guillaume Jean (UVSQ), Jean-Luc Dubois (IRD) and Isabelle Droy (IRD) 1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 649447. 2 This report constitutes Deliverable D3.2 for Work Package 3 of the RE-InVEST project. February 2019 © 2019 – RE-INVEST, Rebuilding an Inclusive, Value-based Europe of Solidarity and Trust through Social Investments – project number 649447 General contact: [email protected] p.a. RE-InVEST HIVA - Research Institute for Work and Society Parkstraat 47 box 5300, 3000 Leuven, Belgium For more information [email protected]; [email protected]; [email protected] Please refer to this publication as follows: Jean G., Dubois J.-L. and Droy I. (2019). Report on Social Vulnerability Indicators. Analytical Framework and Methodological Considerations. RE-InVEST report, Paris: IRD. This publication is also available at http://www.re-invest.eu/ This publication is part of the RE-InVEST project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 649447. The information and views set out in this paper are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. Executive summary This report was written for the RE-InVEST project – Rebuilding an Inclusive, Value-Based Europe of Solidarity and Trust through Social Investments – part of a European H2020 project designed to evaluate the European Commission’s 2013 social investment strategy and offer new insights to inform public policymaking in response to the social damage done by the crisis.
    [Show full text]
  • Do Current Measures of Social Exclusion Depict the Multidimensional Challenges of Marginalized Urban Areas? Insights, Gaps and Future Research
    International Journal of Environmental Research and Public Health Review Do Current Measures of Social Exclusion Depict the Multidimensional Challenges of Marginalized Urban Areas? Insights, Gaps and Future Research Rocío Vela-Jiménez and Antonio Sianes * Research Institute on Policies for Social Transformation, Universidad Loyola Andalucía, 41704 Seville, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-61-109-9523 Abstract: According to the United Nations, 70% of the world’s population will live in cities by 2050, increasing the proliferation of areas of social exclusion and thus polarization and segregation. The establishment of multidimensional measures seeks to identify such situations of social exclusion to inform social policies and interventions. However, some concerns emerge: Are these measures catching the needs of people living in particularly disadvantages areas? Do they offer a human- centred approach or a territorial focus? Is the multidimensionality of such measures reflecting nonmaterial aspects such as health, access to liveable environments or political participation? To analyse how the scientific literature is addressing the measurement of social exclusion to tackle such urban challenges, a systematic review following the PRISMA guidelines was performed in the Web Citation: Vela-Jiménez, R.; Sianes, A. of Science database. After screening following the inclusion criteria, 28 studies were identified that Do Current Measures of Social analysed systems of indicators that multidimensionally examined social exclusion at the individual Exclusion Depict the and/or family level in urban contexts. Despite studies being eminently limited to some Western Multidimensional Challenges of Marginalized Urban Areas? Insights, countries, the results revealed a broad diversity. However, very few of them fully focused on the Gaps and Future Research.
    [Show full text]
  • NATIONAL HUMAN DEVELOPMENT REPORT Capacity Development and Integration with the European Union NATIONAL HUMAN DEVELOPMENT REPORT
    Albania NATIONAL HUMAN DEVELOPMENT REPORT capacity development and integration with the european union NATIONAL HUMAN DEVELOPMENT REPORT Albania – 2010 Capacity Development and Integration with the European Union The views expressed herein are those of the authors and do not necessarily reflect the views of the United Nations Development Programme. Information contained in this report is not subject to copyright. However, clear acknowledgment and reference to the UNDP Human Development Report 2010 for Albania is required, when using this information. This report is available at www.undp.org.al United Nations Development Programme Tirana, Albania, August 2010 TABLE OF CONTENTS Section Page Forward Remarks by the Minister of European Integration and the UN Resident Coordinator and UNDP Resident Representative 3 Acknowledgments 4 Acronyms 5 Executive Summary 6 1.0 INTRODUCTION 15 1.1 Current Situation 15 1.2 Scope of this Report 15 1.3 Methodology 16 1.4 Report Structure 17 2.0 CAPACITY DEVELOPMENT CONTEXT 19 2.1 Capacity Development in a Systems Contex 19 2.2 Is Capacity Development a National Priority? 21 2.3 Capacity Development and EU Integration 26 2.4 Human Development and Social Inclusion 28 3.0 REFORMING PUBLIC ADMINISTRATION 31 3.1 Key Dimensions of the Challenge 31 3.2 Albanian Civil Service: the Core Institutional Capacity 34 3.3 Effective Accountability Frameworks 39 3.3.1 Is there such a framework? 39 3.4 Exploiting Information and Communications Technology 44 4.0 SOCIAL INCLUSION 49 4.1 Social Inclusion as a National Priority
    [Show full text]
  • APPROACHES to MEASURING SOCIAL EXCLUSION UNECE Task Force on Measuring Social Exclusion Acknowledgements
    APPROACHES TO MEASURING SOCIAL EXCLUSION UNECE Task Force on Measuring Social Exclusion Acknowledgements This Guide has been prepared by the UNECE Task Force on Measuring Social Exclusion, which consisted of the following members representing national statistical offices, international organizations, and academia: Dr. Dawn Snape (United Kingdom Office for National Statistics) – Chair of the Task Force Blerta Muja (Albania) Diana Martirosova and Lusine Markosyan (Armenia) Olga Yakimovich (Belarus) Andrew Heisz, Cilanne Boulet and Sarah McDermott (Canada) Jiří Vopravil (Czechia) Sebastian Czajka (Germany) Moniek Coumans and Judit Arends (Netherlands) Stase Novel (North Macedonia) Cecilia-Roxana Adam (Romania) Nora Meister (Switzerland) Laura Tolland (United Kingdom) Laryssa Mykyta (Unites States) Didier Dupré and Agata Kaczmarek-Firth (Eurostat) Carlotta Balestra (OECD) Elena Danilova-Cross (UNDP Istanbul Regional Hub) Andres Vikat and Vania Etropolska (UNECE) Sabina Alkire, Ricardo Nogales, Fanni Kovesdi, and Sophie Scharlin-Pettee (Oxford Poverty and Human Development Initiative) 1 CONTENTS 1 Introduction ........................................................................................................................................ 4 1.1 Background ................................................................................................................................... 4 1.2 Outline of the Guide ..................................................................................................................... 5 2 What
    [Show full text]
  • UNDP REZIME.Indd
    3 National Human Development Report 2009 Montenegro: Society for All Montenegro Summary NHDR 2009 Highlights Social exclusion has become a visible phenomenon in Montenegro. Over the last several years the country has achieved impressive growth as a result of the economic boom in the construction, tourism, retail, telecommunications and banking sectors. Although this growth has created many opportunities for the human development of the poor and so- cially excluded, it has not adequately translated into improved social inclusion or poverty reduction. In recognition of the importance of the European Union’s (EU) social inclusion process, the Government of Montenegro has committed to providing adequate health, education, hous- ing and other social services to its citizens and has adopted a range of policy strategies ad- 4 dressing social exclusion. The Government signed a Stabilization and Association agreement with the EU in 2007 and submitted its application for candidate status in December 2008. This National Human Development Report (NHDR) is based on an open, intensive public dis- cussion on the extent and complex nature and dynamics of social exclusion in Montenegro. The human development approach, as defi ned by UNDP, views people as the real wealth of nations. Human development is the process by which the range of opportunities and choices available to people can be expanded. Human development is impossible without the social inclusion of everyone, or without a process which ensures that those at risk of poverty and social exclusion have equal access to the opportunities and resources necessary to participate fully in economic, social and cultural life and to enjoy a standard of living and well-being that is considered normal in the society in which they live.
    [Show full text]
  • Robust Methodology for Laeken Indicators
    Advanced Methodology for European Laeken Indicators Deliverable 4.2 Robust Methodology for Laeken Indicators Version: 2011 Beat Hulliger, Andreas Alfons, Peter Filzmoser, Angelika Meraner, Tobias Schoch and Matthias Templ The project FP7{SSH{2007{217322 AMELI is supported by European Commission funding from the Seventh Framework Programme for Research. http://ameli.surveystatistics.net/ II Contributors to deliverable 4.2 Chapter 1: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 2: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 3: Andreas Alfons, Matthias Templ, Peter Filzmoser, and Josef Holzer, Vienna University of Technology. Chapter 4: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 5: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 6: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 7: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 8: Matthias Templ, Alexander Kowarik, Peter Filzmoser, Vienna University of Technology. Chapter 9: Beat Hulliger and Tobias Schoch, University of Applied Sciences Northwest- ern Switzerland. Chapter 10: Beat Hulliger and Tobias Schoch, University of Applied Sciences North- western Switzerland. Chapter 11: Matthias Templ, Karel Hron, Peter Filzmoser, Vienna University of Tech- nology. Chapter 12: Angelika Meraner, Peter Filzmoser, and Matthias Templ, Vienna Univer- sity of Technology. Main responsibility Beat Hulliger, University of Applied Sciences Northwestern Switzerland. Evaluators Internal experts: Ralf Munnich,¨ Christian Bruch, Tobias Enderle, Jan-Philipp Kolb, and Stefan Zins AMELI-WP4-D4.2 III Aim and Objectives of Deliverable 4.2 Indicators and in particular the Laeken indicators are vulnerable to outliers.
    [Show full text]
  • Estimation of Social Exclusion Indicators from Complex Surveys: the R Package Laeken
    Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken Andreas Alfons Matthias Templ Erasmus University Rotterdam Vienna University of Technology Abstract This package vignette is an up-to-date version of Alfons and Templ(2013), published in the Journal of Statistical Software. Units sampled from finite populations typically come with different inclusion proba- bilities. Together with additional preprocessing steps of the raw data, this yields unequal sampling weights of the observations. Whenever indicators are estimated from such com- plex samples, the corresponding sampling weights have to be taken into account. In addition, many indicators suffer from a strong influence of outliers, which are a common problem in real-world data. The R package laeken is an object-oriented toolkit for the estimation of indicators from complex survey samples via standard or robust methods. In particular the most widely used social exclusion and poverty indicators are imple- mented in the package. A general calibrated bootstrap method to estimate the variance of indicators for common survey designs is included as well. Furthermore, the package contains synthetically generated close-to-reality data for the European Union Statistics on Income and Living Conditions and the Structure of Earnings Survey, which are used in the code examples throughout the paper. Even though the paper is focused on showing the functionality of package laeken, it also provides a brief mathematical description of the implemented indicator methodology. Keywords: indicators, robust estimation, sample weights, survey methodology, R. 1. Introduction Estimation of indicators is one of the main tasks in survey statistics. They are usually esti- mated from complex surveys with many thousands of observations, conducted in a harmonized manner over many countries.
    [Show full text]
  • European Union Countries Practice on Relative Poverty Measurement
    EUROPEAN UNION COUNTRIES PRACTICE ON RELATIVE POVERTY MEASUREMENT Ian DENNIS1 1 Administrator, Project Leader: Statistics on Income, Poverty & Social Exclusion, Eurostay III. RELATIVE POVERTY A Introduction. Conceptual guidelines to define limits of the content of this section 1.1 It is axiomatic that before one can start to measure a phenomenon, it has first to be adequately defined. Within the European Union (EU) this issue is a subject of perennial, intrinsic interest, but in recent years it has received increasing political attention. Opinion polls have highlighted concerns about the persistence of poverty (varying definitions) and the rise of new forms (ie. new groups at risk) in the context of a re-evaluation of existing social protection systems. The concept of a ‘European Social Model’ as a distinguishing factor from the United States of America has increasingly seen quality of life as a complement or replacement for the central focus on economic wealth. 1.2 Unfortunately, it is difficult to find a definition of ‘quality of life’ that satisfies everyone. Even for the more restricted concept of ‘poverty’ the list of potential alternatives is already long and continuously evolving. Accordingly, any selected definition is to some extent arbitrary, depending on the prevailing value consensus. 1.3 An official definition was adopted by the Dublin European Council in 1984, which regards as poor: “…those persons, families and groups of persons whose resources (material, cultural and social) are so limited as to exclude them from the minimum acceptable way of life in the Member State to which they belong.” This definition, whilst not operationally precise, clearly implies a multidimensional, dynamic and relative approach.
    [Show full text]
  • Poverty Estimation Methods: a Comparison Under Box-Cox Type Transformations with Application to Mexican Data
    Poverty Estimation Methods: a Comparison under Box-Cox Type Transformations with Application to Mexican Data \In a country well governed, poverty is something to be ashamed of. In a country badly governed, wealth is something to be ashamed of." { Confucius Latin America stands out together with Sub-Saharan Africa as one of the most unequal regions in the world ([LP08]). This problem was acknowledged by the United Nations, which argued that fighting poverty should be the first and the most important of the Millennium Development Goals to be addressed in this century ([WHO08]). However, to achieve this, it is crucial to obtain a detailed description of the spatial distribution of poverty for understanding the geographic conditions where the poor live within a coun- try. For this purpose, poverty mapping procedures are commonly applied following three principal steps: 1. Choose poverty indicators (like the Gini coefficient) and a poverty threshold if re- quired 2. Select input variables from survey and census datasets 3. Choose an optimal poverty estimation method and conduct the estimation process of the previously selected indicators 4. Obtain a high resolution map, here called poverty map, by plotting the resulting estimates on the geographical coordinates. Traditionally, methodologies for measuring poverty and inequality relied on conventional monetary-based magnitudes such as household per capita income, consumption level and Gross Domestic Product (GDP). In other words, they are based on the analysis of a one−dimensional poverty concept: income−poverty. In this context, a poverty line, also known as threshold, is derived from an estimate of an adequate minimum income in a given country and is commonly set by national governments.
    [Show full text]
  • Social Inclusion in Bosnia and Herzegovina
    NHDR-final 3/1/07 11:12 AM Page 1 National Human Development Report 2007 Social Inclusion in Bosnia and Herzegovina NHDR-final 3/1/07 11:12 AM Page 2 National Human Social Inclusion Development Report 2007 2 in Bosnia and Herzegovina ACKNOWLEDGMENTS Supervisor: Association of People with Cerebral Palsy of the Sarajevo Armin SIR»O, Senior Portfolio Manager, UNDP BiH. Canton (Novotni Nevenko); Association of People with Multiple Sclerosis of the Sarajevo Canton (BahtijareviÊ Team Leader: Dr. Æarko PAPI∆. Fata); Association of Paraplegics of the Sarajevo Canton Authors (in alphabetical order): Maida FETAHAGI∆, Boris (SlimoviÊ Zula); Association of Parents with Children with HRABA», Fahrudin MEMI∆, Ranka NINKOVI∆, Adila Special Needs ”Sunce nam je zajedniËko”, Trebinje (Mijat PA©ALI∆-KRESO, Lejla SOMUN-KRUPALIJA and Miodrag ©aroviÊ, –urica Bora, IvaniπeviÊ Stana, LonËar Draæenka, ÆIVANOVI∆. »uËkoviÊ Sneæana, –eriÊ Jovanka, VuËureviÊ Biljana, BoπkoviÊ Mila); Association of Blind People of the Sarajevo Ana ABDELBASIT and Sarina BAKI∆, Project Assistants, for Canton (Fikret Zuko, Miljko Branko, AntiÊ Amira, ©akanoviÊ their huge contribution to the work of the NHDR-2007 Bejza); Blind Women's Committee (HadæiÊ Amina); BiH team. Union of Blind People (NiπiÊ Risto); Centar za Kulturu UNDP BiH Editorial Team Dijaloga, Sarajevo (Selma DizdareviÊ); Centar za Ljudska Prava, Mostar (Gordana Blaæ); Centar za Socijalni Rad, Christine McNAB, UNDP Resident Representative in Bosnia Trebinje (Mira ∆uk); Red Cross of the Tuzla Canton, Tuzla and Herzegovina;
    [Show full text]
  • Indicators of Gender Equality
    UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE Conference of European Statisticians Task Force on Indicators of Gender Equality Indicators of Gender Equality Draft, 7 January 2014 The Bureau of the Conference of European Statisticians (CES) reviewed the draft report “Indicators of gender equality” at its October 2013 meeting and requested the secretariat to circulate it for a broad consultation to all countries and international organizations who participate in the work of CES. Please send your feedback and comments on the draft report by 28 February 2014 to Andres Vikat ([email protected]) and Christopher Jones ([email protected]). Please structure your comments as follows: general comments; comments on the structure of the report; comments on the proposed indicators (chapter 2 and annex A); comments on proposals for further work (chapter 3). The secretariat will summarise the comments and present them at the UNECE Work Session on Gender Statistics (Geneva, 19-21 March) and subsequently at the CES plenary session (Paris, 9-11 April). Subject to a positive outcome of the consultation, the report will be submitted to the 2014 CES plenary session for endorsement. Acknowledgement The present report is prepared by the UNECE Task Force on Indicators of Gender Equality, which consisted of the following members: Cristina Freguja (Istat, Italy, Chair of the Task Force), Dean Adams and Rajni Madan (Australian Bureau of Statistics), Yafit Alfandari (Central Bureau of Statistics, Israel), Sara Demofonti, Lidia Gargiulo, Paola Ungaro and Maria Giuseppina Muratore (Istat, Italy), Marion van den Brakel (Statistics Netherlands), Maria José Carrilho (Statistics Portugal), Teresa Escudero (National Statistics Institute, Spain), Karen Hurrell (Equality and Human Rights Commission, United Kingdom), Ilze Burkevica, Ligia Nobrega and Anna Rita Manca (European Institute for Gender Equality), Piotr Ronkowski and Sabine Gagel (Eurostat), Adriana Mata Greenwood (ILO), Andres Vikat, Christopher Jones and Mihaela Darii-Sposato (UNECE).
    [Show full text]
  • Analysing and Measuring Social Inclusion in a Global Context ST/ESA/325
    Analysing and Measuring Social Inclusion in a Global Context ST/ESA/325 Department of Economic and Social Affairs Analysing and Measuring Social Inclusion in a Global Context United Nations New York, 2010 DESA The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates, and analyses a wide range of economic, social and environmental data and information on which States Members of the United Nations draw to review common problems and to take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translating policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. Note The views expressed in the present publication are those of the authors and do not imply the expression of any opinion on the part of the United Nations Secretariat concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Symbols of United Nations documents are composed of capital letter combined with figures. When it appears, such a symbol refers to a United Nations document. ST/ESA/325 United Nations publication Sales No. E.09.IV.16 ISBN 978-92-1-130286-8 Copyright © United Nations, 2010 All rights reserved Printed by the United Nations, New York Preface In the past 20 years, there has been steady progress in achieving socio-economic development, promoting wider support for democratic values and strengthening collaborative relationships among governments, social insti- tutions and civil society worldwide.
    [Show full text]