Occupational Segregation: Extent, Causes and Consequences
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												  List of ParticipantsList 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.
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												  Statistical Confidentiality and Access to MicrodataUNITED NATIONS ECONOMIC COMMISSION FOR EUROPE STATISTICAL CONFIDENTIALITY AND ACCESS TO MICRODATA Proceedings of the Seminar Session of the 2003 Conference of European Statisticians UNITED NATIONS UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE STATISTICAL CONFIDENTIALITY AND ACCESS TO MICRODATA Proceedings of the Seminar Session of the 2003 Conference of European Statisticians UNITED NATIONS NEW YORK AND GENEVA 2003 Note The views expressed herein are those of the authors and do not necessarily reflect the views of the United Nations. FOREWORD At the 51st plenary session of the Conference of European Statisticians (CES) held in Geneva, 10-12 June 2003, one of the two seminars was devoted to the issue of statistical confidentiality and access to microdata. This seminar was organized and chaired by Statistics Sweden in cooperation with the CES Bureau. Since the seminar was regarded as very fruitful, the United Nations Economic Commission for Europe (UNECE) and Statistics Sweden decided to make a joint publication of the proceedings of the seminar. The Fundamental Principles of Official Statistics, adopted by the Economic Commission for Europe in 1992, include a principle, according to which “Official statistics provide an indispensable element in the information system of a democratic society…”. Furthermore “…individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes”. When discussing microdata, the main challenge for statistical offices is to ensure that the improved access to microdata will not undermine the confidentiality principle, both in reality and in the perception of the public and respondents to statistical surveys.
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												  Management Ideas and the Social Construction of OrganizationsManagement Ideas and the Social Construction of Organizations cultural foundations include scientization, individual rights and capacities, and ongoing individual education and professionalization. The processes identified are illustrated with examples of particular management ideas that have contributed to the standardization of organizations as a single, meta-form of social structure. The chapter ends by discussing research implications and future scholarly directions." > Oxford Handbooks Online Management Ideas and the Social Construction of Organizations Shawn Pope and Patricia Bromley The Oxford Handbook of Management Ideas Edited by Andrew Sturdy, Stefan Huesinkveld, Trish Reay, and David Strang Print Publication Date: Mar 2019 Subject: Business and Management, Organizational Theory and Behaviour Online Publication Date: Apr 2019 DOI: 10.1093/oxfordhb/9780198794219.013.28 Abstract and Keywords This chapter examines cultural transformations that have contributed to the expansion of management ideas in number, domains, and across sectors. The discussion is organized around a conceptual model that depicts propositions arguing that cultural foundations underpin the expansion of management ideas and formal organization as core elements of contemporary society. These Page pageId="12"?>cultural foundations include scientization, individual rights and capacities, and ongoing individual education and professionalization. The processes identified are illustrated with examples of particular management ideas that have contributed to the standardization
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												  Celebrating the Establishment, Development and Evolution of Statistical Offices Worldwide: a Tribute to John KorenStatistical Journal of the IAOS 33 (2017) 337–372 337 DOI 10.3233/SJI-161028 IOS Press Celebrating the establishment, development and evolution of statistical offices worldwide: A tribute to John Koren Catherine Michalopouloua,∗ and Angelos Mimisb aDepartment of Social Policy, Panteion University of Social and Political Sciences, Athens, Greece bDepartment of Economic and Regional Development, Panteion University of Social and Political Sciences, Athens, Greece Abstract. This paper describes the establishment, development and evolution of national statistical offices worldwide. It is written to commemorate John Koren and other writers who more than a century ago published national statistical histories. We distinguish four broad periods: the establishment of the first statistical offices (1800–1914); the development after World War I and including World War II (1918–1944); the development after World War II including the extraordinary work of the United Nations Statistical Commission (1945–1974); and, finally, the development since 1975. Also, we report on what has been called a “dark side of numbers”, i.e. “how data and data systems have been used to assist in planning and carrying out a wide range of serious human rights abuses throughout the world”. Keywords: National Statistical Offices, United Nations Statistical Commission, United Nations Statistics Division, organizational structure, human rights 1. Introduction limitations to this power. The limitations in question are not constitutional ones, but constraints that now Westergaard [57] labeled the period from 1830 to seemed to exist independently of any formal arrange- 1849 as the “era of enthusiasm” in statistics to indi- ments of government.... The ‘era of enthusiasm’ in cate the increasing scale of their collection.
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												  Skane Facts-And-Key-Trends.PdfSKÅNE – FACTS AND KEY TRENDS Utgivningsår: 2017 Rapporten är framtagen av Region Skåne och Helsingborgs Stad 2017 inom ramen för OECD studien OECD Territorial Review Megaregion Western Scandinavia Författare: Madeleine Nilsson, Christian Lindell, David Sandin, Daniel Svärd, Henrik Persson, Johanna Edlund och många fler. Projektledare: Madeleine Nilsson, [email protected], Region Skåne. Projektledare för Skånes del i OECD TR Megaregion Western Scandinavia 1 Foreword Region Skåne and the City of Helsingborg, together with partners in Western Sweden and the Oslo region, have commissioned the OECD to conduct a so-called Territorial Review of the Megaregion Western Scandinavia. A review of opportunities and potential for greater integration and cooperation between the regions and cities in Western Scandinavia. This report is a brief summary of the supporting data submitted by Skåne to the OECD in December 2016 and mainly contains regional trends, strengths and weaknesses. The report largely follows the arrangement of all the supporting data submitted to the OECD, however, the policy sections have been omitted. All the data sets have been produced by a number of employees of Region Skåne and the City of Helsingborg. During the spring, corresponding reports have been produced for both Western Sweden and the Oslo region. The first study mission was conducted by the OECD in January 2017, where they met with experts and representatives from Skåne and the Megaregion. In late April, the OECD will be visiting Skåne and the Megaregion again with peer reviewers from Barcelona, Vienna and Vancouver for a second round of study mission. The OECD’s final report will be presented and decided upon within the OECD Regional Development Policy Committee (RDPC) in December 2017, and subsequently the OECD Territorial Review Megaregion Western Scandinavia will be published.
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												  European Big Data HackathonTeams 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
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												  Annex 3: Sources, Methods and Technical NotesAnnex 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.
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												  Barriers to Women's Employment and the ExtentBARRIERS TO WOMEN’S EMPLOYMENT AND THE EXTENT OF GENDER INEQUALITY IN THE LABOUR MARKET IN TURKEY Çiğdem Gedikli A thesis submitted for the degree of Doctor of Philosophy at the University of East Anglia Norwich Business School SEPTEMBER 2015 This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with the author and that use of any information derived there from must be in accordance with current UK Copyright Law. In addition, any quotation or extract must include full attribution. i ABSTRACT This thesis investigates gender inequalities in employment outcomes in Turkey in the context of low employment rates of women, occupational gender segregation and gender wage differentials. The first empirical chapter of the thesis sheds light on the role of traditional or conservative social norms and culture on women’s employment in Turkey based on the data for the years 1998 and 2008. It provides evidence that traditional and conservative values, increasingly, reduce women’s likelihood of waged employment and they are also associated with an increased probability of women being in the informal segment of the labour market, either as unpaid family workers or informal waged workers. The second substantive chapter of the thesis points to the extent of occupational gender segregation in Turkey. It shows that women are more likely to be employed in lower-paid jobs and in lower ranked occupations, whereas men remain at an advantaged position both in terms of pay levels or the positions of the occupations they hold in the social hierarchy.
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												  Web-Sites of National Statistical OfficesWeb-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
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												  In the Company of Men: Male Dominance and Sexual HarassmentIN THE COMPANY OF MEN The Northeastern Series on Gender, Crime, and Law edited by Claire Renzetti, St. Joseph’s University Battered Women in the Courtroom: The Power of Judicial Responses James Ptacek Divided Passions: Public Opinions on Abortion and the Death Penalty Kimberly J. Cook Emotional Trials: The Moral Dilemmas of Women Criminal Defense Attorneys Cynthia Siemsen Gender and Community Policing: Walking the Talk Susan L. Miller Harsh Punishment: International Experiences of Women’s Imprisonment edited by Sandy Cook and Susanne Davies Listening to Olivia: Violence, Poverty, and Prostitution Jody Raphael No Safe Haven: Stories of Women in Prison Lori B. Girshick Saving Bernice: Battered Women, Welfare, and Poverty Jody Raphael Understanding Domestic Homicide Neil Websdale Woman-to-Woman Sexual Violence: Does She Call It Rape? Lori B. Girshick IN THE COMPANY OF MEN Male Dominance and Sexual Harassment Edited by James E. Gruber and Phoebe Morgan Northeastern University Press Northeastern University Press Copyright by James E. Gruber and Phoebe Morgan All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this book may be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system now known or to be invented, without written permission of the publisher. Library of Congress Cataloging-in-Publication Data In the company of men : male dominance and sexual harassment / edited by James E. Gruber and Phoebe Morgan. p. cm. — (The Northeastern series on gender, crime, and law) --- (cl : alk. paper)— --- (pa : alk. paper) .
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												  The Effects of Family Status and Occupational Segregation AnnaABSTRACT Prestige Inequality: The Effects of Family Status and Occupational Segregation Anna Nicole Garland, M.A. Thesis Chairperson: Robyn L. Driskell, Ph.D. Wage inequality has been extensively studied in the social sciences, but few researchers have studied prestige inequality. This paper looks not only at prestige and wage inequality between genders, but also within genders, specifically investigating the effects of family status and occupational segregation. Using both occupational prestige and log of income as dependent variables in a variety of regressions, educational attainment, family characteristics, as well as workplace characteristics emerge as important variables in predicting occupational prestige and income. The main finding of this study is that inequality of both wages and prestige is perpetuated not only by innate characteristics, such as gender, but also through socio-demographic characteristics, such as marital status, children, and educational attainment. An individual’s career path also attributes to higher or lower prestige. The most logical explanation for this variance in prestige and income is that employers use stereotypes, assumptions, and expectations to guide their hiring practices. Prestige Inequality: The Effects of Family Status and Occupational Segregation by Anna Nicole Garland, B.B.A. A Thesis Approved by the Department of Sociology ___________________________________ Charles M. Tolbert II, Ph.D., Chairperson Submitted to the Graduate Faculty of Baylor University in Partial Fulfillment of the Requirements for the Degree of Master of Arts Approved by the Thesis Committee ___________________________________ Robyn L. Driskell, Ph.D., Chairperson ___________________________________ F. Carson Mencken, Ph.D. ___________________________________ Joan E. Supplee, Ph.D. Accepted by the Graduate School May 2010 ___________________________________ J.
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												  Sources and Data DescriptionOECD Regions and Cities at a Glance 2018 © OECD 2018 ANNEX B Sources and data description User guide: List of variables Variables used Page Chapter(s) Area 144 2 Business demography, births and deaths of enterprises 144 1 Employment at place of work and gross value added by industry 145 1 Foreign-born (migrants) 145 4 Gross domestic product (GDP) 146 1 Homicides 147 2 Household disposable income 148 2, 4 Households with broadband connection 149 2 Housing expenditures as a share of household disposable income 150 2 Income segregation in cities 151 4 Labour force, employment at place of residence by gender, unemployment 152 2 Labour force by educational attainment 152 2 Life expectancy at birth, total and by gender 153 2 Metropolitan population 154 4 Motor vehicle theft 155 2 Patents applications 155 1 PM2.5 particle concentration 155 2, 4 Population mobility among regions 156 3 Population, total, by age and gender 157 3 R&D expenditure and R&D personnel 158 1 Rooms per person (number of) 159 2 Subnational government expenditure, revenue, investment and debt 160 5 Voter turnout 160 2 Note on Israel: The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. 143 ANNEX B Area Country Source EU24 countries1 Eurostat: General and regional statistics, demographic statistics, population and area Australia Australian Bureau of Statistics (ABS), summing up SLAs Canada Statistics Canada http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-CD-P.