UN Women, INEGI and the Government of Mexico jointly launched the Global Center of Excellence on Gender Statistics (CEGS) on 10 September 2018, in Mexico City.
A first-of-its kind initiative, the CEGS aims to strengthen gender statistics through collaboration, knowledge sharing, research and innovation. The Government of Mexico through its National Institute of Geography and Statistics (INEGI) has positioned itself as a global leader in the production and analysis of gender statistics, particularly on the use of innovative methods of data collection on key issues related to gender equality and women’s empowerment. The purpose of the partnership is to join forces and advance knowledge at the new frontiers of gender statistics, and thereby strengthen global monitoring of the SDGs. The CEGS will also harness UN Women’s efforts on gender statistics through the programme Making Every Woman and Girl Count.
The launch was followed by the first Global Conference on Gender Equality and the Measurement of Unpaid Care and Domestic Work, which will be part of the research and policy agenda of the CEGS. The conference included sessions on time use research and measurement challenges; innovations in measurement; and policy and programmatic uses of unpaid care and domestic work data.
See below for details on the panels and to download presentations.
Monday, 10 September 2018
Session 1: Keynote address
The keynote focused on key topics being addressed as part of the Conference, including differences between activity-lists and time diaries, the measurement of supervisory or "on-call" responsibilities for children, the sick, elderly, and individuals with disabilities and the impact of question wording and survey design on the respondent reports.
Session 2: Why measuring unpaid care and domestic work is important for addressing gender inequality?
The objective of this session was to discuss and identify research gaps. It focused on research findings on the links between unpaid care and domestic work and other measures of gender inequality, including poverty, employment and wages, and aimed to discuss evidence of causal links, where possible.
- Gaelle Ferrant, Economist, OECD Development Centre
- Valeria Esquivel, Employment Policies and Gender Specialist, International Labour Organization (ILO)
- Xiao-yuan Dong, Professor, University of Winnipeg
- Tanni Mukhopadhyay, Senior Researcher and Policy Specialist, United Nations Development Programme (UNDP)
- Linda Laura Sabbadini, Head of Research, Italian National Institute of Statistics
Session 3: How well do current measures capture gender inequalities in unpaid care and domestic work
The objective of this session was to discuss and identify gaps in the measurement of unpaid care and domestic work. It focused on the key measures of unpaid care and domestic work and related research, data collection and compilation efforts.
Moderator: Papa Seck, Chief Statistician, Research and Data Section, UN Women
- Nancy Folbre, Professor Emerita, University of Massachusetts, Amherst
How well do time use survey measures supervisory or “on-call” responsibilities for children, the sick, elderly, and individuals with disabilities and how does this affect gender differences in unpaid care work?
- Cecilia Tinonin, Project Technical Officer, Statistics Division, International Labour Organization (ILO)
- Mandy Yap, IDM Research Fellow, Australian National University
- Lauren Pandolfelli, Gender Statistics Specialist, UNICEF
Tuesday, 11 September 2018
Session 4: What do we know? How do methodological difference in conducting time use surveys affect data comparability and global SDGs monitoring?
The objective of this session was to discuss data quality issues and identify ways to improve the consistency and comparability of unpaid care and domestic work data. The session focused on the similarities and differences of main classification methods, including a discussion of other factors that affect global comparability of time use data.
Moderator: Ana Laura Pineda, Director General of Statistics, Information and Gender Formation, INMUJERES
- Francesca Grum, Chief of the Social and Gender Statistics Section, UN Statistics Division (UNSD)
- Iliana Vaca, Social Affairs Officer, ECLAC
- Marjut Pietiläinen, Senior Researcher, Statistics Finland
- Vjollca Simoni, Head of European Integration Sector, INSTAT Albania
- Jacques Charmes, Economist and Statistician, Institute of Research and Development
Session 5: Beyond time use surveys: innovations in the measurement of unpaid care and domestic work
The objective of this session was to discuss and learn about innovations in the measurement of unpaid care and domestic work. It focused on new initiatives and the potential of using new technologies to collect such data. The potential of alternative data sources, including administrative sources, big data, geospatial and project/programme data to inform new measures or complement existing ones were discussed.
Moderator: Nadine Gasman, Representative, UN Women Brazil
- Marjut Pietiläinen, Senior Researcher, Statistics Finland
- Allison Williams, Research Chair in Gender, Work and Health, McMaster University
- Indira Hirway, Director of and Professor of Economics, Centre for Development Alternatives (CFDA)
Session 6: Policy and programmatic uses of unpaid care and domestic work data: How is this data used, if at all?
The objective of this session was to discuss the ways in which unpaid care and domestic work data are used in policy advocacy and formulation. The session focused on country experiences and included a discussion on the usefulness of household satellite to inform policy (i.e. beyond their advocacy uses), and how better linkages between data and policy can be fostered.
Moderator: Enrique de Alba, Vice President of Sociodemographic Statistics, INEGI
- Paulina Grobet, Coordinator, Center of Excellence on Gender Statistics
- Marie-Dominique de Suremain, Coordinator of Gender Programme, EuroSocial
- Jean-Yves Boulin, Associate Researcher, Paris Dauphine University
- Julio Alfonso Santaella Castell, President of the Executive Board, INEGI
- Eleanor Carey, Technical Manager, Data2X