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Explore the significance of time use surveys in informing policies on unpaid work, well-being, and gender equality. Learn how these surveys provide crucial data for addressing societal issues and improving policy outcomes.
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Time Use Surveys: Harmonised and Timely Data to Inform Policymaking UNECE Work Session on Gender Statistics Geneva, 12-14 March 2012
Conclusions of the In-depth Review by the Conference of European Statisticians, 2010 • Need to improve comparability, timeliness and efficiency • Usefulness of practical guidelines to improve harmonisation • Policy relevance to be better explained • Establish a task force
Objectives of the Task Force • Guide harmonisation • Collect good practice • Demonstrate policy relevance
Focus of the Guidelines • Minimum set of comparable statistical measures • Timeliness. Light surveys • Time use classifications:Minimum list of activities comparable across any national classification
Policy Relevance • Key reason for conducting TUS • Increased in the light of recent initiatives • TUS inform on a broad range of issues • For certain issues, TUS indispensable
Unpaid Work and Non-market Production • GDP does not capture non-market sectors potentially misleading policy conclusions • Estimation of opportunity cost • Household Satellite Accounts
Well-being • The Stiglitz commission report • Measurement of social and leisure time • Work-life balance
Social and Leisure Time • What is the influence of government policy? • Unpaid activities to maintain quality of life • Childcare • Repairs around the home • Buying supplies and goods • Correlation of activities with well-being
Work-life Balance • Work hours from labour force surveys • Time use surveys: • When during the day (atypical hours)? • Duration of spells • Synchronisation among partners • Daily and weekly work rhythms • Details of time use at workplace • Work at home
Gender Equality • Unequal distribution of paid and unpaid work • Unsociable working hours • Monitor specific targets: • Fathers’ time with children • Sharing of housework • Women’s time in paid work • Life course variation of time use pattern
Health • Unpaid health care • Health behaviours: exercise, eating, sleeping • Health effects of work and leisure patterns • New mothers’ time use patterns
Other Use of Time Use Data • Transport: commuting patterns • Cultural policy, timing of programmes • Sport-related policy • Policies targeting specific population groups: • Rural areas • Elderly • Children • Youth
Conclusion Time use surveys can inform a broad range of policies Indispensable for the three key areas where other sources insufficient core rationale for conducting TUS regularly Unpaid work and non-market production Well-being Gender equality