Supporting instruments for gender analysis and development of gender policies. Gender Statistics

Transcription

1 Supporting instruments for gender analysis and development of gender policies Gender Statistics

2 Quality multidimensional concept measures the fitness of data for their purpose assessed through the intended users and uses

3 EIGE s gender statistics database Focuses exclusively on gender statistics, which are intended for the very specific and clearly defined purpose of measuring and advancing gender equality 3

4 Quality assessment Which framework? European Statistical System - ESS (Eurostat 2014, 2015) European Statistics Code of Practice (Eurostat 2011) Specific requirements on gender statistics 4

5 Quality Dimensions Relevance users needs? Accuracy and reliability consitency/true values? Timeliness and punctuality which schedule/which reference period? Coherence and comparability concepts, definitions, methodologies consistent internally and across space and time? Accessibility and clarity adequate and explanatory information metadata? 5

6 Quality Dimensions Reliability Measurement methods produce results that are stable and consistent Validity How well the test measures the underlying true concept or value Validity components are immensely dependent on the context and the purported use of the data - An estimate or indicator that may be appropriate for some general-purpose applications may be completely invalid for gender statistics. 6

7 Validity To assess validity careful qualitative analysis of the definitions, classifications, and procedures used in the production of the data, so that all sources of bias relevant for the intended use cases are taken into account. In the case of gender statistics, particular attention should be paid to gender biases 7

8 Reliability To enable proper identification of limitations to reliability and validity, the Accessibility and clarity dimension of data quality is paramount: a complete and thorough set of metadata must be available to make such analysis possible. Metadata must take care to explain the gender-specific quality considerations; detailed original documentation of data collection and processing procedures should also be available to enable further gender-sensitive analysis by expert users. 8

9 Relevant questions sex-disaggregated statistics available additional breakdown variables available (e.g. breakdown by sex and age) questions on gender issues definitions used fully cover the concept that the data attempt to measure definition of the labour force covers unpaid work? entrepreneurship properly distinguished from self-employment all types of gender-based violence are included in the operational definition non-consensual sex without the use of force counts as rape 9

10 Relevant questions sample adequately cover all groups of women and men individuals living in collective households are also covered sample large enough to adequately describe small relevant groups and to allow for simultaneous disaggregation by sex and other relevant variables? questionnaire designed in a way that takes into account gender perspectives and avoids gender biases questions are worded in a way that are equally understood and interpreted by both sexes gender-sensitive language used when referring to concepts such as occupations avoidance of leading questions sensitive questions asked in a way/format that minimises under-reporting interviewers properly trained to avoid gender stereotypes avoid bias arising from cultural differences in norms and perceptions care taken to avoid under- or over-reporting of GBV due to differences in the social norms of what is or is not acceptable in a given culture?) metadata provide adequate information on how gender issues have been addressed 10

11 Gender indicators Allow us to evaluate to which extent gender equality is being achieved over time and have different reference points any indicator measuring the situation of women in a given country at a given time has as its reference point the situation of men in the same country and at the same time as the indicator is used to assess inter-temporal changes, the reference point is the value of the indicator at a fixed earlier point in time when the indicator is used to assess international differences, values of different countries serve as reference points for each other (e.g. the Gender Equality Index) 11

12 Definitions; Concepts; Methods coherence comparability gender biases free fine-tuned to detect hidden inequalities 12

13 Sources Identify all sources for the given data item two minimum requirements: sufficient metadata; sex-disaggregated data are available (note: this requirement does not apply to gender-based violence and concepts that directly measure a gender equality concept, such as the gender pay gap). 13

14 Sources Include the highest-quality source When the metadata reveals serious quality problems, change the presentation of the data to reflect these problems: Do not display non-comparable data side-by-side; Reflect problems in the metadata displayed along with the data. 14

15 What s New? Computed data Allows comparisons in time and between countries Derived gender statistics from macrodata Automated updating of data and metadata 15

16 Organising principles The Database has a diverse user base: Policymakers (EU and national) Academic researchers Students Civil Society User diversity necessitates multiple entry points/ browsing trees 16

17 Browsing trees Thematic areas Policy areas EU strategies Gender Equality Index Beijing Platform for Action (BPfA) Women and men in decision making Gender-based violence (?) 17

18 Thematic areas Aimed at general research use General areas of interest; similar to the Themes of Eurostat and national statistical institutes Cross-cutting for several policy areas 18

19 Policy areas Aimed at policymakers Structure follows European Union policy priorities 19

20 Thematic areas versus Policy areas Thematic areas Population and demography Attitudes, perceptions and norms Health and mortality Education and training Work and labour market Financial and economic situation Time use Power and decision making Research, science, and technology Gender-based violence Intersecting inequalities Fertility and reproductive rights Policy areas Agriculture and fisheries Citizenship, participation, and representation Culture, education and youth Economy and finance Employment and social affairs Enterprise and industry Environment, climate action and energy External relations and foreign affairs Health Information society Justice and home affairs Regions and local development Science, research and technology Transport and travel 20

21 Data sources JUSTICE Member States 21

22 Workflow Production Development of conceptual structure Development of database software Data/Metadata collection/gathering Storage Organisation/structuring of data and metadata Computation of derived indicators and aggregates Conversion of downloaded data and metadata to unified format Dissemination User interfaces Publication and management of interface Published outputs 22

23 Landing page 24

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27 EU Column Chart 28

28 EU Heat Map 29

29 Timeline Chart 30

30 Data Table 31

31 Keyword search 32

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33 Other tools and functionalities Indicator information: Reference Metadata Dataset Information Keyword pages Data Visualisations Export and Sharing: Data Export in multiple formats Graph printing and exporting in various formats API to query data based on SDMX Social Media sharing for each page indicator Feedback gathering tool 34

34 Challenging opportunities Gender statistics gaps Updating process&relevance for users Consistency with EIGE`s message on gender equality Connection to other EIGE`s knowledge products Partnerships with statistical providers/producers 35

35 Timeline Gender Statistics Database was communicated to stakeholders 2016 Publication on EIGE s website Communication process Consolidate dissemination of WMID/prepare data collection 2017 Addressing gender statistics gaps Building partnerships/ /strenghthening cooperation with statistical providers Close monitoring of the databse in consultation with EIGE s stakeholders 43

36 What s up? 1/2 June UNECE session on gender statistics 15 June - Online discussion Tackling/Addressing gender statistics gaps 15 September - Meeting of the technical support group Handing over of EC s database (WMID) Improvements in line with policy and technical developments 44

37 What is measured becomes visible What is visible can be monitored and gets improved! Video

38 Thank you EuroGender Network facebook.com/eige.europa.eu youtube.com/user/eurogender eige.europa.eu/newsletter