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Gender and economic statistics: Using available data

This UN Global Forum presentation by Heather Dryburgh highlights the need for comprehensive economic statistics that account for the contributions of both men and women. The presentation identifies existing data sources and explores information gaps, suggesting the use of special surveys and gender analysis to bridge these gaps.

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Gender and economic statistics: Using available data

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  1. Gender and economic statistics: Using available data UN Global Forum on Gender Statistics December 10-12, 2007 Heather Dryburgh, Ph.D. Statistics Canada

  2. Outline • What do we need to know? • What data are already there? • Where are the information gaps?

  3. What do we need to know? • Economic statistics: • Evaluate the performance of an economy • Monitor economic stock and flows • Analyze macroeconomic trends • Inform economic policies and decisions • Used for international comparisons

  4. What do we need to know? • Women’s and men’s economic contributions • Labour force participation (FT/PT, FY/PY) • Value of unpaid work • Self-employment • Entrepreneurship • Number of employees • Company growth • Unionization

  5. What do we need to know? • Factors affecting productivity • Work absences • Part time work • Underemployment • Occupational segregation • Low income • Rates • Consequences

  6. What data are already there? • Labour Force Survey data • Increased participation of women in the paid work force in Canada • Increase in paid employment of women with young children • Absences from work because of personal or family responsibilities (women have more) • Women more likely to work part-time • Trends in self-employment

  7. What data are already there? • Women in agricultural work • Occupational distribution of men and women • Occupational sex-segregation • Number of child-care spaces, registered and non-registered • Unpaid work • Volunteer work • Domestic work • Caregiving

  8. What data are already there? • Beneficiaries of Employment Insurance • Tax data • Contributions to pension plans • Government transfer payments • Income data • Survey of Labour and Income Dynamics • Census of Population

  9. Female to male earnings ratio of full-time workers, 1967 to 2004 Source: Statistics Canada, Survey of Labour and Income Dynamics.

  10. Percentage of seniors with low incomes, by age, 2001 Source: Statistics Canada, 2001 Census of Canada.

  11. Where are the information gaps? • Detail, for example: • Entrepreneurs • Intra-family resource transfers • Informal markets

  12. Where are the information gaps? • Basic information: • System of National Accounts? • Do the data sources measure both men’s and women’s work and reality? • Would it be useful for policy development to know economic flows disaggregated by sex? • Would sex disaggregated data help identify possible missing information?

  13. Conclusions • What do we need to know? • Does our economic data account for the work and activity of both men and women? • What data are already there? • Have we exploited the already existing information? • Where are the information gaps? • Special surveys? • Gender analysis?

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