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Linking Business Registers for Entrepreneurship Data: Insights and Policy Implications

This presentation discusses the application of linking business registers across statistical domains to provide valuable entrepreneurship data. It explores the structure and results of the Entrepreneurship Database in Denmark, highlighting the relevance of this data for policy-making. The presentation also addresses the implications of the findings and provides recommendations for improving support for female entrepreneurs.

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Linking Business Registers for Entrepreneurship Data: Insights and Policy Implications

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  1. Expert Group on Business Registers12th Session – Paris, 14-15 September 2011 Linking business registers across statistical domains:An application to entrepreneurship data Dorte Høeg Koch Mariarosa Lunati

  2. Plan of the presentation • OECD-Eurostat Entrepreneurship Indicators Programme • Linking data in Denmark • Entrepreneurship Database • Structure & linking • Results • Data relevance for policy Implications • Conclusions

  3. The EntrepreneurshipIndicatorsProgramme • Rising interest from policy makers in entrepreneurship – no reliable data available • The OECD-Eurostat Entrepreneurship Indicator Programme was launched in 2007, to develop policy-relevant and internationally comparable indicators of entrepreneurship and its determinants. • Constructed entirely from business register data • But there are still unanswered questions...

  4. Administrative Registers in Denmark Person Building Business Threeuniqueidentifiers + a visionarylaw

  5. -Occupation -Education -Nationality -Parents -Income -Marital status/ children Person Statistics (Gender &Age) -Experience

  6. -Industry -Employees -Legal form -Geography -Turnover & Exports Business Register

  7. Person Statistics Business Register Entrepreneurship Database New enterprises, survivingenterprises and gazelles Entrepreneurs and employees

  8. Less than 30 % of the entrepreneurs are women, 2001-2008

  9. There is a highershare of youngwomenthan men withhigheducation. Amongentrepreneurs, there is a highershare of womenwithhighereducation – at any age

  10. There is no difference between the share of male and female entrepreneurs that become gazelles (i.e. high-growth enterprises), 2008

  11. - 50 % of Danish women are employed in the public sector - Most of the female entrepreneurs come from the private sector

  12. More women than men start a new business in an industry where they have no prior experience. This is a problem, because survival and growth are generally correlated with previous industry experience.

  13. Many women start up in industries that have no or low entry requirements which make them very competitive sectors with low survival rates

  14. Women establish their businesses when they are in their most fertile age. For female entrepreneurs with small children, the survival rates in retail trade is lower than in knowledge-intensive activities

  15. Having parents with experience of self-employment increases the probability of becoming self-employed. In particular: - The effect of a self-employed father is significantly higher for males - The effect of a self-employed mother is significantly higher for femalesThe historical lack of female entrepreneurs can therefore explain why less women become entrepreneurs today Additional insights fromthe linked data

  16. Some policy implications drawn by Denmark based on analysis of the linked data • A role model focus – especiallyaround the Global EntrepreneurshipWeek • Awareness of female entrepreneurs – yearlystatistics • Improvement of the maternityleave and payment • Information informationinformation – about DOs and DON’Ts

  17. Concludingremarks • Linking of registers canenrich the statistics and give more answers • Lesscostly • Highquality • Includes all • Lowerburdenon the enterprises • But we lack of timeliness and the possibility of benchmarking with other countries

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