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Enhancing Timeliness of Entrepreneurship Indicators

Learn about efforts to improve timeliness of entrepreneurship statistics through alternative data sources like administrative records and labor force surveys. Explore challenges and solutions for more real-time insights.

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Enhancing Timeliness of Entrepreneurship Indicators

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  1. Development of short-term business demography statisticsKoen De Backer STDOECD Short Term Economic Statistics Expert GroupParis, 10 September 2009

  2. Entrepreneurship Indicators Programme (EIP) (1) • cooperation between OECD, Eurostat and the Kauffman Foundation - started in 2006, first results published in 2008 - internationally comparable indicators on entrepreneurship and business demography • firm birth and deaths, survival… • high growth enterprises and gazelles

  3. Entrepreneurship Indicators Programme (EIP) (2) • based on business registers, data provided by National Statistical Officies • EIP produces solid but rather late indicators • official (NSOs) and validated indicators • not timely: 2-3 years time lag • A high demand for more timely entrepreneurship indicators: - financial crisis; • short term, leading indicators

  4. A first alternative: using timely administrative data • Chambers of Commerce, Business Associations… • Trying to establish correlation between EIP indicators and these timely data series • Eurostat exercise • Finland, Hungary, Italy and Spain • Births, deaths, firm population • Overall stong correlation/coherence between different series • But problems of different classification systems/completeness

  5. A second alternative: using Labour Force Surveys • Scoping study using EU data for 2000-2006 demonstrated feasibility of using LFS data to create: • (a) monthly/quarterly estimates of self-employment and/or business ownership rates • (b) quarterly estimates of self-employment ‘start-up’ rates • (c) self-employment ‘survival’ rates

  6. Examples– UK: ‘start-ups’

  7. ‘Survival rates’Probability of Remaining in Self-Employment by Quarter – UK, 2000-2006

  8. Feasible, but… • Differences in target groups: • LFS: self employed • EIP: employer enterprises • Differences in definitions: • LFS: entry, exit… • EIP: birth, death.. • Statistical problems • small sample sizes create volatile start-up rates • survival rates based on incrementally smaller responses • no seasonally adjusted • trend estimates for start ups? Averaging over time of survival rates?

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