1 / 9

Micro Data for Economic Analysis: Innovating Business Statistics

Discover how innovation surveys and micro data analysis can provide valuable insights into economic performance and innovation patterns. This expert meeting explores the benefits, challenges, and global implications of using micro data for economic analysis.

grizzlej
Download Presentation

Micro Data for Economic Analysis: Innovating Business Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Structural Business Statistics Expert Meeting 10-11 May 2007 Vladimir López-Bassols Economic Analysis and Statistics Division (EAS) Directorate for Science, Technology and Industry (DSTI) Using Micro Data for Economic Analysis: Innovation and Economic Performance

  2. Using Micro Data for Economic Analysis Innovation surveys are business surveys, asking firms questions about: Innovation patterns (product, process, organisation, marketing), sources of knowledge (customers, universities, internal R&D…),collaboration and other linkages, obstacles to innovation, use of IPRs, innovation expenditures, etc. => See the OSLO MANUAL (2005)

  3. Using Micro Data for Economic Analysis Innovation surveys- Background First examples in 1980s-90s (manufacturing) 1st edition of Oslo Manual in 1992. 2nd edition in 1997, 3rd in 2005. Surveys have been implemented in most OECD countries for more than 10 years (latest round in Europe: CIS-4) Innovation surveys are a unique source of statistical information on innovation

  4. Using Micro Data for Economic Analysis Innovation surveys and other measurement instruments • R&D surveys, data on HRST, patents, high-tech trade • Innovation surveys focus on “subject approach”, business enterprise sector, go beyond R&D (services)

  5. Using Micro Data for Economic Analysis The project • Objective: Conduct statistical analysis of innovation at the firm level (“microdata”) at an international scale => comparability, statistical robustness • Raison d’être: Access to microdata is restricted (confidentiality rules) => no international comparisons are possible in the current framework. • Modus operandi: National teams from 17 OECD and 2 non-member countries are working within a common framework so as to obtain comparable results, although without pooling the data. Follow 2-tier approach depending on data availability (e.g. links with other datasets)

  6. Using Micro Data for Economic Analysis Contents of the project Studies will make use of innovation surveys microdata and address the following 4 topics: • Innovation, productivity and employment • What benefits do firms (and society) obtain from innovation? • Which economic conditions favour/hamper innovation?

  7. Using Micro Data for Economic Analysis 2. Globalisation: Patterns of international co-operation and technology transfers at the firm level, their impact on innovation • Non technological innovation (organisation, marketing): Its determinants, its articulation with technological innovation • IPR (patents, etc.): Their incentive effect

  8. Using Micro Data for Economic Analysis Implementation of the project • Project launched in 2006: joint project of NESTI (statistical WP of CSTP) and WPIA (statistical WP of CIIE, ex-SWIC) • Meetings: Paris Nov. 2006; Vienna March 2007; Paris June 2007 • Final conference to be held in November 2007 • Outputs: national reports, conference proceedings, technical papers • References: • DSTI/EAS/STP/NESTI(2006)10 • DSTI/EAS/IND/SWP(2007)5

  9. Using Micro Data for Economic Analysis Ongoing/future work • Specifying econometric models for the 4 topics (reduced / extended) and preparing STATA do files • Harmonising variable names and data adjustments • Sampling frames; units of analysis • Sector covered • Mandatory/voluntary • Questions asked • Phrasing and ordering of questions • Presence of filter questions • Developing indicators (simple and composite) • Data linkages (production, financial, patent, trade data)

More Related