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The OECD Directorate for Science, Technology and Innovation (STI) leads OECD research on the contribution of science, technology and industry to well-being and economic growth. STI Working Papers cover a broad range of topics including definition and measurement of science and technology indicators, global value chains, and research on policies to promote innovation. These technical or analytical working papers are prepared by staff or outside consultants to share early insights and elicit feedback.
DynEmp: A Stata® Routine for Distributed Micro-data Analysis of Business Dynamics
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- Chiara Criscuolo1, 2, Peter N. Gal, Carlo Menon2
- Author Affiliations
- 1: University College London, United Kingdom
- 2: OECD, France
- 22 May 2014
- Bibliographic information
This paper introduces a new Stata® command, dynemp, which implements a distributed micro-data analysis of business and employment dynamics and firm demographics. The data source it requires are business registers or comparable firm- or establishment- level longitudinal databases which cover the (near-) universe of companies in all business sectors. Access to such confidential data is usually restricted and the micro-level data cannot be brought together to a single platform for cross-country analysis. To solve this confidentiality problem while also maintaining a high level of harmonisation of the key economic concepts (gross job flows, growth rates of employment, definition of high-growth firms, etc.), dynemp can be distributed in a network of researchers who have access to the national confidential microdata. In such manner, the rich firm-level employment dynamics can be analysed from new angles (such as firm age and size), significantly expanding the scope of the analysis insofar possible using more aggregated data.
- job flows, employment dynamics, firm demographics