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DynEmp: A Stata® Routine for Distributed Micro-data Analysis of Business Dynamics

Chiara Criscuolo, Peter Gal and Carlo Menon ()

No 2014/2, OECD Science, Technology and Industry Working Papers from OECD Publishing

Abstract: 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.

Keywords: employment dynamics; firm demographics; job flows (search for similar items in EconPapers)
Date: 2014-05-22
New Economics Papers: this item is included in nep-ent
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Citations: View citations in EconPapers (2)

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https://doi.org/10.1787/5jz40rscddd4-en (text/html)

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Working Paper: Dynemp: A Stata® Routine for Distributed Micro-data Analysis of Business Dynamics (2014) Downloads
Working Paper: Dynemp: a Stata® routine for distributed micro-data analysis of business dynamics (2014) Downloads
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