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

Chiara Criscuolo, Peter Gal and Carlo Menon ()

CEP Occasional Papers from Centre for Economic Performance, LSE

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; job flows; firm demographics (search for similar items in EconPapers)
JEL-codes: D22 E24 L25 L26 (search for similar items in EconPapers)
Date: 2014-06
New Economics Papers: this item is included in nep-mac
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Citations: View citations in EconPapers (3)

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https://cep.lse.ac.uk/pubs/download/occasional/op042.pdf (application/pdf)

Related works:
Working Paper: Dynemp: a Stata® routine for distributed micro-data analysis of business dynamics (2014)
Working Paper: DynEmp: A Stata® Routine for Distributed Micro-data Analysis of Business Dynamics (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:cep:cepops:42

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