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Dynemp: a Stata® routine for distributed micro-data analysis of business dynamics

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  • Criscuolo, Chiara
  • Menon, Carlo
  • Gal, Peter N.

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.

Suggested Citation

  • Criscuolo, Chiara & Menon, Carlo & Gal, Peter N., 2014. "Dynemp: a Stata® routine for distributed micro-data analysis of business dynamics," LSE Research Online Documents on Economics 57968, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:57968
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    File URL: http://eprints.lse.ac.uk/57968/
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    References listed on IDEAS

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    1. Steven J. Davis & John Haltiwanger & Ron Jarmin & Javier Miranda, 2007. "Volatility and Dispersion in Business Growth Rates: Publicly Traded versus Privately Held Firms," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 107-180, National Bureau of Economic Research, Inc.
    2. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    3. Davis, Steven J. & Haltiwanger, John, 1999. "Gross job flows," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 41, pages 2711-2805, Elsevier.
    4. repec:eee:labchp:v:3:y:1999:i:pb:p:2711-2805 is not listed on IDEAS
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    Cited by:

    1. Chiara Criscuolo & Peter N. Gal & Carlo Menon, 2017. "Do micro start-ups fuel job creation? Cross-country evidence from the DynEmp Express database," Small Business Economics, Springer, vol. 48(2), pages 393-412, February.
    2. Dan Andrews & Chiara Criscuolo & Peter Gal & Carlo Menon, 2015. "Firm Dynamics and Public Policy: Evidence from OECD Countries," RBA Annual Conference Volume (Discontinued), in: Angus Moore & John Simon (ed.),Small Business Conditions and Finance, Reserve Bank of Australia.
    3. Nicola Benatti & Annalisa Ferrando & Pierre Lamarche, 2015. "Firms’ financial statements and competitiveness: an analysis for European non-financial corporations using micro-based data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.

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    More about this item

    Keywords

    employment dynamics; job flows; firm demographics;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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