DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics:
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...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2014
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Schriftenreihe: | OECD Science, Technology and Industry Working Papers
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Schlagworte: | |
Online-Zugang: | kostenfrei |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (20 Seiten) 21 x 29.7cm |
DOI: | 10.1787/5jz40rscddd4-en |
Internformat
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spelling | Criscuolo, Chiara Verfasser aut DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics Chiara Criscuolo, Peter N. Gal and Carlo Menon Paris OECD Publishing 2014 1 Online-Ressource (20 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD Science, Technology and Industry Working Papers 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 Science and Technology Industry and Services Gal, Peter N... ctb Menon, Carlo ctb https://doi.org/10.1787/5jz40rscddd4-en Verlag kostenfrei Volltext |
spellingShingle | Criscuolo, Chiara DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics Science and Technology Industry and Services |
title | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics |
title_auth | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics |
title_exact_search | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics |
title_exact_search_txtP | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics |
title_full | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics Chiara Criscuolo, Peter N. Gal and Carlo Menon |
title_fullStr | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics Chiara Criscuolo, Peter N. Gal and Carlo Menon |
title_full_unstemmed | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics Chiara Criscuolo, Peter N. Gal and Carlo Menon |
title_short | DynEmp: A Stata Routine for Distributed Micro-data Analysis of Business Dynamics |
title_sort | dynemp a stata routine for distributed micro data analysis of business dynamics |
topic | Science and Technology Industry and Services |
topic_facet | Science and Technology Industry and Services |
url | https://doi.org/10.1787/5jz40rscddd4-en |
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