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

Chiara Criscuolo, P. Gal, C. Menon
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引用次数: 10

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.
DynEmp:用于商业动态的分布式微数据分析的Stata®例程
本文介绍了一个新的Stata®命令dynemp,它实现了对商业和就业动态以及企业人口统计数据的分布式微数据分析。它需要的数据源是商业登记簿或可比较的公司或机构级纵向数据库,这些数据库涵盖所有业务部门的(近)公司。对这类机密数据的访问通常受到限制,微观层面的数据不能汇集到一个单一的平台上进行跨国分析。为了解决这一机密性问题,同时保持关键经济概念(总就业流量、就业增长率、高增长公司的定义等)的高度协调,dynemp可以在可以访问国家机密微数据的研究人员网络中进行分发。通过这种方式,可以从新的角度(如公司的年龄和规模)分析丰富的公司层面的就业动态,使用更多的汇总数据,尽可能地显著扩大分析的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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