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Firm Data Analysis in Linked Employer-Employees Datasets

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  • Roberto Leombruni

Abstract

In linked employer-employee databases, when the employees are sampled first and then the employers data are attached, the set of firms that enter the sample is biased towards the large dimension. In this paper I discuss two strategies to impute inflating factors to the employers’ records, and to obtain a sample representative of the entire population of firms. A comparison between the two strategies is made with the help of Monte Carlo simulations. As an application, I build a rotating panel of Italian firms from a linked employer-employee longitudinal database of administrative source for the years 1986 to 1998, and compare some stylised facts derived on it with the existing knowledge on Italian firms’ size distribution.

Suggested Citation

  • Roberto Leombruni, 2003. "Firm Data Analysis in Linked Employer-Employees Datasets," LABORatorio R. Revelli Working Papers Series 27, LABORatorio R. Revelli, Centre for Employment Studies.
    • Handle: RePEc:cca:wplabo:27
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    References listed on IDEAS

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    1. Eric Bartelsman & Stefano Scarpetta & Fabiano Schivardi, 2003. "Comparative Analysis of Firm Demographics and Survival: Micro-Level Evidence for the OECD Countries," OECD Economics Department Working Papers 348, OECD Publishing.
    2. Sanghoon Ahn, 2001. "Firm Dynamics and Productivity Growth: A Review of Micro Evidence from OECD Countries," OECD Economics Department Working Papers 297, OECD Publishing.
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    Cited by:

    1. Nathalie Greenan & Edward Lorenz, 2013. "Developing harmonized measures of the dynamics of organizations and work," Chapters, in: Fred Gault (ed.), Handbook of Innovation Indicators and Measurement, chapter 10, pages 247-278, Edward Elgar Publishing.
    2. Nathlie Greenan & Majda Seghir, 2015. "Inventory of linked employer-employee surveys on working conditions and health and safety issues [Inventaire des enquêtes couplées employeurs-salariés sur les conditions de travail et les enjeux de," Working Papers halshs-01376974, HAL.

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    More about this item

    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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