EconPapers    
Economics at your fingertips  
 

How sensitive is the analysis of firm and employment dynamics to longitudinal linkage problems?

Karen Geurts

No 497596, Working Papers of Department of Economics, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven

Abstract: Empirical measures of firm and employment dynamics based on administrative datasets are biased due to missing links in the longitudinal observation of firms. This paper quantifies the bias in a set of widely used measures and evaluates the performance of two linkage methods in reducing bias. We find that a linkage method that builds on the continuity of the firm’s workforce is more effective for producing reliable estimates of these measures than a traditional record linking method commonly applied by statistical agencies. Using improved linkages considerably modifies results regarding the contribution of different classes of firms to employment growth. It almost completely shifts the mass of employment at entry and exit towards the smallest firms. It reduces job creation by entrants and job destruction due to exit by half and reveals a greater importance of established firms for employment growth.

Date: 2015-05
Note: paper number DPS 15.10
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in CES - Discussion paper series,, pages 1-27

Downloads: (external link)
https://lirias.kuleuven.be/retrieve/319596 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ete:ceswps:497596

Access Statistics for this paper

More papers in Working Papers of Department of Economics, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven
Bibliographic data for series maintained by library EBIB ().

 
Page updated 2025-03-30
Handle: RePEc:ete:ceswps:497596