Rupture conventionnelle, destructions d'emplois et licenciements: une analyse empirique sur données d'entreprises (2006-2009)

Camille Signoretto

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: In 2008, a new legal termination of long-term contract (CDI) called "the rupture conventionnelle" was enacted. The aim of this article is first to analyze the impact of this new termination on the employers' fire decisions and then to provide empirical evidence of a substitution between the "rupture conventionnelle" and other terminations. Using two matched firms' datasets, one from workers'movement data (EMMO-DMMO) and another from accounting data (EAE), our database includes a firms' sample over four consecutive years from 2006 to 2009. We use the difference-in-differences method combined with a propensity score matching to control selection bias and thus to create two similar firms' groups: those that used the "rupture conventionnelle" and those not. Our main results indicate that the introduction of the "rupture conventionnelle" in crisis times tends to increase workforce exits and many more job destruction. However, we do not find any evidence of a substitution between the RC and the firing for personal reasons, which have become more expensive and riskier.

Keywords: Employment protection; firing; job destruction; firm database; difference-in-differences; propensity score matching; Rupture conventionnelle; destruction d'emplois; données d'entreprises; score de propension; doubles différences; protection de l'emploi (search for similar items in EconPapers)
Date: 2013-10
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00881193
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Published in 2013

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Working Paper: Rupture conventionnelle, destructions d'emplois et licenciements: une analyse empirique sur données d'entreprises (2006-2009) (2013)
Working Paper: Rupture conventionnelle, destructions d'emplois et licenciements: une analyse empirique sur données d'entreprises (2006-2009) (2013)
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