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L’attrition dans l’enquête SRCV : déterminants et effets sur la mesure des variables monétaires

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  • Carine Burricand
  • Jean-Paul Lorgnet

Abstract

[fre] Cette étude vise à mesurer l’attrition et ses effets sur le revenu disponible et ses composantes dans l’enquête sur les revenus et les conditions de vie des ménages en France. Cette enquête est basée sur un échantillon rotatif dont les individus sont suivis durant neuf années. Six individus sur dix ne font déjà plus partie de l’échantillon au moment de la huitième interrogation. La mobilité résidentielle est la principale cause de cette attrition. Avoir connu une situation de pauvreté l’année précédente favorise également la non‑réponse, ainsi qu’être inactif ou en mauvais état de santé. La non‑réponse s’accroît également lors d’un changement d’enquêteur. . . Les effets de cette attrition sont corrigés par repondération. On teste l’efficacité de ces . redressements en comparant les revenus de 2003 mesurés sur l’ensemble des répondants de 2004 et ceux qui sont mesurés sur les échantillons de plus en plus restreints des répondants aux vagues 2005 à 2011, après repondérations. Pour le revenu global, les écarts restent systématiquement inférieurs à 2 % environ, avec un léger pic en quatrième interrogation. Les biais après redressements sont également faibles pour la plupart des composantes du revenu : salaires, prestations familiales, allocations logement, allocations chômage. En revanche il subsiste un biais sur les retraites qui croît continument d’une réinterrogation à l’autre. Ce biais subsiste même après prise en compte de la mortalité différentielle par catégorie sociale et il ne semble pas non plus explicable par l’intensité des départs en institution.

Suggested Citation

  • Carine Burricand & Jean-Paul Lorgnet, 2014. "L’attrition dans l’enquête SRCV : déterminants et effets sur la mesure des variables monétaires," Économie et Statistique, Programme National Persée, vol. 469(1), pages 19-35.
  • Handle: RePEc:prs:ecstat:estat_0336-1454_2014_num_469_1_10422
    DOI: 10.3406/estat.2014.10422
    Note: DOI:10.3406/estat.2014.10422
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    References listed on IDEAS

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    1. Lynn, Peter & Fumagalli, Laura & Laurie, Heather, 2010. "Experiments with methods to reduce attrition in longitudinal surveys," ISER Working Paper Series 2010-04, Institute for Social and Economic Research.
    2. Lynn, Peter & Laurie, Heather, 2008. "The use of respondent incentives on longitudinal surveys," ISER Working Paper Series 2008-42, Institute for Social and Economic Research.
    3. Laura Fumagalli & Heather Laurie & Peter Lynn, 2013. "Experiments with methods to reduce attrition in longitudinal surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 499-519, February.
    4. Daniel H. Hill & Robert J. Willis, 2001. "Reducing Panel Attrition: A Search for Effective Policy Instruments," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 416-438.
    5. Lynn, Peter & Kaminska, Olena & Goldstein, Harvey, 2011. "Panel attrition: how important is it to keep the same interviewer?," ISER Working Paper Series 2011-02, Institute for Social and Economic Research.
    6. Noah Uhrig, S.C., 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
    7. Oliver Lipps, 2009. "Attrition of Households and Individuals in Panel Surveys," SOEPpapers on Multidisciplinary Panel Data Research 164, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    2. Angela Greulich & Aurélien Dasre, 2017. "Fertility Analysis with EU-SILC: A Quantification of Measurement Bias," Post-Print halshs-01440519, HAL.

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