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La régression sur discontinuité

Author

Listed:
  • Denis Fougère

    (CNRS - Centre National de la Recherche Scientifique, LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, CEPR - Center for Economic Policy Research - CEPR, IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics, CRIS - Centre de recherche sur les inégalités sociales (Sciences Po, CNRS) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique)

  • Nicolas Jacquemet

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

La régression sur discontinuité est une méthode quantitative quasi-expérimentale qui évalue l'impact d'une intervention en comparant les observations qui se situent à proximité d'un seuil d'éligibilité fixé par les autorités en charge de la politique étudiée. L'existence d'un tel seuil (par exemple, l'éligibilité à la politique à partir de tel âge, ou en dessous de tel niveau de revenu) permet en effet de reconstituer un groupe cible et un groupe de contrôle, de façon analogue à une démarche expérimentale.

Suggested Citation

  • Denis Fougère & Nicolas Jacquemet, 2023. "La régression sur discontinuité," SciencePo Working papers Main hal-04103335, HAL.
    • Handle: RePEc:hal:spmain:hal-04103335
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-04103335
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