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L’accès aux données très détaillées pour la recherche scientifique

Author

Listed:
  • Nathalie Picard
  • Kamel Gadouche

    () (Université de Cergy-Pontoise, THEMA)

Abstract

L'accès aux micro-données confidentielles constitue un enjeu stratégique pour les chercheurs dans de nombreuses disciplines allant des sciences sociales, de l'économie ou du transport à l'épidémiologie ou la santé, en passant par l’éducation ou la justice, en particulier dans le cadre de l'évaluation des politiques publiques ciblées. Les pouvoirs publics en France ont pris pleinement conscience de ces enjeux scientifiques, et de nouveaux dispositifs législatifs ont été votés pour faciliter l’accès des chercheurs aux données. Les pouvoirs publics français ont récemment ouvert de nouvelles possibilités d’appariements entre des sources de données distinctes dans des conditions très encadrées de sécurité. Nous proposons un tour d’horizon des besoins des chercheurs, des enjeux en matière d’évaluation de politiques publiques et des possibilités offertes par de telles données.

Suggested Citation

  • Nathalie Picard & Kamel Gadouche, 2017. "L’accès aux données très détaillées pour la recherche scientifique," THEMA Working Papers 2017-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  • Handle: RePEc:ema:worpap:2017-06
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    File URL: http://thema.u-cergy.fr/IMG/pdf/2017-06.pdf
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    More about this item

    Keywords

    Big data; accès sécurisé; confidentialité; appariement; données administratives; évaluation; politiques publiques; panel; endogénéité;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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