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Examining Cause-Effect Relations in the Social Sciences A Structural Causal Modelling Approach

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  • Wunsch, Guillaume
  • Mouchart, Michel
  • Russo, Federica

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  • Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2019. "Examining Cause-Effect Relations in the Social Sciences A Structural Causal Modelling Approach," LIDAM Discussion Papers ISBA 2019002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvad:2019002
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    References listed on IDEAS

    as
    1. Russo, Federica & Wunsch, Guillaume & Mouchart, Michel, 2018. "Causality in the Social Sciences: A structural modelling framework," LIDAM Discussion Papers ISBA 2018027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Francesco Billari & Alexia Prskawetz & Belinda Aparicio Diaz & Thomas Fent, 2007. "The "Wedding-Ring"," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(3), pages 59-82.
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    Cited by:

    1. M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Mouchart, Michel & Orsi, Renzo & Russo, Federica & Wunsch, Guillaume, 2020. "Time and Causality in the Social Sciences," LIDAM Discussion Papers ISBA 2020022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Zhao, Jingya & Liu, Qingchao, 2024. "Quantitative causality assessment between traffic states and crash risk in freeway segments with closely spaced entrance and exit ramps," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).

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