Causality in the Social Sciences: a structural modelling framework

Author:

Russo Federica,Wunsch Guillaume,Mouchart MichelORCID

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference22 articles.

1. Fagiolo, G., Moneta, A., Windrum, P.: A critical guide to empirical validation of agent-based models in economics: methodologies, procedures, and open problems. Comput. Econ. 30, 195–226 (2007)

2. Gourbin, C., Wunsch, G., Moreau, L., Guillaume, A.: Direct and indirect paths leading to contraceptive use in urban Africa. An application to Burkina Faso, Ghana, Morocco and Senegal. Rev. Quetelet/Quetelet J. 5(1), 33–70 (2017)

3. Hood, W.C., Koopmans, T.C. (eds.): Studies in econometric methods, Cowles Foundation Monograph 14. Wiley, New-York (1953)

4. Illari, P., Russo, F.: Causality: philosophical theory meets scientific practice. Oxford University Press, Oxford (2014)

5. Johnson, R.B., Russo, F., Schoonenboom, J.: Causation in mixed methods research: the meeting of philosophy, science, and practice. J. Mixed Methods Res. (2017). https://doi.org/10.1177/1558689817719610

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1. Big Data, Demography, and Causality;Open Journal of Social Sciences;2024

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3. Hierarchies, Networks, and Causality: The Applied Evolutionary Epistemological Approach;Journal for General Philosophy of Science;2021-06

4. Causal assessment in demographic research;Genus;2020-07-23

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