The Book of Why The New Science of Cause and Effect. Pearl, Judea, and Dana Mackenzie. 2018. Hachette UK.
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A review of the book The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie, published in 2018 by Hachette UK.
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References
Blyth, C. R. (1972). On Simpson's paradox and the sure-thing principle. Journal of the American Statistical Association, 67(338), 364-366. https://doi.org/10.1080/01621459.1972.10482387 DOI: https://doi.org/10.1080/01621459.1972.10482387
Burks, B. S. (1926). On the inadequacy of the partial and multiple correlation technique. Journal of Educational Psychology, 17(8), 532 - 540. https://doi.org/10.1037/h0070156 DOI: https://doi.org/10.1037/h0070156
Collier, D. (2011). Understanding process tracing. PS: Political Science & Politics, 44(4), 823-830. https://doi.org/10.1017/S1049096511001429 DOI: https://doi.org/10.1017/S1049096511001429
Cook, T.D., & Campbell, D.T. (1979). The design and conduct of true experiments and quasi-experiments in field settings. In R.T. Mowday & R.M. Steers, (Eds.), Research in organizations: Issues and controversies. Santa Monica, CA: Goodyear Publishing Company.
Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus; Giroux.
Keele, L. (2015). Causal mediation analysis: Warning! Assumptions ahead. American Journal of Evaluation, 36(4), 500-513. https://doi.org/10.1177/1098214015594689 DOI: https://doi.org/10.1177/1098214015594689
Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1), 65-75. https://doi.org/10.1016/S0020-7373(86)80040-2 DOI: https://doi.org/10.1016/S0020-7373(86)80040-2
Lewis, D. (1973). Causation. The Journal of Philosophy, 70(17), 556-567. https://doi.org/10.2307/2025310 DOI: https://doi.org/10.2307/2025310
Mayne J. (2001). Addressing attribution through contribution analysis: Using performance measures sensibly. The Canadian Journal of Program Evaluation, 16(1), 1-24. https://doi.org/10.3138/cjpe.016.001 DOI: https://doi.org/10.3138/cjpe.016.001
Pawson, R., & Tilley, N. (1997). Realistic evaluation. London: Sage.
Pearl, J. (2000). Causality: Models, reasoning and inference. Cambridge: Cambridge University Press.
Pearl, J., & Mackenzie, D. (2018). The book of why: The new science of cause and effect. New York: Basic Books.
Pearl, J., Glymour, M., & Jewell, N. P. (2016). Causal inference in statistics: A primer. West Sussex, UK: John Wiley & Sons.
Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41 DOI: https://doi.org/10.1093/biomet/70.1.41
Spirtes, P., Glymour, C. N., & Scheines, R. (2000). Causation, prediction, and search. Cambridge, Massechusetts: MIT press. https://doi.org/10.7551/mitpress/1754.001.0001 DOI: https://doi.org/10.7551/mitpress/1754.001.0001
West, S. G., & Koch, T. (2014). Restoring causal analysis to structural equation modeling. Review of causality: models, reasoning, and inference, by Judea Pearl: New York, NY: Cambridge University Press. https://doi.org/10.1080/10705511.2014.856700 DOI: https://doi.org/10.1080/10705511.2014.856700
Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557-585.
Zadeh, L. (1973). Outline of a new approach to the analysis of complex systems and decision processes. Systems, Man and Cybernetics, IEEE Transactions on, SMC-3(1), 28-44. https://doi.org/10.1109/TSMC.1973.5408575 DOI: https://doi.org/10.1109/TSMC.1973.5408575