Measuring Negative Causal Impact of Product Launches Using Constrained Shapley-based Causal Inference
Keywords:
Causal inference, Shapley values, Negative attribution, Heterogeneous treatment effects, Uplift modeling, Product valuation, Feature valuationAbstract
In modern e-commerce platforms, product launches are frequently accompanied by theintroduction of multiple user interface features such as widgets, pills, and layered componentsacross diverse digital touchpoints. While the overall business impact of such launches is typicallypositive, individual features
References
P. R. Rosenbaum, D. B. Rubin, The central role of the propensity score in observational studies for causal
effects, Biometrika 70 (1) (1983) 41–55.
K. Hirano, G. W. Imbens, Estimation of causal effects using propensity score weighting, Econometrica 69 (1)
(2001) 69–95.
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Published
2025-05-28
How to Cite
Dharmateja Priyadarshi Uddandarao. (2025). Measuring Negative Causal Impact of Product Launches Using Constrained Shapley-based Causal Inference. Journal of Computational Analysis and Applications (JoCAAA), 34(5), 201–209. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2882
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