Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease.
Causal inference is known to be very challenging when only observational data are available. Randomized experiments are often costly and impractical and in instrumental variable regression the number ...
Marketing: ZFP – Journal of Research and Management, 40. Jahrg., H. 2 (2018), pp. 41-57 (17 pages) Both instrumental variable (IV) estimation and mediation analysis are tools for causal inference.
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
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