Causal Analysis - Impact Evaluation and Causal Machine Learning with Applications in R

The book "Causal Analysis" by Prof. Martin Huber, which focuses on statistical methods for evaluating the causal effects of interventions or policies, such as the impact of marketing interventions on sales or public policies on health or labor market performance, has been nominated as a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category of "Computing and Information Sciences."

The book has been published by MIT Press and is available at https://mitpress.mit.edu/9780262545914/causal-analysis/.

More information about the PROSE awards 2024 is available at https://publishers.org/wp-content/uploads/2024/03/PROSE-2024-Finalists-and-Category-Winners-3.6.pdf.

Contact: Prof. Martin Huber, Chair of Applied Econometrics and Policy Evaluation

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