Impact Evaluation in Firms and Organizations - With Applications in R and Python

A comprehensive, nontechnical guide to the methods of data-based impact evaluation in companies and organizations, with coverage of machine learning techniques. In today''s dynamic business climate, organizations face the constant challenge of making informed decisions about their interventions, from marketing campaigns and pricing strategies to employee training programs. In this practical textbook, Martin Huber provides a concise but comprehensive guide to quantitatively assessing the impact of such efforts, enabling decision-makers to make evidence-based choices. The book introduces fundamental concepts, emphasizing the importance of causal analysis in understanding the true effects of interventions, before detailing a wide range of quantitative methods, including experimental and nonexperimental approaches. Huber then explores the integration of machine learning techniques for impact evaluation in the context of big data, sharing cutting-edge tools for data analysis. Centering real-world, global applications, this accessible text is an invaluable resource for anyone seeking to enhance their decision-making processes through data-driven insights.

Product details

• Authors: Martin Huber
• Publisher: The MIT Press
• Languages: English
• Product format: Paperback / Softback
• Released: 05.08.2025
• EAN: 9780262552929
• ISBN: 978-0-262-55292-9
• No. of pages: 160
• Dimensions: 178 mm x 229 mm x 10 mm
• Subjects: Social sciences, law, business > Business > Economics; machine learning, BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Econometrics, Economic statistics, Management decision making, Econometrics, COMPUTERS / Data Science / Machine Learning, Econometrics and economic statistics, Data capture and analysis