Description
Impact Evaluation in Firms and Organizations provides a thorough introduction to causal inference and impact evaluation methodologies tailored for business and organizational contexts. Martin Huber covers essential techniques for measuring the true effects of interventions, policies, and programs, moving beyond simple correlations to establish genuine causality.
The book bridges theory and practice by integrating real-world applications with hands-on code examples in both R and Python. Readers will learn about randomized controlled trials, regression discontinuity, matching methods, difference-in-differences, and instrumental variables. Each method is explained with clear intuition and practical guidance on implementation, making it accessible to practitioners and researchers alike.
Whether you’re evaluating a new management strategy, assessing training programs, or measuring policy impacts, this resource equips you with the statistical tools and knowledge needed to draw credible causal conclusions from organizational data.
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