Home : Book details : Book description

Description of  Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R

0262545918 epub A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning. Reasoning about cause and effectthe consequence of doing one thing versus anotheris an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated causal analysis only deepens. Presenting the most important quantitative methods for evaluating causal effects, this textbook provides graduate students and researchers with a clear and comprehensive introduction to the causal analysis of empirical data. Martin Hubers accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation. Read more