The Chapman & Hall/CRC Series on Statistics in Business and Economics is a comprehensive collection of cutting-edge books dedicated to advancing the understanding and application of statistical methodologies in the realms of business and economics. This series serves as a vital resource for academics, researchers, practitioners, and students seeking to leverage statistical techniques to analyze, interpret, and solve complex problems in various industries and economic sectors. Please contact us if you have an idea for a book for the series.
By Dominique Haughton, Jonathan Haughton, Victor S. Y. Lo
July 30, 2025
Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships. Establishing and ...
By Hang Qian
June 20, 2025
This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques, seamlessly integrating these scalable methods into a broad spectrum of econometric models. In addition to its ...
By Christopher P. Adams
May 08, 2025
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present game theory with algebraic formalism and toy models. This book, on the other hand, illustrates game theory concepts using real-world data and analyses problems with real policy ...
By Ian D. Gow, Tongqing Ding
December 16, 2024
This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, data analysis, and causal inference up to the point at which they conduct their own research. Starting with foundations in statistics, econometrics, causal...