A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning. Reasoning about cause and effect—the consequence of doing one thing versus another—is 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 Huber’s accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation. Causal Analysis covers several methodological developments not covered in other texts, including new trends in machine learning, the evaluation of interaction or interference effects, and recent research designs such as bunching or kink designs. Most complete and cutting-edge introduction to causal analysis, including causal machine learning Clean presentation of rigorous material avoids extraneous detail and emphasizes conceptual analogies over statistical notation Supplies a range of applications and practical examples using R
This is the first book to fully examine, from an evolutionary point of view, the association of social status and fertility in human societies before, during, and after the demographic transition. In most nonhuman social species, social status or relative rank in a social group is positively associated with the number of offspring, with high-status individuals typically having more offspring than low-status individuals. However, humans appear to be different. As societies have gotten richer, fertility has dipped to unprecedented lows, with some developed societies now at or below replacement fertility. Within rich societies, women in higher-income families often have fewer children than women in lower-income families. Evolutionary theory suggests that the relationship between social status and fertility is likely to be somewhat different for men and women, so it is important to examine this relationship for men and women separately. When this is done, the positive association between individual social status and fertility is often clear in less-developed, pre-transitional societies, particularly for men. Once the demographic transition begins, it is elite families, particularly the women of elite families, who lead the way in fertility decline. Post-transition, the evidence from a variety of developed societies in Europe, North America and East Asia is that high-status men (particularly men with high personal income) do have more children on average than lower-status men. The reverse is often true of women, although there is evidence that this is changing in Nordic countries. The implications of these observations for evolutionary theory are also discussed. This book will be of interest to students and researchers in the social sciences with an interest in evolutionary sociology, evolutionary anthropology, evolutionary psychology, demography, and fertility.
This book offers fresh insights into innovation management and its prerequisites. Based on these insights, the authors present a new and proven innovation system, which is being used in practice and has the potential to significantly increase the ability of enterprises to innovate. Starting with the innovation dilemma that enterprises face, the book analyses the concept of innovation as it is (mis)understood in practice, and identifies the missing element in current innovation theories - the innovation gap. Further, it asks whether today's enterprises are well suited for innovation and then describes a solution to the problems identified. The book also introduces a new and important element of the revised innovation process called “Exploration”. From leadership issues to building a strong innovation model, it offers state-of-the-art knowledge, which can significantly boost the chances of innovation succeeding in enterprises.
Joanna Huber a 10 year old mennonite girl doesn't want to move from her home in Fayette County Pennsylvania to the wild frontier of southern Ohio. Despite her misgivings Joanna's family and four other families pack their belongings into Coneitoga wagons and head out. Indians, bears and river pirates all help young Joanna forge out her faith in the new frontier.
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