Stephen L. Morgan – författare

How often do working-class children obtain college degrees and then pursue professional careers? Conversely, how frequently do the children of doctors and lawyers fail to enter high status careers upon completion of their schooling? As inequalities of wealth and income have increased in industrialized nations over the past 30 years, have patterns of between-generation mobility changed? In this volume, leading sociologists and economists present original findings and conceptual arguments in response to questions like these. After assessing the range of mobility patterns observed in recent decades, the volume considers the mechanisms that generate mobility, focusing on both the training and skills that are rewarded in the labor market as well as the role of educational institutions in certifying graduates for professional positions. The volume concludes with chapters that assess the contexts of social mobility, examining the impact of macroeconomic conditions and societal levels of inequality on social and economic mobility.

How often do working-class children obtain college degrees and then pursue professional careers? Conversely, how frequently do the children of doctors and lawyers fail to enter high status careers upon completion of their schooling? As inequalities of wealth and income have increased in industrialized nations over the past 30 years, have patterns of between-generation mobility changed? In this volume, leading sociologists and economists present original findings and conceptual arguments in response to questions like these. After assessing the range of mobility patterns observed in recent decades, the volume considers the mechanisms that generate mobility, focusing on both the training and skills that are rewarded in the labor market as well as the role of educational institutions in certifying graduates for professional positions. The volume concludes with chapters that assess the contexts of social mobility, examining the impact of macroeconomic conditions and societal levels of inequality on social and economic mobility.

This book brings together scholars from many disciplines to shed light on the long history of the silk roads, to redefine it, and to demonstrate its vitality and importance.Reimagining the Silk Roads illuminates economic, spiritual, and political networks, bridging different chronologies and geographies. Richly illustrated, it explores fascinating topics, including archaeological discoveries, oceanic explorations, the movement, and impact of ideas, and the ways in which the silk roads, broadly defined, contributed to processes of globalization. Reconciling the study of land and sea routes, and paying attention to themes such as material culture, environment, trade, and the role of religious faiths, the authors offer complex yet accessible studies of the history of interactions and perceptions across Eurasia over the last 3,000 years. The editors critically respond to the recent politicisation of the silk roads and reflect on their polycentric character.The book challenges and revives silk roads studies, and it will be relevant not only to researchers in archaeology, history, heritage and related fields, but also to the general reader.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

China’s transformation over the past four decades has been unprecedented. The vision of its leaders for the next three decades is unprecedented too, as China seeks to fashion an advanced economy without significant political and social liberalization.Stephen Morgan provides a wide-ranging examination of China’s remarkable economic history from the time of the great divergence to the present day. Alongside the familiar story of GDP growth, he considers a comprehensive range of issues, including business management, energy use, foreign direct investment, government, innovation and consumerism as well as social and demographic factors such as social networks, health, education and migration and their interlinked challenges for the Chinese state. The specifics of development are examined – capitalism from above and below and its regional variances – as well as notable consequences, including growing inequality and severe pollution. The book also assesses the challenges to China’s continued growth, including its ageing and shrinking workforce (and rising dependency ratio), the constraints on innovation and raising productivity, as well as its ambitious international plans.The book provides an accessible and authoritative survey of China’s recent economic history and the workings of its unique political economy suitable for courses in Asian business and economy, Chinese history and East Asian studies.

China's transformation over the past four decades has been unprecedented. The vision of its leaders for the next three decades is unprecedented too. Stephen Morgan's analysis of China's recent economic history examines the Chinese state's quest to become the first economy to avoid the "middle income trap" without significant political and social liberalization.The book examines debates about the Chinese economic story from the time of the great divergence to the present day and considers wider issues beyond the usual GDP indicators, including well-being and human capital, business and the culture of management, ageing, urbanization and sustainability, consumerism, health, education and the environment with all their interlinked challenges. Whilst all key economic data are considered in context, the book analyses the specifics of development - capitalism from above and below and regional variances - and notably inequality where China has changed from one of the most equal countries to one of the most unequal. The book concludes with a look at China's future, including concerns around the shrinking workforce (and rising dependency ratio), at innovation - vital to future progress - and productivity as well as its ambitious international projection (e.g. "One Belt One Road") and plans to fashion an advanced economy, not just the world's second largest.

What constitutes a causal explanation, and must an explanation be causal? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects?