Julia Lane – författare

Every day, in every sector of our economy, a business shuts down while another starts up, jobs are created while others are cut, and workers are hired while others are laid off. This constant flux, or turbulence, is a defining characteristic of our free market system, yet it mostly inspires angst about unemployment, loss of earnings, and the overall competitiveness of corporations. But is this endless cycle of fluctuation really so bad for America? Might something positive be going on in the economy as a result of it? In this penetrating work, three esteemed economists seek to answer these questions by exploring the real impact of volatility on American workers and businesses alike. According to the authors, while any number of events--shifts in consumer demand, changes in technology, mergers and acquisitions, or increased competition--can contribute to economic turbulence, our economy as a whole is, by and large, stronger for it, because these processes of creation and destruction make it more flexible and adaptable. The authors also acknowledge and document the adverse consequences of this turbulence on different groups of workers and firms and discuss the resulting policy challenges. Basing their argument on an up-close look into the dealings and practices of five key industries—financial services, retail food services, trucking, semiconductors, and software—the authors demonstrate the positive effects of turbulence on career paths, employee earnings, and firm performance. The first substantial attempt to disentangle and make clear the complexities of this phenomenon in the United States, Economic Turbulence will be viewed as a major achievement and the centerpiece of any discussion on the subject for years to come.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.

Features:

New to the Second Edition:

This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.

Features:

New to the Second Edition:

This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.