Julia Lane

Stefan Bender

Kathryn L. Shaw

Fredrik Andersson

Till von Wachter

The long-term impact of globalization, outsourcing, and technological change on workers is increasingly being studied by economists. At the nexus of labor economics, industry studies, and industrial organization, The Analysis of Firms and Employees presents new findings about these impacts by examining the interaction between the internal workings of businesses and outside influences from the market using data from countries around the globe. The result is enhanced insight into the dynamic interrelationship between firms and workers. A distinguished team of researchers here examines the relationships between human resource practices and productivity, changing ownership and production methods, and expanding trade patterns and firm competitiveness. With analyses of large-scale, nationwide datasets as well as focused, intensive observation of a few firms, The Analysis of Firms and Employees will challenge economists, policymakers, and scholars alike to rethink their assumptions about the workplace.

Quantitative and Qualitative Approaches

The Analysis of Firms and Employees

Ron S. Jarmin

Ian Foster

Frauke Kreuter

Rayid Ghani

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: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter 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.

Data Science Methods and Tools for Research and Practice

Big Data and Social Science

Why America's data system is broken, and how to fix it. Why, with data increasingly important, available, valuable and cheap, are the data produced by the American government getting worse and costing more? State and local governments rely on population data from the US Census Bureau; prospective college students and their parents can check data from the National Center for Education Statistics; small businesses can draw on data about employment and wages from the Bureau of Labor Statistics. But often the information they get is out of date or irrelevant, based on surveys--a form of information gathering notorious for low response rates. In A Data Manifesto, Julia Lane argues that bad data is bad for democracy. Her book is a wake-up call to America to fix its broken public data system.

A Manifesto

Democratizing Our Data

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

A Practical Guide to Methods and Tools

Helen Nissenbaum

Victoria Stodden

Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

Privacy, Big Data, and the Public Good

Clair Brown

John Haltiwanger

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.

Julia Lane

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