The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. 

The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.

As the structure of the economy has changed over the past few decades, researchers and policy makers have been increasingly concerned with how these changes affect workers. In this book, leading economists examine a variety of important trends in the new economy, including inequality of earnings and other forms of compensation, job security, employer reliance on temporary and contract workers, hours of work, and workplace safety and health.

In order to better understand these vital issues, scholars must be able to accurately measure labor market activity. Thus, Labor in the New Economy also addresses a host of measurement issues: from the treatment of outliers, imputation methods, and weighting in the context of specific surveys to evaluating the strengths and weaknesses of data from different sources. At a time when employment is a central concern for individuals, businesses, and the government, this volume provides important insight into the recent past and will be a useful tool for researchers in the future.