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"This volume contains revised versions of the papers presented at the Conference on Research in Income and Wealth entitled "Education, Skills, and Technical Change: Implications for Future U.S.GDP Growth," held in Bethesda, Maryland, on October 16-17, 2015"--Publisher info.
"Measuring innovation is a challenging task, both for researchers and for national statisticians. This task is timely and valuable given that policy and public interest in innovation has become increasingly intense in this era of digital revolution, yet National GDP Accounts and other economic statistics do not fully account for the wide range of innovative activity that is plainly evident in everyday experience. Indeed, innovation has in many ways changed the structure of an increasingly digitized marketplace, from cloud computing to the gig economy. The papers collected in this volume, Measuring and Accounting for Innovation in the Twenty-First Century, address many different dimensions of this challenge, ranging from how to best to define GDP to the fundamental question of what is an innovation and how to collect data at the level of an individual innovation. Taken together, the volume provides a comprehensive overview of the cutting-edge of this widely varied but thematically-connected research that draws on multiple methodologies and data. The editors and authors consider how measurement frameworks could be expanded to enhance our understanding of innovative activity; new approaches and evidence that could account for innovation's economic impact; innovation's effect across the economy, from production processes to labor markets and financial activities; and what practical adjustments could be made to current measurements that would better capture innovation. The distinctive stance of this volume makes clear that the challenge of measuring innovation and understanding its implications has become increasingly complex as the economy has evolved. The editors and authors show that the limitations of our existing measurement system significantly hinder researchers, analysts, and policymakers. Better measures of innovative activity are necessary to interpret the consequences of innovation in daily life and to inform policies that best promote the attendant benefits, including distribution of income, trademark protections, and more. Now, in an era of fake news and alternative facts, it is more important than ever to push for accuracy in basic economic facts"--
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