Measuring Entrepreneurial Businesses


Book Description

Measuring Entrepreneurial Businesses: Current Knowledge and Challenges brings together and unprecedented group of economists, data providers, and data analysts to discuss research on the state of entrepreneurship and to address the challenges in understanding this dynamic part of the economy. Each chapter addresses the challenges of measuring entrepreneurship and how entrepreneurial firms contribute to economies and standards of living. The book also investigates heterogeneity in entrepreneurs, challenges experienced by entrepreneurs over time, and how much less we know than we think about entrepreneurship given data limitations. This volume will be a groundbreaking first serious look into entrepreneurship in the NBER's Income and Wealth series.




Development in Turbulent Times


Book Description

This open access book explores the most recent trends in the EU in terms of development, progress, and performance. Ten years after the 2008 economic crisis, and amidst a digital revolution that is intensifying the development race, the European Union, and especially Central and Eastern Europe, are ardently searching for their development priorities. Against this background, by relying on a cross-national perspective, the authors reflect upon the developmental challenges of the moment, such as sustainable development, reducing inequality, ensuring social cohesion, and driving the digital revolution. They particularly focus on the relation between the less-developed Eastern part of the EU and its more developed Western counterpart, and discuss the consequences of this development gap in detail. Lastly, the book presents a range of case studies from different areas of governance, such as economy and commerce, health services, education, migration and public opinion in order to investigate the trends most likely to impact the European Union's medium and long-term development.




Measuring Capital in the New Economy


Book Description

As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.




The Long Shadow of Informality


Book Description

A large percentage of workers and firms operate in the informal economy, outside the line of sight of governments in emerging market and developing economies. This may hold back the recovery in these economies from the deep recessions caused by the COVID-19 pandemic--unless governments adopt a broad set of policies to address the challenges of widespread informality. This study is the first comprehensive analysis of the extent of informality and its implications for a durable economic recovery and for long-term development. It finds that pervasive informality is associated with significantly weaker economic outcomes--including lower government resources to combat recessions, lower per capita incomes, greater poverty, less financial development, and weaker investment and productivity.




Developing New National Data on Social Mobility


Book Description

Developing New National Data on Social Mobility summarizes a workshop convened in June 2013 to consider options for a design for a new national survey on social mobility. The workshop was sponsored by the National Science Foundation and convened by the Committee on Population and the Committee on National Statistics Division of Behavioral and Social Sciences and Education of the National Research Council. Scientific experts from a variety of social and behavioral disciplines met to plan a new national survey on social mobility that will provide the first definitive evidence on recent and long-term trends in social mobility, with the objectives of coming to an understanding of the substantial advances in the methods and statistics for modeling mobility, in survey methodology and population-based survey experiments, in opportunities to merge administrative and survey data, and in the techniques of measuring race, class, education, and income. The workshop also focused on documenting the state of understanding of the mechanisms through which inequality is generated in the past four decades. In the absence of a survey designed and dedicated to the collection of information to assess the status of social mobility, a wide variety of data sources designed for other purposes have been pressed into service in order to illuminate the state of social mobility and its trends. Developing New National Data on Social Mobility discusses the key decision points associated with launching a new national level survey of social mobility. This report considers various aspects of a major new national survey, including identifying relevant new theoretical perspectives and technical issues that have implications for modeling, measurement, and data collection.




Challenges of the Modern Economy


Book Description

The book focuses on a systemic study of the challenges of the modern economy and related problems and areas of sustainable development of countries, regions, and businesses, with particular attention paid to the new prospects offered by the spread of digital technology. The book’s contribution to the literature is that it reveals the specifics and digital perspectives of supporting the SDGs in the economy at every level of the economy: country, regional, and corporate, considering sectoral specificities—this is reflected in six parts of the book. Part 1 identifies contemporary challenges of the modern economy as barriers to sustainable development. Part 2 reflects the future direction of sustainable development of the countries. Part 3 considers the problems and prospects for sustainable development of regions. Part 4 focuses on the problems and prospects for the sustainable development of enterprises and industries. Part 5 sheds light on the economic and legal foundations and cooperative mechanisms of sustainable development. Part 6 offers recommendations for enhancing the use of digital technologies offered by Industry 4.0 to support the SDGs. Scientists whose research interests include sustainable economic development are the primary target audience for this book. For the primary target audience, the book forms a systemic view of the global challenges of sustainable development and offers a set of scientific and methodological recommendations to provide an effective response to these challenges at every level of the economy. An additional audience for the book is practicing experts, who will find international best practices and applied recommendations to support sustainable economic development and implementation of the SDGs in the practice of state (national regulation and public administration of the region) and corporate (in various industries) management.




Measuring and Sustaining the New Economy


Book Description

Sustaining the New Economy will require public policies that remain relevant to the rapid technological changes that characterize it. While data and its timely analysis are key to effective policy-making, we do not yet have adequate statistical images capturing changes in productivity and growth brought about by the information technology revolution. This report on a STEP workshop highlights the need for more information and the challenges faced in measuring the New Economy and sustaining its growth.




Big Data for Twenty-First-Century Economic Statistics


Book Description

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.




GDP


Book Description

How GDP came to rule our lives—and why it needs to change Why did the size of the U.S. economy increase by 3 percent on one day in mid-2013—or Ghana's balloon by 60 percent overnight in 2010? Why did the U.K. financial industry show its fastest expansion ever at the end of 2008—just as the world’s financial system went into meltdown? And why was Greece’s chief statistician charged with treason in 2013 for apparently doing nothing more than trying to accurately report the size of his country’s economy? The answers to all these questions lie in the way we define and measure national economies around the world: Gross Domestic Product. This entertaining and informative book tells the story of GDP, making sense of a statistic that appears constantly in the news, business, and politics, and that seems to rule our lives—but that hardly anyone actually understands. Diane Coyle traces the history of this artificial, abstract, complex, but exceedingly important statistic from its eighteenth- and nineteenth-century precursors through its invention in the 1940s and its postwar golden age, and then through the Great Crash up to today. The reader learns why this standard measure of the size of a country’s economy was invented, how it has changed over the decades, and what its strengths and weaknesses are. The book explains why even small changes in GDP can decide elections, influence major political decisions, and determine whether countries can keep borrowing or be thrown into recession. The book ends by making the case that GDP was a good measure for the twentieth century but is increasingly inappropriate for a twenty-first-century economy driven by innovation, services, and intangible goods.