The Pricing of Progress


Book Description

How did Americans come to quantify their society’s progress and well-being in units of money? In today’s GDP-run world, prices are the standard measure of not only our goods and commodities but our environment, our communities, our nation, even our self-worth. The Pricing of Progress traces the long history of how and why we moderns adopted the monetizing values and valuations of capitalism as an indicator of human prosperity while losing sight of earlier social and moral metrics that did not put a price on everyday life. Eli Cook roots the rise of economic indicators in the emergence of modern capitalism and the contested history of English enclosure, Caribbean slavery, American industrialization, economic thought, and corporate power. He explores how the maximization of market production became the chief objective of American economic and social policy. We see how distinctly capitalist quantification techniques used to manage or invest in railroad corporations, textile factories, real estate holdings, or cotton plantations escaped the confines of the business world and seeped into every nook and cranny of society. As economic elites quantified the nation as a for-profit, capitalized investment, the progress of its inhabitants, free or enslaved, came to be valued according to their moneymaking abilities. Today as in the nineteenth century, political struggles rage over who gets to determine the statistical yardsticks used to gauge the “health” of our economy and nation. The Pricing of Progress helps us grasp the limits and dangers of entrusting economic indicators to measure social welfare and moral goals.




Advances in Economic Measurement


Book Description

The purpose of this book is to honour D.S. Prasada Rao and his many outstanding contributions to economic measurement, including index number methods for international comparisons of prices, real incomes, output, and productivity; stochastic approaches to index numbers; purchasing power parities for the measurement of regional and global inequality and poverty; and measurement of income and economic insecurity. This book brings together contributions by well-known and influential researchers in the field of economic measurement with special focus on topics in productivity measurement (Part I); income and health inequality, inequality of opportunity, and measurement of insecurity (Part II); index number theory and applications to consumer price index numbers, international comparisons of prices and real expenditures, and housing price index numbers (Part III). The chapters are authored by eminent researchers including Conchita D’Ambrosio, Bert Balk, Erwin Diewert, Robert Hill, Robert Inklaar, Knox Lovell, Robin Sickles, Jacques Silber and Marcel Timmer. The contributed papers offer in-depth reviews of the state of the art in these areas with a focus on the existing methods and applications, making the volume an invaluable source for both experienced researchers and new researchers, including PhD and other postgraduate students.




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.




Measuring What Counts


Book Description

A bold agenda for a better way to assess societal well-being, by three of the world's leading economists and statisticians "If we want to put people first, we have to know what matters to them, what improves their well-being, and how we can supply more of whatever that is." —Joseph E. Stiglitz In 2009, a group of economists led by Nobel laureate Joseph E. Stiglitz, French economist Jean-Paul Fitoussi, and Nobel laureate Amartya Sen issued a report challenging gross domestic product (GDP) as a measure of progress and well-being. Published as Mismeasuring Our Lives by The New Press, the book sparked a global conversation about GDP and a major movement among scholars, policy makers, and activists to change the way we measure our economies. Now, in Measuring What Counts, Stiglitz, Fitoussi, and Martine Durand—summarizing the deliberations of a panel of experts on the measurement of economic performance and social progress hosted at the OECD, the international organization incorporating the most economically advanced countries—propose a new, "beyond GDP" agenda. This book provides an accessible overview of the last decade's global movement, sparked by the original critique of GDP, and proposes a new "dashboard" of metrics to assess a society's health, including measures of inequality and economic vulnerability, whether growth is environmentally sustainable, and how people feel about their lives. Essential reading for our time, it also serves as a guide for policy makers and others on how to use these new tools to fundamentally change the way we measure our lives—and to plot a radically new path forward.




Measuring the Digital Economy A New Perspective


Book Description

This report presents indicators traditionally used to monitor the information society and complements them with experimental indicators that provide insight into areas of policy interest.




The Economics of Poverty


Book Description

There are fewer people living in extreme poverty in the world today than 30 years ago. While that is an achievement, continuing progress for poor people is far from assured. Inequalities in access to key resources threaten to stall growth and poverty reduction in many places. The world's poorest have made only a small absolute gain over those 30 years. Progress has been slow against relative poverty as judged by the standards of the country and time one lives in, and a great many people in the world's emerging middle class remain vulnerable to falling back into poverty. The Economics of Poverty reviews critically past and present debates on poverty, spanning both rich and poor countries. The book provides an accessible new synthesis of current economic thinking on key questions: How is poverty measured? How much poverty is there? Why does poverty exist, and is it inevitable? What can be done to reduce poverty? Can it even be eliminated? The book does not assume that readers know economics already. Those new to the subject get a lot of help along the way in understanding its concepts and methods. Economics lives through its relevance to real world problems, and here the problem of poverty is both the central focus and a vehicle for learning.




For Good Measure


Book Description

Today's leading economists weigh in with a new "dashboard" of metrics for measuring our economic and social health "What we measure affects what we do. If we focus only on material well-being—on, say, the production of goods, rather than on health, education, and the environment—we become distorted in the same way that these measures are distorted." —Joseph E. Stiglitz A consensus has emerged among key experts that our conventional economic measures are out of sync with how most people live their lives. GDP, they argue, is a poor and outmoded measure of our well-being. The global movement to move beyond GDP has attracted some of the world's leading economists, statisticians, and social thinkers who have worked collectively to articulate new approaches to measuring economic well-being and social progress. In the decade since the 2008 economic crisis, these experts have come together to determine what indicators can actually tell us about people's lives. In the first book of its kind, leading economists from around the world, including Thomas Piketty, Emmanuel Saez, Elizabeth Beasely, Jacob Hacker, François Bourguignon, Nora Lustig, Alan B. Krueger, and Joseph E. Stiglitz, describe a range of fascinating metrics—from economic insecurity and environmental sustainability to inequality of opportunity and levels of trust and resilience—that can be used to supplement the simplistic measure of gross domestic product, providing a far more nuanced and accurate account of societal health and well-being. This groundbreaking volume is sure to provide a major source of ideas and inspiration for one of the most important intellectual movements of our time.




Mismeasuring Our Lives


Book Description

In February of 2008, amid the looming global financial crisis, President Nicolas Sarkozy of France asked Nobel Prize-winning economists Joseph Stiglitz and Amartya Sen, along with the distinguished French economist Jean Paul Fitoussi, to establish a commission of leading economists to study whether Gross Domestic Product (GDP) - the most widely used measure of economic activity - is a reliable indicator of economic and social progress. The Commission was given the further task of laying out an agenda for developing better measures. Mismeasuring Our Lives is the result of this major intellectual effort, one with pressing relevance for anyone engaged in assessing how and whether our economy is serving the needs of our society. The authors offer a sweeping assessment of the limits of GDP as a measurement of the well-being of societies - considering, for example, how GDP overlooks economic inequality (with the result that most people can be worse off even though average income is increasing); and does not factor environmental impacts into economic decisions.In place of GDP, Mismeasuring Our Lives introduces a bold new array of concepts, from sustainable measures of economic welfare, to measures of savings and wealth, to a ''green GDP.'' At a time when policymakers worldwide are grappling with unprecedented global financial and environmental issues, here is an essential guide to measuring the things that matter.




The Mismeasure of Progress


Book Description

Few ideas in the past century have had wider financial, political, and governmental impact than that of economic growth. The common belief that endless economic growth, as measured by Gross Domestic Product, is not only possible but actually essential for the flourishing of civilization remains a powerful policy goal and aspiration for many. In The Mismeasure of Progress, Stephen J. Macekura exposes a historical road not taken, illuminating the stories of the activists, intellectuals, and other leaders who long argued that GDP growth was not all it was cracked up to be. Beginning with the rise of the growth paradigm in the 1940s and 1950s and continuing through the present day, The Mismeasure of Progress is the first book on the myriad thinkers who argued against growth and the conventional way progress had been measured and defined. For growth critics, questioning the meaning and measurement of growth was a necessary first step to creating a more just, equal, and sustainable world. These critics argued that focusing on growth alone would not resolve social, political, and environmental problems, and they put forth alternate methods for defining and measuring human progress. ?In today’s global political scene—marked by vast inequalities of power and wealth and made even more fraught by a global climate emergency—the ideas presented by these earlier critics of growth resonate more loudly than ever. Economic growth appealed to many political leaders because it allowed them to avoid addressing political trade-offs and class conflict. It sustained the fiction that humans are somehow separate from nonhuman “nature,” ignoring the intimate and dense connections between the two. In order to create a truly just and equitable society, Macekura argues, we need a clear understanding of our collective needs beyond growth and more holistic definitions of progress that transcend economic metrics like GDP.




Measurement of Productivity and Efficiency


Book Description

Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.