National Bureau of Economic Research Studies in Income and Wealth – serie

Although inflation is much feared for its negative effects on the economy, how to measure it is a matter of considerable debate that has important implications for interest rates, monetary supply, and investment and spending decisions. Underlying many of these issues is the concept of the Cost-of-Living Index (COLI) and its controversial role as the methodological foundation for the Consumer Price Index. "Price Index Concepts and Measurements" brings together leading experts to address the many questions involved in conceptualizing and measuring inflation. They evaluate the accuracy of COLI, a Cost-of-Goods Index, and a variety of other methodological frameworks as the bases for consumer price construction.

These classic studies of the history of economic change in 19th- and 20th-century United States, Canada, and British West Indies examine national product; capital stock and wealth; and fertility, health, and mortality. "A 'must have' in the library of the serious economic historian."—Samuel Bostaph, Southern Economic Journal

The data from bar-code scanners offers a number of attractive features for economists and statisticians, because they are collected continuously, are available quickly and record prices for all items sold, not just a sample. But scanner data also presents a number of difficulties for current statistical systems. This book assesses both the promise and the challenges of using scanner data to produce economic statistics. Three papers present the results of work in progress at statistical agencies in the US, UK and Canada, including a project to incorporate scanner data into the monthly Consumer Price Index. Other papers demonstrate the potential of using scanner data to test economic theories.

Is the fall in overall productivity growth in the United States and other developed countries related to the rising share of the service sectors in the economy? Since services represent well over half of the U.S. gross national product, it is also important to ask whether these sectors have had a slow rate of growth, as this would act as a major drag on the productivity growth of the overall economy and on its competitive performance. In this timely volume, leading experts from government and academia argue that faulty statistics have prevented a clear understanding of these issues.

Emerging from the ruins of the Second World War, the Japanese economy has grown at double-digit rate throughout much of the 1950s and 1960s, and, when the oil crisis of the 1970s slowed growth throughout the industrialized world, Japanese growth throughout the industrialized world, Japanese growth rates remained relatively strong. There have been many attempts by scholars from a wide range of disciplines to explain this remarkable history, but for economists interested in the quantitative analysis of economic growth and the principal question addressed is how Japan was able to grow so rapidly. The contributors focus their efforts on the accurate measurement and comparison of Japanese and U.S. economic growth. Assuming that any sustained increase in real GNP must be due either to an increase in the quantity of capital and labor used in production or to the more efficient use of these inputs, the authors analyze the individual contributions of various factors and their importance in the process of output growth. These essays extend the methodology of growth analysis and offer many insights into the factors leading to the superior performance of the Japanese economy. They demonstrate that growth is a complex process and no single factor can explain the Japanese 'miracle.'

Start-ups and other entrepreneurial ventures make a significant contribution to the US economy, particularly in the tech sector, where they comprise some of the largest and most influential companies. Yet for every high-profile, high-growth company like Apple, Facebook, Microsoft, and Google, many more fail. This enormous heterogeneity poses conceptual and measurement challenges for economists concerned with understanding their precise impact on economic growth. Measuring Entrepreneurial Businesses brings together economists and data analysts to discuss the most recent research covering three broad themes. The first chapters isolate high- and low-performing entrepreneurial ventures and analyze their roles in creating jobs and driving innovation and productivity. The next chapters turn the focus on specific challenges entrepreneurs face and how they have varied over time, including over business cycles. The final chapters explore core measurement issues, with a focus on new data projects under development that may improve our understanding of this dynamic part of the economy.

Health care costs represent a nearly 18% of U.S. gross domestic product and 20% of government spending. While there is detailed information on where these health care dollars are spent, there is much less evidence on how this spending affects health.             The research in Measuring and Modeling Health Care Costs seeks to connect our knowledge of expenditures with what we are able to measure of results, probing questions of methodology, changes in the pharmaceutical industry, and the shifting landscape of physician practice. The research in this volume investigates, for example, obesity’s effect on health care spending, the effect of generic pharmaceutical releases on the market, and the disparity between disease-based and population-based spending measures. This vast and varied volume applies a range of economic tools to the analysis of health care and health outcomes.Practical and descriptive, this new volume in the Studies in Income and Wealth series is full of insights relevant to health policy students and specialists alike.

Measuring innovation is a challenging task, both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growth in importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and on prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to and data sources for measurement, such as collecting data for a particular innovation as opposed to a firm and using trademarks for tracking innovation. They also consider the connections between university-based R&D and business start-ups and the potential impacts of innovation on income distribution. The research suggests strategies for expanding current measurement frameworks to better capture innovative activity, including developing more detailed tracking of global value chains to identify innovation across time and space and expanding the measurement of innovation’s impacts on GDP in fields such as consumer content delivery and cloud computing.

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.

A collection of twenty-three studies that explore the latest developments in the analysis of income and wealth distribution and mobility.Economic research is increasingly focused on inequality in the distribution of personal resources and outcomes. One aspect of inequality is mobility: are individuals locked into their respective places in this distribution? To what extent do circumstances change, either over the lifecycle or across generations? Research not only measures inequality and mobility, but also analyzes the historical, economic, and social determinants of these outcomes and the effect of public policies. This volume explores the latest developments in the analysis of income and wealth distribution and mobility. The collection of twenty-three studies is divided into five sections. The first examines observed patterns of income inequality and shifts in the distribution of earnings and in other factors that contribute to it. The next examines wealth inequality, including a substantial discussion of the difficulties of defining and measuring wealth. The third section presents new evidence on the intergenerational transmission of inequality and the mechanisms that underlie it. The next section considers the impact of various policy interventions that are directed at reducing inequality. The final section addresses the challenges of combining household-level data, potentially from multiple sources such as surveys and administrative records, and aggregate data to study inequality, and explores ways to make survey data more comparable with national income accounts data.

An essential collection at the intersection of globalization, production supply chains, corporate finance regulation, and economic measurement.The substantial increase in the complexity of global supply chains and other production arrangements over the past three decades has challenged some traditional measures of national income account aggregates and raised the potential for distortions in conventional calculations of GDP and productivity. This volume examines a variety of multinational business activities and assesses their impact on economic measurement. Several chapters consider how global supply chains complicate the interpretation of traditional trade statistics and how new measurement techniques can provide information about global production arrangements. Other chapters examine the role of intangible capital in global production, including the output of factoryless goods producers and the problems of measuring R&D in a globalized world. The studies in this volume also explore potential ways to enhance the quality of the national accounts by improving data collection and analysis and by updating the standards for measurement.

A wide-reaching exploration of how technological advancements influence and shape productivity and economic growth.Current technological developments in several industries, such as the rise of artificial intelligence and innovations associated with the green energy transition, are likely to have significant and wide-ranging effects. This volume explores the implications of rapid changes in advanced technology and considers how to conceptualize and model these advances and improve measures of productivity and economic growth. The study of these issues is facilitated both by new methods for using and integrating disparate data sources and by the availability of new data sources. The chapters in this volume leverage these developments to offer fresh insights into long-standing issues in productivity analysis and technological change.

Provides strategies and approaches for integrating natural capital into environmental statistics.While the importance of natural resources and the contributions of the environment to welfare are apparent, traditional national income and wealth accounting practices do not measure or value environmental public goods. This volume examines the conceptual and empirical basis for integrating natural capital—forests, oceans, and air—into the economic and environmental statistics that inform public policy. It offers innovative approaches to valuing nonmarket environmental goods and services, including strategies for capturing heterogeneity in measurement across types of capital, geography, and individuals. The chapters focus on measuring productivity with adjustments for pollution damage, developing a microdata infrastructure to advance our understanding of the distribution of environmental amenities and hazards, and estimating long-run sustainable development indicators. Case studies consider coastal assets, forests, and marine ecosystems, and develop strategies for implementing specific environmental-economic accounts such as environmental activity accounts and natural capital accounts for forests and the marine economy. As national income accounting standards are updated to incorporate expanded guidance on issues related to natural capital, this timely book will help inform decisions on the measurement and treatment of climate, air, water, and other public goods.

Categorizing race and ethnicity for twenty-first-century statistics and economics.The increasing racial and ethnic diversity of the US population raises the question of whether the race and ethnicity categories and definitions used by federal statistical agencies to create demographic statistics on which government officials, business decision-makers, and private citizens rely fully reflect the changing population. Official definitions of existing race and ethnic groups do not always command wide agreement, and over time, some definitions that were once widely accepted may become less so based on political, legal, and social factors. Comparable measures of race and ethnicity over time are needed to accurately track historical changes in economic and social outcomes, as well as racial and ethnic segregation. This volume explores the production of economic statistics that accurately depict the complex racial and ethnic diversity of the US population in the twenty-first century. The chapters examine the consequences for economic analyses of different measurement choices concerning race and ethnicity, assess the likely implications of the 2024 changes in federal race and ethnicity measurement standards, introduce new data sets with richer demographic information, and compare measures of race and ethnicity in administrative versus survey data. They also apply existing data in creative ways to develop alternative characterizations of the changing US workforce and to illuminate important policy questions related to criminal justice, immigration, labor market discrimination, the social safety net, health care, and child welfare.

This text provides a forum for leading specialists in trade and international economics to explore whether changes in the world economy have increased the usefulness of international accounts drawn up on the basis of ownership rather than on geography. The papers in this volume suggest that ownership-based national accounts are helpful in understanding trade and financial transactions among globalized enterprises. Individual chapters emphasize this perspective through accounting exercises, studies of individual countries, and studies of foreign direct investment and its relation to national economies. This volume gives trade and international economists the data and resources to renew discussion of this timely issue.