Measuring Human Capital addresses a country's most important resource: its own people. Bettering human capital benefits individuals and their country and leads to improved sustainability for the future. For many years economists only used Gross Domestic Product (GDP), now acknowledged to be inadequate without supplemental measures, to gauge a country's overall value. There is now a recognition that many variables contribute to a country's worth, which make accurate measurement difficult. Looking beyond GDP by focusing on human capital, researchers, policymakers, government officials, and students can understand what elements impact human capital and how they might improve it in order to increase economic growth and well-being. - Addresses six major measures of human capital, covering at least 130 countries - Describes both monetary and index estimates - Includes two monetary measures by the World Bank and the Inclusive Wealth Report by UNEP and the Urban Institute of Kyushu University - Includes four index measures by the Institute for Health Metrics and Evaluation of the University of Washington, United Nations Development Programme, World Economic Forum, and World Bank - Includes two country chapters, one on China and the other on the United States

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.

This volume contains papers presented at a conference in May 1988 in Washington, D.C., commemorating the fiftieth anniversary of the founding of the Conference on Research in Income and Wealth (CRIW). The call for papers emphasized assessments of broad topics in economic measurement, both conceptual and pragmatic. The organizers desired (and succeeded in obtaining) a mix of papers that, first, illustrate the range of measurement issues that economics as a science must confront and, second, mark major milestones of CRIW accomplishment. The papers concern prices and output (Griliches, Pieper, Triplett) and also the major productive inputs, capital (Hulten) and labor (Hamermesh). Measures of saving, the source of capital accumulation, are covered in one paper (Boskin); measuring productivity, the source of much of the growth in per capita income, is reviewed in another (Jorgenson). The use of economic data in economic policy analysis and in regulation are illustrated in a review of measures of tax burden (Atrostic and Nunns) and in an analysis of the data needed for environmental regulation (Russell and Smith); the adequacy of data for policy analysis is evaluated in a roundtable discussion (chapter 12) involving four distinguished policy analysts with extensive government experience in Washington and Ottawa.

An examination of long-term trends in capital formation and financing in the U.S., this study is organized primarily around the principal capital-using sectors of the economy: agriculture, mining and manufacturing, public utilities, non-farm residential real estate, and government. The analysis summarizes major trends in real capital formation and financing, and the factors that determined the trends. Originally published in 1961. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Conventional measures of national income and product and its components have proved enormously useful as indexes of economic activity and as the empirical foundations of much of macroeconomic analysis. Robert Eisner's The Total Incomes System of Accounts (TISA) brings critical new dimensions to those measures. It offers systematic extensions and expansions in an effort to count all of the output that goes into economic well-being, now and in the future. Eisner counts nonmarket as well as market production, including vast amounts of services produced by housewives and others in the home, capital formation by government and households as well as business, human and intangible capital invested in education, R&D, and health care, as well as tangible capital. He offers measures of net revaluations of tangible assets, redefines the critical boundaries between final and intermediate outputs, and presents separate sector accounts for business, nonprofit institutions, government, government enterprises and households, which make clear the major contributions of nonbusiness sectors to our total national income. For these and other extensions, Eisner's TISA offers detailed and comprehensive income and product accounts in current dollars and product accounts in constant dollars for all of the years from 1946 to 1981, along with measures of capital stocks. Estimates of consumption, investment, and production functions with the new data sets, a review of other sets of extended accounts, and a detailed description of sources and methods are also provided.

There is probably no concept other than saving for which U.S. official agencies issue annual estimates that differ by more than a third, as they have done for net household saving, or for which reputable scholars claim that the correct measure is close to ten times the officially published one. Yet despite agreement among economists and policymakers on the importance of this measure, huge inconsistencies persist. Contributors to this volume investigate ways to improve aggregate and sectoral saving and investment estimates and analyze microdata from recent household wealth surveys. They provide analyses of National Income and Product Account (NIPA) and Flow-of-Funds measures and of saving and survey-based wealth estimates. Conceptual and methodological questions are discussed regarding long-term trends in the U.S. wealth inequality, age-wealth profiles, pensions and wealth distribution, and biases in inferences about life-cycle changes in saving and wealth. Some new assessments are offered for investment in human and nonhuman capital, the government contribution to national wealth, NIPA personal and corporate saving, and banking imputation.