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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
Introduction -- Concepts and definitions -- Methodological issues -- Implementation and measurement issues -- Satellite account for education and training -- Human capital satellite account: an example for Canada -- Human capital country studies -- Recommendations and further work -- References
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.
Human capital theory, or the notion that there is a direct relationship between educational investment and individual and national prosperity, has dominated public policy on education and labor for the past fifty years. In The Death of Human Capital?, Phillip Brown, Hugh Lauder, and Sin Yi Cheung argue that the human capital story is one of false promise: investing in learning isn't the road to higher earnings and national prosperity. Rather than abandoning human capital theory, however, the authors redefine human capital in an age of smart machines. They present a new human capital theory that rejects the view that automation and AI will result in the end of waged work, but see the fundamental problem as a lack of quality jobs offering interesting, worthwhile, and rewarding opportunities. A controversial challenge to the reigning ideology, The Death of Human Capital? connects with a growing sense that capitalism is in crisis, felt by students and the wider workforce, shows what's at stake in the new human capital while offering hope for the future.
Human capital—the knowledge, skills, and health that people accumulate over their lives—is a central driver of sustainable growth, poverty reduction, and successful societies. More human capital is associated with higher earnings for people, higher income for countries, and stronger cohesion in societies. Much of the hard-won human capital gains in many economies over the past decade is at risk of being eroded by the COVID-19 (coronavirus) pandemic. Urgent action is needed to protect these advances, particularly among the poor and vulnerable. Designing the needed interventions, targeting them to achieve the highest effectiveness, and navigating difficult trade-offs make investing in better measurement of human capital now more important than ever. The Human Capital Index (HCI)—launched in 2018 as part of the Human Capital Project—is an international metric that benchmarks the key components of human capital across economies. The HCI is a global effort to accelerate progress toward a world where all children can achieve their full potential. Measuring the human capital that children born today can expect to attain by their 18th birthdays, the HCI highlights how current health and education outcomes shape the productivity of the next generation of workers and underscores the importance of government and societal investments in human capital. The Human Capital Index 2020 Update: Human Capital in the Time of COVID-19 presents the first update of the HCI, using health and education data available as of March 2020. It documents new evidence on trends, examples of successes, and analytical work on the utilization of human capital. The new data—collected before the global onset of COVID-19—can act as a baseline to track its effects on health and education outcomes. The report highlights how better measurement is essential for policy makers to design effective interventions and target support. In the immediate term, investments in better measurement and data use will guide pandemic containment strategies and support for those who are most affected. In the medium term, better curation and use of administrative, survey, and identification data can guide policy choices in an environment of limited fiscal space and competing priorities. In the longer term, the hope is that economies will be able to do more than simply recover lost ground. Ambitious, evidence-driven policy measures in health, education, and social protection can pave the way for today’s children to surpass the human capital achievements and quality of life of the generations that preceded them.
This report clarifies what is now known about human capital and how it can be measured.
In 1965, a family-reunification policy for admitting immigrants to the United States replaced a system that chose immigrants based on their national origin. With this change, a 40-year hiatus in Asian immigration ended. Today, over three-quarters of US immigrants originate from Asia and Latin America. Two issues that dominate discussions of US immigration policy are the progress of post-reform immigrants and their contributions to the US economy. This book focuses on the earnings and human capital investment of Asian immigrants to the US after 1965. In addition, it provides a primer on studying immigrant economic assimilation, by explaining economists’ methodology to measure immigrant earnings growth and the challenges with this approach. The book also illustrates strategies to more fully use census data such as how to measure family income and how to use “panel data” that is embedded in the census. The book is a historical study as well as an extremely timely work from a policy angle. The passage of the 1965 Immigration and Nationality Act set the United States apart among economically developed countries due to the weight given to family unification. Based on analyses by economists—which suggest that the quality of immigrants to the US fell after the 1965 law—policymakers have called for fundamental changes in the US system to align it with the immigration systems of other countries. This book offers an alternative view point by proposing a richer model that incorporates investments in human capital by immigrants and their families. It challenges the conventional model in three ways: First, it views the decline in immigrants’ entry earnings after 1965 as due to investment in human capital, not to permanently lower “quality.” Second, it adds human capital investment and earnings growth after entry to the model. And finally, by taking investments by family members into account, it challenges the policy recommendation that immigrants should be selected for their occupational qualifications rather than family connections.
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.
Investment in human capital is to the fore of debate and analysis in OECD countries about how to promote economic prosperity, fuller employment, and social cohesion. Individuals, organisations and nations increasingly recognise that high levels of know
Contents: Introduction, Statistical (Classical) Thermodynamics Law, The Distribution Law and Dipole Moment, Molecular Weight and Its Determination.