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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.
Measuring Economic Growth and Productivity: Foundations, KLEMS Production Models, and Extensions presents new insights into the causes, mechanisms and results of growth in national and regional accounts. It demonstrates the versatility and usefulness of the KLEMS databases, which generate internationally comparable industry-level data on outputs, inputs and productivity. By rethinking economic development beyond existing measurements, the book's contributors align the measurement of growth and productivity to contemporary global challenges, addressing the need for measurements as well as the Gross Domestic Product. All contributors in this foundational volume are recognized experts in their fields, all inspired by the path-breaking research of Dale W. Jorgenson. Demonstrates how an approach based on sources of economic growth (KLEMS – capital, labor, energy, materials and services) can be used to analyze economic growth and productivity Includes examples covering the G7, E7, EU, Latin America, Norway, China, Taiwan, Japan, Korea, India and other South Asian countries Examines the effects of digital, information, communication and integrated technologies on national and regional economies
Industrial policy is making a comeback in the United States. It is more urgent than ever to understand how and whether industrial policy has worked to strengthen the US economy. This study analyzes and scores 18 US industrial policy episodes implemented between 1970 and 2020, in an effort to assess what went right and what went wrong—and how the current initiatives might fare. The Peterson Institute for International Economics gratefully acknowledges the support of the Koch Foundation for this project.
Australia continues to be at the forefront of international work on measuring and promoting wellbeing, Ian Castles being a significant contributor over the last forty years as an official and academic. This book combines a selection of Castles’ important work with contemporary research from a range of contributors. The material is in four parts: 1. The role of economics in defining and promoting wellbeing 2. Measuring real income and wellbeing 3. Measuring inequality 4. Climate change and the limits to growth. The issues canvassed are both long-standing and current. Does economic growth contribute to wellbeing? How different is income to wellbeing? How do we measure societal wellbeing and take its distribution into account? The book will be of value to all those looking to informed debate on global challenges such as reducing poverty, sustaining the environment and advancing the quality of life, including politicians, commentators, officials and academics.
Astranger in academia cannot but be impressed by the apparent uniformity and precision of the methodology currently applied to the measurement of economic relationships. In scores of journal articles and other studies, a theoretical argument is typically presented to justify the position that a certain variable is related to certain other, possibly causal, variables. Regression or a related method is applied to a set of observations on these variables, and the conclusion often emerges that the causa,l variables are indeed "significant" at a certain "level," thereby lending support to the theoretical argument-an argument presumably formulated independently of the observations. A variable may be declared significant (and few doubt that this does not mean important) at, say, the 0. 05 level, but not the 0. 01. The effects of the variables are calculated to many significant digits, and are often accompanied by intervals and forecasts of not quite obvious meaning but certainly of reassuring "confidence. " The uniformity is also evident in the many mathematically advanced text books of statistics and econometrics, and in their less rigorous introductory versions for students in economics or business. It is reflected in the tools of the profession: computer programs, from the generaiones addressed to the incidental researcher to the dedicated and sophisticated programs used by the experts, display the same terms and implement the same methodology. In short, there appears no visible alternative to the established methodol ogy and no sign of reservat ions concerning its validity.
The papers in this conference proceedings address the various conceptual, measurement and statistical policy issues that arise when applying accounting frameworks to the concept of sustainable development.