Griliches was a modern master of empirical economics. Here, he recounts what he and others have learned about the sources of economic growth, and conveys how he tackled research problems. For Griliches, theorizing without measurement produces mere parables, but measurement without theory is blind. Judgment enables one to strike the right balance.
Much is written in the popular literature about the current pace of technological change. But do we have enough scientific knowledge about the sources and management of innovation to properly inform policymaking in technology dependent domains such as energy and the environment? While it is agreed that technological change does not 'fall from heaven like autumn leaves,' the theory, data, and models are deficient. The specific mechanisms that govern the rate and direction of inventive activity, the drivers and scope for incremental improvements that occur during technology diffusion, and the spillover effects that cross-fertilize technological innovations remain poorly understood. In a work that will interest serious readers of history, policy, and economics, the editors and their distinguished contributors offer a unique, single volume overview of the theoretical and empirical work on technological change. Beginning with a survey of existing research, they provide analysis and case studies in contexts such as medicine, agriculture, and power generation, paying particular attention to what technological change means for efficiency, productivity, and reduced environmental impacts. The book includes a historical analysis of technological change, an examination of the overall direction of technological change, and general theories about the sources of change. The contributors empirically test hypotheses of induced innovation and theories of institutional innovation. They propose ways to model induced technological change and evaluate its impact, and they consider issues such as uncertainty in technology returns, technology crossover effects, and clustering. A copublication o Resources for the Future (RFF) and the International Institute for Applied Systems Analysis (IIASA).
Demand for less skilled workers decreased dramatically in the US and in other developed countries over the past two decades. We argue that pervasive skill-biased technological change rather than increased trade with the developing world is the principal culprit. The pervasiveness of this technological change is important for two reasons. First, it is an immediate and testable implication of technological change. Second, under standard assumptions, the more pervasive the skill-biased technological change the greater the increase in the embodied supply of less skilled workers and the greater the depressing effect on their relative wages through world goods prices. In contrast, in the Heckscher-Ohlin model with small open economies, the skill-bias of local technological changes does not affect wages. Thus, pervasiveness deals with a major criticism of skill-biased technological change as a cause. Testing the implications of pervasive, skill-biased technological change we find strong supporting evidence. First, across the OECD, most industries have increased the proportion of skilled workers employed despite rising or stable relative wages. Second, increases in demand for skills were concentrated in the same manufacturing industries in different developed countries.
Exploring a new agenda to improve outcomes for American workers As the United States continues to struggle with the impact of the devastating COVID-19 recession, policymakers have an opportunity to redress the competition problems in our labor markets. Making the right policy choices, however, requires a deep understanding of long-term, multidimensional problems. That will be solved only by looking to the failures and unrealized opportunities in anti-trust and labor law. For decades, competition in the U.S. labor market has declined, with the result that American workers have experienced slow wage growth and diminishing job quality. While sluggish productivity growth, rising globalization, and declining union representation are traditionally cited as factors for this historic imbalance in economic power, weak competition in the labor market is increasingly being recognized as a factor as well. This book by noted experts frames the legal and economic consequences of this imbalance and presents a series of urgently needed reforms of both labor and anti-trust laws to improve outcomes for American workers. These include higher wages, safer workplaces, increased ability to report labor violations, greater mobility, more opportunities for workers to build power, and overall better labor protections. Inequality in the Labor Market will interest anyone who cares about building a progressive economic agenda or who has a marked interest in labor policy. It also will appeal to anyone hoping to influence or anticipate the much-needed progressive agenda for the United States. The book's unusual scope provides prescriptions that, as Nobel Laureate Joseph Stiglitz notes in the introduction, map a path for rebalancing power, not just in our economy but in our democracy.
This book provides a careful historical analysis of the co-evolution of educational attainment and the wage structure in the United States through the twentieth century. The authors propose that the twentieth century was not only the American Century but also the Human Capital Century. That is, the American educational system is what made America the richest nation in the world. Its educational system had always been less elite than that of most European nations. By 1900 the U.S. had begun to educate its masses at the secondary level, not just in the primary schools that had remarkable success in the nineteenth century. The book argues that technological change, education, and inequality have been involved in a kind of race. During the first eight decades of the twentieth century, the increase of educated workers was higher than the demand for them. This had the effect of boosting income for most people and lowering inequality. However, the reverse has been true since about 1980. This educational slowdown was accompanied by rising inequality. The authors discuss the complex reasons for this, and what might be done to ameliorate it.
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.
From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.
This is the first book to comprehensibly describe how technology has shaped society and the environment over the last 200 years. It will be useful for researchers, as a textbook for graduate students, for people engaged in long-term policy planning in industry and government, for environmental activists, and for the wider public interested in history, technology, or environmental issues.
Problems of climate change, biodiversity and air pollution are clearly growing globally, but more particularly in Asia because of its economic importance and richness in nature. The increasing interest in environmental and resource economics applied in regions of Asia will make this book an outstanding resource to the existing literature, particularly in the fields of environmental and resource economics and the integration of applied content in traditional and agricultural development. At present there is no single handbook or text on the state of current knowledge in environmental economics in Asia or one which offers a comprehensive guide to students and academics on the subjects of environmental economics research. This book will help to fill the gap in the existing literature.
