Download Free Exploring General Equilibrium Implications Of Skill Biased Technological Change Book in PDF and EPUB Free Download. You can read online Exploring General Equilibrium Implications Of Skill Biased Technological Change and write the review.

An incisive, unconventional assessment of general equilibrium theory; with a previously unpublished paper. Fischer Black is known for his brilliance as well as his sometimes controversial opinions. Highly respected for his scholarly writings in finance, he now moves into different territory with this incisive, unconventional assessment of general equilibrium theory and what that theory reveals about business cycles, growth, and labor economics. The general equilibrium approach, Black asserts, can be used to explain most of the economy's behavior. It can explain business cycles and growth without using sticky prices, irrationality, economies of scale, or imperfect competition. It can explain the volatility of consumption, output, sales, investment, and inventories with axiomatic utility and constant-returns-to-scale production. It can explain temporary layoffs, job changes with and without intervening unemployment, and the behavior of vacancies. It can explain lower wages in part-time jobs, wages that increase rapidly with time on the job, and the forces that cause migration from poor to rich countries. Although the general equilibrium approach can't be tested in conventional ways, it can be used to generate examples that explain stylized facts—generalized observations from the real world—that have preoccupied macroeconomists for the last decade. Black contrasts his interpretation of these facts with conventional interpretations. Finally, he reviews a substantial body of literature on these topics.
Over the past few decades, US business and industry have been transformed by the advances and redundancies produced by the knowledge economy. The workplace has changed, and much of the work differs from that performed by previous generations. Can human capital accumulation in the United States keep pace with the evolving demands placed on it, and how can the workforce of tomorrow acquire the skills and competencies that are most in demand? Education, Skills, and Technical Change explores various facets of these questions and provides an overview of educational attainment in the United States and the channels through which labor force skills and education affect GDP growth. Contributors to this volume focus on a range of educational and training institutions and bring new data to bear on how we understand the role of college and vocational education and the size and nature of the skills gap. This work links a range of research areas—such as growth accounting, skill development, higher education, and immigration—and also examines how well students are being prepared for the current and future world of work.
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.
This compilation of papers explores the question of how Canada's average level of prosperity might be raised and how these gains might be widely distributed in the future. The first paper surveys trends in income distribution and the controversies involved in defining poverty lines, and discusses explanations for the rising disparities in market incomes. Particular attention is paid to questions of market failure that are central to each diagnosis of the rising inequality phenomenon. The second paper summarizes studies that estimate how many of the benefits of each government program go to individuals and families at each point on the income scale, and combines the calculations to estimate how much overall income redistribution Canadian governments do. The final paper investigates a version of new growth theory and presents a model whose key aspect is government spending on education as a means of raising both income equality and overall economic growth.
The essays in this Festschrift have been chosen to honour Harald Hagemann and his scientific work. They reflect his main contributions to economic research and his major fields of interest. The essays in the first part deal with various aspects within the history of economic thought. The second part is about the current state of macroeconomics. The essays in the third part of the book cover topics on economic growth and structural dynamics.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Macroeconomics is evolving in an almost dialectic fashion. The latest evolution is the development of a new synthesis that combines insights of new classical, new Keynesian and real business cycle traditions into a dynamic, stochastic general equilibrium (DSGE) model that serves as a foundation for thinking about macro policy. That new synthesis has opened up the door to a new antithesis, which is being driven by advances in computing power and analytic techniques. This new synthesis is coalescing around developments in complexity theory, automated general to specific econometric modeling, agent-based models, and non-linear and statistical dynamical models. This book thus provides the reader with an introduction to what might be called a Post Walrasian research program that is developing as the antithesis of the Walrasian DSGE synthesis.
International trade is the core foundation of globalisation. This current and up-to-date volume brings together the finest academics working in the field today, containing contributions in key areas of policy research, such as, modelling frameworks, trade policy, trade and migration, trade and the environment, trade and unemployment.