This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics, econometrics and finance. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, dynamics and static and dynamic optimisation. The last four chapters are an accessible introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study. The preface to the new edition and full table of contents are available from https://www.manchesterhive.com/page/mathematics-for-economists-supplementary-materials

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).

In this wide ranging exposition of the various economic theories of technological change, Stanislaw Gomulka relates them to rates of growth experienced by different economies in both the short and the long term. Analysis of countries as diverse as Japan, the Soviet Union and the United Kingdom demonstrates that there is an interdependence between technological change and the institutional and cultural characteristics of different countries, which can have a profound effect on their rates of growth. All of the major, relevant models are discussed, including those of Kuznets and Phelps, but throughout the emphasis is on the creation of a unified theoretical framework to help explain the impact of technological progress on both a micro and a macro scale.

Americans praise medical technology for saving lives and improving health. Yet, new technology is often cited as a key factor in skyrocketing medical costs. This volume, second in the Medical Innovation at the Crossroads series, examines how economic incentives for innovation are changing and what that means for the future of health care. Up-to-date with a wide variety of examples and case studies, this book explores how payment, patent, and regulatory policiesâ€"as well as the involvement of numerous government agenciesâ€"affect the introduction and use of new pharmaceuticals, medical devices, and surgical procedures. The volume also includes detailed comparisons of policies and patterns of technological innovation in Western Europe and Japan. This fact-filled and practical book will be of interest to economists, policymakers, health administrators, health care practitioners, and the concerned public.

The book examines the future deployment of renewable power from a normative point of view. It identifies properties characterizing the cost-optimal transition towards a renewable power system and analyzes the key drivers behind this transition. Among those drivers, particular attention is paid to technological cost reductions and the implications of uncertainty. From a methodological perspective, the main contributions of this book relate to the field of endogenous learning and uncertainty in optimizing energy system models. The primary objective here is closing the gap between the strand of literature covering renewable potential analyses on the one side and energy system modeling with endogenous technological change on the other side. The models applied in this book demonstrate that fundamental changes must occur to transform today's power sector into a more sustainable one over the course of this century. Apart from its methodological contributions, this work is also intended to provide practically relevant insights regarding the long-term competitiveness of renewable power generation.

'Techno-Economic Paradigms' presents a series of essays discussing one of the most interesting and talked-about socio-economic theories of our times: techno-economic paradigm shifts.

The transformative effect of technological change on households and culture, seen from a macroeconomic perspective through simple economic models. In Evolving Households, Jeremy Greenwood argues that technological progress has had as significant an effect on households as it had on industry. Taking a macroeconomic perspective, Greenwood develops simple economic models to study such phenomena as the rise in married female labor force participation, changes in fertility rates, the decline in marriage, and increased longevity. These trends represent a dramatic transformation in everyday life, and they were made possible by advancements in technology. Greenwood also addresses how technological progress can cause social change. Greenwood shows, for example, how electricity and labor-saving appliances freed women from full-time household drudgery and enabled them to enter the labor market. He explains that fertility dropped when higher wages increased the opportunity cost of having children; he attributes the post–World War II baby boom to a combination of labor-saving household technology and advances in obstetrics and pediatrics. Marriage rates declined when single households became more economically feasible; people could be more discriminating in their choice of a mate. Technological progress also affects social and cultural norms. Innovation in contraception ushered in a sexual revolution. Labor-saving technological progress at home, together with mechanization in industry that led to an increase in the value of brain relative to brawn for jobs, fostered the advancement of women's rights in the workplace. Finally, Greenwood attributes increased longevity to advances in medical technology and rising living standards, and he examines healthcare spending, the development of new drugs, and the growing portion of life now spent in retirement.

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.

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.

Growth in a Time of Change: Global and Country Perspectives on a New Agenda is the first of a two-book research project that addresses new issues and challenges for economic growth arising from ongoing significant change in the world economy, focusing especially on technological transformation. The project is a collaboration between the Brookings Institution and the Korea Development Institute. Part I of the book looks at key elements of change from a global perspective. It analyzes how technological change, shifts in investment, and demographic transition are affecting potential economic growth globally and across major groups of economies. The contributors explore possible scenarios for the global economy as the digital revolution drives rapid technological change, including impacts on growth, jobs, income distribution, trade balances, and capital flows. Technology is changing the global configuration of comparative advantage and globalization increasingly has a digital dimension. The implications of these developments for the future of sectors such as manufacturing and for international trade are assessed. Part II of the book addresses new issues in the growth agenda from the perspective of an individual major economy: South Korea. The chapters in this section analyze how macroeconomic developments and technological change are influencing the behavior of households and firms in terms of their decisions to consume, save, and invest. Rising income and wealth inequalities are a major concern globally. Against this backdrop, trends in the labor income share and wage inequalities in South Korea are analyzed in terms of the role played by technology, industrial concentration, shifts in labor demand and supply, and other factors. Throughout the book, the contributors, in their analysis of both global and Korea-specific trends and prospects, place emphasis on drawing implications for policy.