With a farm of pigs as his abacus, Arthur Geisert uses elements of a search and count game to bring Roman numerals to life in this unintimidating math-concept book. First, the seven Roman numerals are equated with the correct number of piglets. Then the reader may practice counting other items—hot-air balloons, gopher holes, and more—as the remarkable adventure unfolds. (And yes, there are one thousand pigs in the etching for M!)
A rigorous, pathbreaking analysis demonstrating that a country's prosperity is directly related in the long run to the skills of its population. In this book Eric Hanushek and Ludger Woessmann make a simple, central claim, developed with rigorous theoretical and empirical support: knowledge is the key to a country's development. Of course, every country acknowledges the importance of developing human capital, but Hanushek and Woessmann argue that message has become distorted, with politicians and researchers concentrating not on valued skills but on proxies for them. The common focus is on school attainment, although time in school provides a very misleading picture of how skills enter into development. Hanushek and Woessmann contend that the cognitive skills of the population—which they term the “knowledge capital” of a nation—are essential to long-run prosperity. Hanushek and Woessmann subject their hypotheses about the relationship between cognitive skills (as consistently measured by international student assessments) and economic growth to a series of tests, including alternate specifications, different subsets of countries, and econometric analysis of causal interpretations. They find that their main results are remarkably robust, and equally applicable to developing and developed countries. They demonstrate, for example, that the “Latin American growth puzzle” and the “East Asian miracle” can be explained by these regions' knowledge capital. Turning to the policy implications of their argument, they call for an education system that develops effective accountability, promotes choice and competition, and provides direct rewards for good performance.
Contemporary capitalistic systems have been undergoing profound transformations determined by the transition towards the so-called knowledge based economy, i.e. a competitive system based on the capabilities firms have to create, use and circulate knowledge. These transformations concern both the characteristics of productive and innovative processes, and the resources used in these activities. This book captures these changes, where traditional R&D investments undertaken internally by firms are increasingly and strategically complemented by external sources of innovation and new knowledge. Collaborations between firms, and between firms and other organizations, as well as the mobility of human capital, are strategic processes in order to share and circulate knowledge and competencies. They are also key determinants in the creation of new knowledge and innovation, and ultimately in growth dynamics. The circulation and distribution of knowledge is now a key input in the production of knowledge. Knowledge and innovation are understood as the result of collective and interactive processes at the system level, and less at the micro level. In other words, new knowledge production is less and less the result of individualistic behaviours of the firms and much more the effect of explicit and pro-active interactions and transactions put in place by local networks of innovators. In this perspective, economic space is much more defined by the quality of the interactions among actors rather than by their mere technological, sectoral or geographical proximity. This book brings together new conceptual and empirical contributions and blends the analysis of the technological and geographical spaces in which innovation and knowledge are produced.
"What The Double Helix did for biology, David Warsh's Knowledge and the Wealth of Nations does for economics." —Boston Globe A stimulating and inviting tour of modern economics centered on the story of one of its most important breakthroughs. In 1980, the twenty-four-year-old graduate student Paul Romer tackled one of the oldest puzzles in economics. Eight years later he solved it. This book tells the story of what has come to be called the new growth theory: the paradox identified by Adam Smith more than two hundred years earlier, its disappearance and occasional resurfacing in the nineteenth century, the development of new technical tools in the twentieth century, and finally the student who could see further than his teachers. Fascinating in its own right, new growth theory helps to explain dominant first-mover firms like IBM or Microsoft, underscores the value of intellectual property, and provides essential advice to those concerned with the expansion of the economy. Like James Gleick's Chaos or Brian Greene's The Elegant Universe, this revealing book takes us to the frontlines of scientific research; not since Robert Heilbroner's classic work The Worldly Philosophers have we had as attractive a glimpse of the essential science of economics.
The Routledge Handbook of the Economics of Knowledge provides a comprehensive framework to integrate the advancements over the last 20 years in the analysis of technological knowledge as an economic good, and in the static and dynamic characteristics of its generation process. There is a growing consensus in the field of economics that knowledge, technological knowledge in particular, is one of the most relevant resources of wealth, yet it is one of the most difficult and complex activities to understand or even to conceptualize. The economics of knowledge is an emerging field that explores the generation, exploitation, and dissemination of technological knowledge. Technological knowledge cannot any longer be regarded as a homogenous good that stems from standardized generation processes. Quite the opposite, technological knowledge appears more and more to be a basket of heterogeneous items, resources, and even experiences. All of these sources, which are both internal and external to the firm, are complementary, as is the interplay between a bottom-up and top-down generation processes. In this context, the interactions between the public research system, private research laboratories, and various networks of learning processes, within and among firms, play a major role in the creation of technological knowledge. In this Handbook special attention is given to the relationship among technological knowledge and both upstream scientific knowledge and related downstream resources. By addressing the antecedents and consequences of technological knowledge from both an upstream and downstream perspective, this Handbook will become an indispensable tool for scholars and practitioners aiming to master the generation and the use of technological knowledge.
The beauty of science may be pure and eternal, but the practice of science costs money. And scientists, being human, respond to incentives and costs, in money and glory. Choosing a research topic, deciding what papers to write and where to publish them, sticking with a familiar area or going into something new—the payoff may be tenure or a job at a highly ranked university or a prestigious award or a bump in salary. The risk may be not getting any of that. At a time when science is seen as an engine of economic growth, Paula Stephan brings a keen understanding of the ongoing cost-benefit calculations made by individuals and institutions as they compete for resources and reputation. She shows how universities offload risks by increasing the percentage of non-tenure-track faculty, requiring tenured faculty to pay salaries from outside grants, and staffing labs with foreign workers on temporary visas. With funding tight, investigators pursue safe projects rather than less fundable ones with uncertain but potentially path-breaking outcomes. Career prospects in science are increasingly dismal for the young because of ever-lengthening apprenticeships, scarcity of permanent academic positions, and the difficulty of getting funded. Vivid, thorough, and bold, How Economics Shapes Science highlights the growing gap between the haves and have-nots—especially the vast imbalance between the biomedical sciences and physics/engineering—and offers a persuasive vision of a more productive, more creative research system that would lead and benefit the world.
Posing a major challenge to economic orthodoxy, Imperfect Knowledge Economics asserts that exact models of purposeful human behavior are beyond the reach of economic analysis. Roman Frydman and Michael Goldberg argue that the longstanding empirical failures of conventional economic models stem from their futile efforts to make exact predictions about the consequences of rational, self-interested behavior. Such predictions, based on mechanistic models of human behavior, disregard the importance of individual creativity and unforeseeable sociopolitical change. Scientific though these explanations may appear, they usually fail to predict how markets behave. And, the authors contend, recent behavioral models of the market are no less mechanistic than their conventional counterparts: they aim to generate exact predictions of "irrational" human behavior. Frydman and Goldberg offer a long-overdue response to the shortcomings of conventional economic models. Drawing attention to the inherent limits of economists' knowledge, they introduce a new approach to economic analysis: Imperfect Knowledge Economics (IKE). IKE rejects exact quantitative predictions of individual decisions and market outcomes in favor of mathematical models that generate only qualitative predictions of economic change. Using the foreign exchange market as a testing ground for IKE, this book sheds new light on exchange-rate and risk-premium movements, which have confounded conventional models for decades. Offering a fresh way to think about markets and representing a potential turning point in economics, Imperfect Knowledge Economics will be essential reading for economists, policymakers, and professional investors.
The Economics of Education: A Comprehensive Overview, Second Edition, offers a comprehensive and current overview of the field of that is broadly accessible economists, researchers and students. This new edition revises the original 50 authoritative articles and adds Developed (US and European) and Developing Country perspectives, reflecting the differences in institutional structures that help to shape teacher labor markets and the effect of competition on student outcomes. - Provides international perspectives that describe the origins of key subjects, their major issues and proponents, their landmark studies, and opportunities for future research - Increases developing county perspectives and comparisons of cross-country institutions - Requires no prior knowledge of the economics of education
How do ordinary people come to know or believe what they do? You might think I am acting irrationally--against my interest or my purpose--until you realize that what you know and what I know differ significantly. My actions, given my knowledge, might make eminently good sense. Of course, this pushes our problem back one stage to assess why someone knows or believes what they do. That is the focus of this book. Russell Hardin supposes that people are not usually going to act knowingly against their interests or other purposes. To try to understand how they have come to their knowledge or beliefs is therefore to be charitable in assessing their rationality. Hardin insists on such a charitable stance in the effort to understand others and their sometimes objectively perverse actions. -- Publisher details.
