What is the correct concept behind measures of inflation? Does money cause business activity or is it the other way around? Shall we stimulate growth by raising aggregate demand or rather by lowering taxes and thereby providing incentives to produce? Policy-relevant questions such as these are of immediate and obvious importance to the welfare of societies. The standard approach in dealing with them is to build a model, based on economic theory, answer the question for the model world and then apply the results to economic phenomena outside. Data come in, if at all, only in testing a limited number of the model's consequences. Despite some critical voices, economic methodology too has by and large subscribed to a "theory first" approach to applied economics. Error in Economics systematically develops an alternative to the theory-based orthodoxy. It places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics. But the book does not stop at the truism that claims should be based on the best available evidence. Rather, detailed studies in the areas of measurement, causal inference and policy analysis show what it means for a claim to be evidence-based in the context of a concrete case. The examples discussed concern topics as diverse as consumer price indices, radio spectrum auctions, the transmission mechanism, natural experiments on minimum wages and the evaluation of counterfactuals for policy. Error in Economics is essential reading for economic methodologists, philosophers of science and anyone interested in how claims about socio-economic matters are validated.

What is the correct concept behind measures of inflation? Does money cause business activity or is it the other way around? Shall we stimulate growth by raising aggregate demand or rather by lowering taxes and thereby providing incentives to produce? Policy-relevant questions such as these are of immediate and obvious importance to the welfare of societies. The standard approach in dealing with them is to build a model, based on economic theory, answer the question for the model world and then apply the results to economic phenomena outside. Data come in, if at all, only in testing a limited number of the model's consequences. Despite some critical voices, economic methodology too has by and large subscribed to a "theory first" approach to applied economics. Error in Economics systematically develops an alternative to the theory-based orthodoxy. It places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics. But the book does not stop at the truism that claims should be based on the best available evidence. Rather, detailed studies in the areas of measurement, causal inference and policy analysis show what it means for a claim to be evidence-based in the context of a concrete case. The examples discussed concern topics as diverse as consumer price indices, radio spectrum auctions, the transmission mechanism, natural experiments on minimum wages and the evaluation of counterfactuals for policy. Error in Economics is essential reading for economic methodologists, philosophers of science and anyone interested in how claims about socio-economic matters are validated.

With over a million copies sold, Economics in One Lesson is an essential guide to the basics of economic theory. A fundamental influence on modern libertarianism, Hazlitt defends capitalism and the free market from economic myths that persist to this day. Considered among the leading economic thinkers of the “Austrian School,” which includes Carl Menger, Ludwig von Mises, Friedrich (F.A.) Hayek, and others, Henry Hazlitt (1894-1993), was a libertarian philosopher, an economist, and a journalist. He was the founding vice-president of the Foundation for Economic Education and an early editor of The Freeman magazine, an influential libertarian publication. Hazlitt wrote Economics in One Lesson, his seminal work, in 1946. Concise and instructive, it is also deceptively prescient and far-reaching in its efforts to dissemble economic fallacies that are so prevalent they have almost become a new orthodoxy. Economic commentators across the political spectrum have credited Hazlitt with foreseeing the collapse of the global economy which occurred more than 50 years after the initial publication of Economics in One Lesson. Hazlitt’s focus on non-governmental solutions, strong — and strongly reasoned — anti-deficit position, and general emphasis on free markets, economic liberty of individuals, and the dangers of government intervention make Economics in One Lesson every bit as relevant and valuable today as it has been since publication.

Is economics always self-corrective? Do erroneous theorems permanently disappear from the market of economic ideas? Intellectual Path Dependence in Economics argues that errors in economics are not always corrected. Although economists are often critical and open-minded, unfit explanations are nonetheless able to reproduce themselves. The problem is that theorems sometimes survive the intellectual challenges in the market of economic ideas even when they are falsified or invalidated by criticism and an abundance of counter-evidence. A key question which often gets little or no attention is: why do economists not reject theories when they have been refuted by evidence and falsified by philosophical reasoning? This book explores the answer to this question by examining the phenomenon of intellectual path dependence in the history of economic thought. It argues that the key reason why economists do not reject refuted theories is the epistemic costs of starting to use new theories. Epistemic costs are primarily the costs of scarcity of the most valued element in academic production: time. Epistemic scarcity overwhelmingly dominates the evolution of scientific research in such a way that when researchers start off a new research project, they allocate time between replicable and un-replicable research. This book is essential reading for anyone interested in the methodology, philosophy and history of economics.

Precise and flawless medical practice is imperative due to the delicate nature of patient lives and health. Without methods and technologies to detect medical mistakes, many lives would be compromised. Impact of Medical Errors and Malpractice on Health Economics, Quality, and Patient Safety is an essential reference source for the latest research on the detection and analysis of the various implications of medical errors and addresses the hidden malpractices that exist in healthcare systems globally. Featuring extensive coverage on a broad range of topics such as clinical pathways, decision-making techniques, and health information technology, this book is ideally designed for practitioners, professionals, and researchers seeking current research on various issues in healthcare provision.

Grzegorz W. Kolodko, one of the world's leading authorities on economics and development policy and a key architect of Poland's successful economic reforms, applies his far-reaching knowledge to the past and future of the world economy, introducing a framework for understanding our global situation that transcends any single discipline or paradigm. Deploying a novel mix of scientific evaluation and personal observation, Kolodko begins with a brief discussion of misinformation and its perpetuation in economics and politics. He criticizes the simplification of complex economic and social issues and investigates the link between developments in the global economy and cultural change, scientific discoveries, and political fluctuations. Underscoring the necessity of conceptual and theoretical innovation in understanding our global economic situation, Kolodko offers a provocative study of globalization and the possibility of coming out ahead in an era of worldwide interdependence. Deeply critical of neoliberalism, which sought to transfer economic control exclusively to the private sector, Kolodko explores the virtues of social-economic development and the new rules of the economic game. He concludes with a look at our near and distant future, questioning whether we have a say in its making.

The industrialized world has long been rocked by economic crises, often caused by policy makers who are guided by ideology rather than cold, hard analysis. WRONG examines the worst economic policy blunders of the last 250 years, providing a valuable guide book for policy makers... and the citizens who elect them.

The theory of the firm has been fertile ground for economists. Bylund proposes a new theory, rooted in Austrian economics, which examines the firm as a part of the market, and not as a free-standing entity. In this integrated view, a theory is offered which incorporates entrepreneurship, production, market process and economic development.

The book first discusses in depth various aspects of the well-known inconsistency that arises when explanatory variables in a linear regression model are measured with error. Despite this inconsistency, the region where the true regression coeffecients lies can sometimes be characterized in a useful way, especially when bounds are known on the measurement error variance but also when such information is absent. Wage discrimination with imperfect productivity measurement is discussed as an important special case. Next, it is shown that the inconsistency is not accidental but fundamental. Due to an identification problem, no consistent estimators may exist at all. Additional information is desirable. This information can be of various types. One type is exact prior knowledge about functions of the parameters. This leads to the CALS estimator. Another major type is in the form of instrumental variables. Many aspects of this are discussed, including heteroskedasticity, combination of data from different sources, construction of instruments from the available data, and the LIML estimator, which is especially relevant when the instruments are weak. The scope is then widened to an embedding of the regression equation with measurement error in a multiple equations setting, leading to the exploratory factor analysis (EFA) model. This marks the step from measurement error to latent variables. Estimation of the EFA model leads to an eigenvalue problem. A variety of models is reviewed that involve eignevalue problems as their common characteristic. EFA is extended to confirmatory factor analysis (CFA) by including restrictions on the parameters of the factor analysis model, and next by relating the factors to background variables. These models are all structural equation models (SEMs), a very general and important class of models, with the LISREL model as its best-known representation, encompassing almost all linear equation systems with latent variables. Estimation of SEMs can be viewed as an application of the generalized method of moments (GMM). GMM in general and for SEM in particular is discussed at great length, including the generality of GMM, optimal weighting, conditional moments, continuous updating, simulation estimation, the link with the method of maximum likelihood, and in particular testing and model evaluation for GMM. The discussion concludes with nonlinear models. The emphasis is on polynomial models and models that are nonlinear due to a filter on the dependent variables, like discrete choice models or models with ordered categorical variables.

In this groundbreaking book, Tim Harford, the Undercover Economist, shows us a new and inspiring approach to solving the most pressing problems in our lives. When faced with complex situations, we have all become accustomed to looking to our leaders to set out a plan of action and blaze a path to success. Harford argues that today's challenges simply cannot be tackled with ready-made solutions and expert opinion; the world has become far too unpredictable and profoundly complex. Instead, we must adapt. Deftly weaving together psychology, evolutionary biology, anthropology, physics, and economics, along with the compelling story of hard-won lessons learned in the field, Harford makes a passionate case for the importance of adaptive trial and error in tackling issues such as climate change, poverty, and financial crises—as well as in fostering innovation and creativity in our business and personal lives. Taking us from corporate boardrooms to the deserts of Iraq, Adapt clearly explains the necessary ingredients for turning failure into success. It is a breakthrough handbook for surviving—and prospering— in our complex and ever-shifting world.