First published in 2001, Causality in Macroeconomics addresses the long-standing problems of causality while taking macroeconomics seriously. The practical concerns of the macroeconomist and abstract concerns of the philosopher inform each other. Grounded in pragmatic realism, the book rejects the popular idea that macroeconomics requires microfoundations, and argues that the macroeconomy is a set of structures that are best analyzed causally. Ideas originally due to Herbert Simon and the Cowles Commission are refined and generalized to non-linear systems, particularly to the non-linear systems with cross-equation restrictions that are ubiquitous in modern macroeconomic models with rational expectations (with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality is then used to evaluate more familiar approaches to causality due to Granger, LeRoy and Glymour, Spirtes, Scheines and Kelly, as well as vector autoregressions, the Lucas critique, and the exogeneity concepts of Engle, Hendry and Richard.

The Methodology of Empirical Macroeconomics stakes out a pragmatic middle-ground between traditional, prescriptive economic methodology and recent descriptive (sociological or rhetorical) methodology. The former is sometimes seen as arrogantly telling economists how to do their work and the latter as irrelevant to their practice. The lectures are built around a case study of a concrete example of macroeconomic analysis. They demonstrate that economic methodology and the philosophy of science offer insights that help to resolve the genuine concerns of macroeconomists. Some examples of questions addressed include: What is the relationship between theoretical models and empirical observations? What is the relevance of macroeconomics to policy? Should macroeconomics be viewed as a special case of microeconomics? What is the place of long-standing philosophical issues in macroeconomics, such as the scope and nature of economic laws, the role of idealizations, methodological individualism, and the problem of causality?

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.

Understanding macroeconomic developments and policies in the twenty-first century is daunting: policy-makers face the combined challenges of supporting economic activity and employment, keeping inflation low and risks of financial crises at bay, and navigating the ever-tighter linkages of globalization. Many professionals face demands to evaluate the implications of developments and policies for their business, financial, or public policy decisions. Macroeconomics for Professionals provides a concise, rigorous, yet intuitive framework for assessing a country's macroeconomic outlook and policies. Drawing on years of experience at the International Monetary Fund, Leslie Lipschitz and Susan Schadler have created an operating manual for professional applied economists and all those required to evaluate economic analysis.

A complete course in applied macroeconomics at the intermediate level that emphasizes the application of economic theory to real-world data and policy.

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It contains the most important approaches to analyze time series which may be stationary or nonstationary.

Contemporary Methods and Austrian Economics, examines the relationship between Austrian economics and these new social scientific methods.

"The last decade has seen a lively debate in macroeconomics, with an increasing criticism on the model that seemed to be dominant in literature since the end of the 1990's, the Dynamic Stochastic General Equilibrium (DSGE, hereafter) and, consequently, the birth of some new theoretical approaches and methodologies"--

The Nature and Method of Economic Sciences: Evidence, Causality, and Ends argues that economic phenomena can be examined from five analytical levels: a statistical descriptive approach, a causal explanatory approach, a teleological explicative approach, a normative approach and, finally, the level of application. The above viewpoints are undertaken by different but related economic sciences, including statistics and economic history, positive economics, normative economics, and the 'art of political economy'. Typically, positive economics has analysed economic phenomena using the second approach, causally explaining and often trying to predict the future evolution of the economy. It has not been concerned with the ends selected by the individual or society, taking them as given. However, various new economic currents have emerged during the last 40 years, and some of these do assign a fundamental role to ends within economics. This book argues that the field of positive economics should adapt to deal with the issues that arise from this. The text attempts to discern the nature of economic phenomena, introducing the different approaches and corresponding economic sciences. It goes on to analyse the epistemological characteristics of these in the subsequent chapters, as well as their disciplinary interrelations. This book is a valuable resource for students and scholars of the social sciences, philosophy, and the philosophy of economics. It will also be of interest to those researching political economy and the development of economic thought.