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A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
Latin American neo-structuralism is a cutting-edge, regionally focused economic theory with broad implications for macroeconomics and development economics. Roberto Frenkel has spent five decades developing the theory's core arguments and expanding their application throughout the discipline, revolutionizing our understanding of high inflation and hyperinflation, disinflation programs, and the behavior of foreign exchange markets as well as financial and currency crises in emerging economies. The essays in this collection assess Latin American neo-structuralism's theoretical contributions and viability as the world's economies evolve. The authors discuss Frenkel's work in relation to pricing decisions, inflation and stabilization policy, development and income distribution in Latin America, and macroeconomic policy for economic growth. An entire section focuses on finance and crisis, and the volume concludes with a neo-structuralist analysis of general aspects of economic development. For those seeking a comprehensive introduction to contemporary Latin American economic thought, this collection not only explicates the intricate work of one of its greatest practitioners but also demonstrates its impact on the growth of economics.
We study the role of uncertainty shocks in explaining unemployment dynamics, separating out the role of aggregate and sectoral channels. Using S&P500 data from the first quarter of 1957 to third quarter of 2014, we construct separate indices to measure aggregate and sectoral uncertainty and compare their effects on the unemployment rate in a standard macroeconomic vector autoregressive (VAR) model. We find that aggregate uncertainty leads to an immediate increase in unemployment, with the impact dissipating within a year. In contrast, sectoral uncertainty has a long-lived impact on unemployment, with the peak impact occurring after two years. The results are consistent with a view that the impact of aggregate uncertainty occurs through a “wait-and-see” mechanism while increased sectoral uncertainty raises unemployment by requiring greater reallocation across sectors.
How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.
Macroeconomic Investment Strategies for an Era of Economic Uncertainty “Over the years, François’ insightful analyses of the business cycle has led to market calls that have both benefitted investors on the upside and (more important to many) protected them from losses on the downside. François’ incredible track record in successfully interpreting the trends that can be found in leading indicators and other macroeconomic data have also led to his well deserved reputation as an expert in sector rotation - providing investors on both the long and short side of the market opportunities to profit from his ideas. In my opinion, his most important and influential macro prediction to date was his call in the middle of the last decade when he predicted that the worst housing crisis in American history would soon be upon us, and that it would have far-ranging implications for both the global economy and world financial markets.”
The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
This book is set against the assumption that humans' unique feature is their infinite creativity, their ability to reflect on their deeds and to control their actions. These skills give rise to genuine uncertainty in society and hence in the economy. Here, the author sets out that uncertainty must take centre stage in all analyses of human decision making and therefore in economics. Uncertainty and Economics carefully defines a taxonomy of uncertainty and argues that it is only uncertainty in its most radical form which matters to economics. It shows that uncertainty is a powerful concept that not only helps to resolve long-standing economic puzzles but also unveils serious contradictions within current, popular economic approaches. It argues that neoclassical, real business cycle, or new-Keynesian economics must be understood as only one way to circumvent the analytical challenges posed by uncertainty. Instead, embracing uncertainty offers a new analytical paradigm which, in this book, is applied to standard economic topics such as institutions, money, the Lucas critique, fiscal policy and asset pricing. Through applying a concise uncertainty paradigm, the book sheds new light on human decision making at large. Offering policy conclusions and recommendations for further theoretical and applied research, it will be of great interest to postgraduate students, academics and policy makers.
This book is a collection of some of Professor Shackle's papers written between 1939 and 1953 is largely concerned with the problems of 'expectation' and 'uncertainty' and with reducing these universal factors to some sort of plausible rules. Also included are essays on interest rates, on investment and employment, and on the philosophy of economics. This book, by one of the finest economic writers of his time, will appeal to anyone with an interest in the history of economics.
Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.
Updates and advances the theory of expected utility as applied to risk analysis and financial decision making.