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This book gives the reader a unique survey of the most recent advances in economic theory.
These articles should be helpful to anyone with training in economics.
The first volume of edited papers from the Tenth World Congress of the Econometric Society 2010.
Macroeconomic policy is one of the most important policy domains, and the tools of macroeconomics are among the most valuable for policy makers. Yet there has been, up to now, a wide gulf between the level at which macroeconomics is taught at the undergraduate level and the level at which it is practiced. At the same time, doctoral-level textbooks are usually not targeted at a policy audience, making advanced macroeconomics less accessible to current and aspiring practitioners. This book, born out of the Masters course the authors taught for many years at the Harvard Kennedy School, fills this gap. It introduces the tools of dynamic optimization in the context of economic growth, and then applies them to a wide range of policy questions – ranging from pensions, consumption, investment and finance, to the most recent developments in fiscal and monetary policy. It does so with the requisite rigor, but also with a light touch, and an unyielding focus on their application to policy-making, as befits the authors’ own practical experience. Advanced Macroeconomics: An Easy Guide is bound to become a great resource for graduate and advanced undergraduate students, and practitioners alike.
This book gives the reader a unique survey of advances in economic theory.
In this study, Don Ross explores the relationship of economics to other branches of behavioral science, asking, in the course of his analysis, under what interpretation economics is a sound empirical science. The book explores the relationships between economic theory and the theoretical foundations of related disciplines that are relevant to the day-to-day work of economics—the cognitive and behavioral sciences. It asks whether the increasingly sophisticated techniques of microeconomic analysis have revealed any deep empirical regularities—whether technical improvement represents improvement in any other sense. Casting Daniel Dennett and Kenneth Binmore as its intellectual heroes, the book proposes a comprehensive model of economic theory that, Ross argues, does not supplant, but recovers the core neoclassical insights, and counters the caricaturish conception of neoclassicism so derided by advocates of behavioral or evolutionary economics. Because he approaches his topic from the viewpoint of the philosophy of science, Ross devotes one chapter to the philosophical theory and terminology on which his argument depends and another to related philosophical issues. Two chapters provide the theoretical background in economics, one covering developments in neoclassical microeconomics and the other treating behavioral and experimental economics and evolutionary game theory. The three chapters at the heart of the argument then apply theses from the philosophy of cognitive science to foundational problems for economic theory. In these chapters, economists will find a genuinely new way of thinking about the implications of cognitive science for economics, and cognitive scientists will find in economic behavior, a new testing site for the explanations of cognitive science.
This book rethinks economic theory and calls for a creative and pragmatic approach to policymaking. It examines what development and sustenance of economic progress mean, and how these may be facilitated. The relevance of this issue has received fresh impetus from the significant changes in the degree and pattern of international economic relations that are unfolding across the world, posing both opportunities and challenges. While globalisation of goods and financial markets may have delivered high growth for some nations, the distribution of the benefits has often been highly unequal, with gains to owners of capital and skills being disproportionately higher compared to that of labour, especially the unskilled. Widening and persistent inequalities have been at the heart of rising polarisation and spread of conflicts that threaten the social fabric. This work emphasises the relevance of a broad policy framework based on building individual capabilities and in line with a human-centric perspective. At the same time, it points out the crucial need to create policy space for macroeconomic stability and to accommodate heterodox influences, especially when conventional wisdom proves inadequate, as starkly demonstrated inter alia during the recent global financial crisis. This festschrift, dedicated to Deepak Nayyar, presents chapters on diverse themes that address the persisting global problems of poverty, inequality and sustaining development. The book will be of great interest to scholars and researchers of economics, development studies, public policy and governance, and also to policymakers, government officials and those in media.
This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.