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Surveys the models of political phenomena that incorporate imperfect information, concentrating on 'full-rationality' approaches as opposed to bounded rationality models.
An exploration of the role that special interest groups play in modern democratic politics.
Political Game Theory is a self-contained introduction to game theory and its applications to political science. The book presents choice theory, social choice theory, static and dynamic games of complete information, static and dynamic games of incomplete information, repeated games, bargaining theory, mechanism design and a mathematical appendix covering, logic, real analysis, calculus and probability theory. The methods employed have many applications in various disciplines including comparative politics, international relations and American politics. Political Game Theory is tailored to students without extensive backgrounds in mathematics, and traditional economics, however there are also many special sections that present technical material that will appeal to more advanced students. A large number of exercises are also provided to practice the skills and techniques discussed.
The first textbook to present a comprehensive and detailed economic analysis of electricity markets, analyzing the tensions between microeconomics and political economy. The power industry is essential in our fight against climate change. This book is the first to examine in detail the microeconomics underlying power markets, stemming from peak-load pricing, by which prices are low when the installed generation capacity exceeds demand but can rise a hundred times higher when demand is equal to installed capacity. The outcome of peak-load pricing is often difficult to accept politically, and the book explores the tensions between microeconomics and political economy. Understanding peak-load pricing and its implications is essential for designing robust policies and making sound investment decisions. Thomas-Olivier Léautier presents the model in its simplest form, and introduces additional features as different issues are presented. The book covers all segments of electricity markets: electricity generation, under perfect and imperfect competition; retail competition and demand response; transmission pricing, transmission congestion management, and transmission constraints; and the current policy issues arising from the entry of renewables into the market and capacity mechanisms. Combining anecdotes and analysis of real situations with rigorous analytical modeling, each chapter analyzes one specific issue, first presenting findings in nontechnical terms accessible to policy practitioners and graduate students in management or public policy and then presenting a more mathematical analytical exposition for students and researchers specializing in the economics of electricity markets and for those who want to understand and apply the underlying models.
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.
Models of Political Economy will introduce students to the basic methodology of political economics. It covers all core theories as well as new developments including: decision theory game theory mechanism design games of asymmetric information. Hannu Nurmi's text will prove to be invaluable to all students who wish to understand this increasingly technical field.
Info-metrics is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is at the intersection of information theory, statistical inference, and decision-making under uncertainty. It plays an important role in helping make informed decisions even when there is inadequate or incomplete information because it provides a framework to process available information with minimal reliance on assumptions that cannot be validated. In this pioneering book, Amos Golan, a leader in info-metrics, focuses on unifying information processing, modeling and inference within a single constrained optimization framework. Foundations of Info-Metrics provides an overview of modeling and inference, rather than a problem specific model, and progresses from the simple premise that information is often insufficient to provide a unique answer for decisions we wish to make. Each decision, or solution, is derived from the available input information along with a choice of inferential procedure. The book contains numerous multidisciplinary applications and case studies, which demonstrate the simplicity and generality of the framework in real world settings. Examples include initial diagnosis at an emergency room, optimal dose decisions, election forecasting, network and information aggregation, weather pattern analyses, portfolio allocation, strategy inference for interacting entities, incorporation of prior information, option pricing, and modeling an interacting social system. Graphical representations illustrate how results can be visualized while exercises and problem sets facilitate extensions. This book is this designed to be accessible for researchers, graduate students, and practitioners across the disciplines.
To study the strategic interaction of individuals, we can use game theory. Despite the long history shared by game theory and political science, many political scientists remain unaware of the exciting game theoretic techniques that have been developed over the years. As a result they use overly simple games to illustrate complex processes. Games, Information, and Politics is written for political scientists who have an interest in game theory but really do not understand how it can be used to improve our understanding of politics. To address this problem, Gates and Humes write for scholars who have little or no training in formal theory and demonstrate how game theoretic analysis can be applied to politics. They apply game theoretic models to three subfields of political science: American politics, comparative politics, and international relations. They demonstrate how game theory can be applied to each of these subfields by drawing from three distinct pieces of research. By drawing on examples from current research projects the authors use real research problems--not hypothetical questions--to develop their discussion of various techniques and to demonstrate how to apply game theoretic models to help answer important political questions. Emphasizing the process of applying game theory, Gates and Humes clear up some common misperceptions about game theory and show how it can be used to improve our understanding of politics. Games, Information, and Politics is written for scholars interested in understanding how game theory is used to model strategic interactions. It will appeal to sociologists and economists as well as political scientists. Scott Gates is Assistant Professor of Political Science, Michigan State University. Brian D. Humes is Associate Professor of Political Science, University of Nebraska-Lincoln.
An authoritative graduate textbook on information choice, an exciting frontier of research in economics and finance Most theories in economics and finance predict what people will do, given what they know about the world around them. But what do people know about their environments? The study of information choice seeks to answer this question, explaining why economic players know what they know—and how the information they have affects collective outcomes. Instead of assuming what people do or don't know, information choice asks what people would choose to know. Then it predicts what, given that information, they would choose to do. In this textbook, Laura Veldkamp introduces graduate students in economics and finance to this important new research. The book illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas. It shows how to build and test applied theory models with information frictions. And it covers recent work on topics such as rational inattention, information markets, and strategic games with heterogeneous information. Illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas Teaches how to build and test applied theory models with information frictions Covers recent research on topics such as rational inattention, information markets, and strategic games with heterogeneous information
Assembling some of the leading figures in the field of macroeconomics, this text highlights the continuing influence of the ideas of Edmund Phelps since the early 1960s. The contributions address many of the most important current areas of macroeconomic research in 2003.