The Rational Expectation Hypothesis Time Varying Parameters And Adaptive Control
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Author | : Marco P. Tucci |
Publisher | : Springer Science & Business Media |
Total Pages | : 268 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 1402028741 |
One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far. The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE). The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.
Author | : Marco P. Tucci |
Publisher | : Springer |
Total Pages | : 262 |
Release | : 2012-08-07 |
Genre | : Business & Economics |
ISBN | : 9781475710601 |
One of the major controversies in macroeconomics over the last 30 years has been that on the effectiveness of stabilization policies. However, this debate, between those who believe that this kind of policies is useless if not harmful and those who argue in favor of it, has been mainly theoretical so far. The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control wants to represent a step toward the construction of a common ground on which to empirically compare the two "beliefs" and to do this three strands of literature are brought together. The first strand is the research on time-varying parameters (TVP), the second strand is the work on adaptive control and the third one is the literature on linear stationary models with rational expectations (RE). The material presented in The Rational Expectation Hypothesis, Time-Varying Parameters and Adaptive Control is divided into two parts. Part 1 combines the strand of literature on adaptive control with that on TVP. It generalizes the approach pioneered by Tse and Bar-Shalom (1973) and Kendrick (1981) and one recently used in Amman and Kendrick (2002), where the law of motion of the TVP and the hyperstructural parameters are assumed known, to the case where the hyperstructural parameters are assumed unknown. Part 2 is devoted to the linear single-equation stationary RE model estimated with the error-in-variables (EV) method. It presents a new formulation of this problem based on the use of TVP in an EV model. This new formulation opens the door to a very promising development. All the theory developed in the first part to control a model with TVP can sic et simpliciter be applied to control a model with RE.
Author | : Marco P. Tucci |
Publisher | : |
Total Pages | : 95 |
Release | : 1993 |
Genre | : |
ISBN | : |
Author | : Karl Schmedders |
Publisher | : Newnes |
Total Pages | : 680 |
Release | : 2013-12-31 |
Genre | : Business & Economics |
ISBN | : 0080931782 |
Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing. Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential. - Samples different styles and approaches, reflecting the breadth of computational economics as practiced today - Focuses on problems with few well-developed solutions in the literature of other disciplines - Emphasizes the potential for increasing the value of computational modeling in economics
Author | : |
Publisher | : |
Total Pages | : 352 |
Release | : 2005 |
Genre | : Economics |
ISBN | : |
Author | : Arthur James Wells |
Publisher | : |
Total Pages | : 1664 |
Release | : 2005 |
Genre | : Bibliography, National |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 1158 |
Release | : 2003 |
Genre | : Economic development |
ISBN | : |
Author | : Lars Peter Hansen |
Publisher | : Princeton University Press |
Total Pages | : 453 |
Release | : 2016-06-28 |
Genre | : Business & Economics |
ISBN | : 0691170975 |
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.
Author | : Cars Hommes |
Publisher | : Cambridge University Press |
Total Pages | : 273 |
Release | : 2013-01-24 |
Genre | : Business & Economics |
ISBN | : 110701929X |
Recognising that the economy is a complex system with boundedly rational interacting agents, applies complexity modelling to economics and finance.
Author | : Petros Ioannou |
Publisher | : Courier Corporation |
Total Pages | : 850 |
Release | : 2013-09-26 |
Genre | : Technology & Engineering |
ISBN | : 0486320723 |
Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.