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Rational Expectations and Econometric Practice

Rational Expectations and Econometric Practice PDF Author: Robert E. Lucas
Publisher: U of Minnesota Press
ISBN: 1452908281
Category :
Languages : en
Pages : 335

Book Description
Assumptions about how people form expectations for the future shape the properties of any dynamic economic model. To make economic decisions in an uncertain environment people must forecast such variables as future rates of inflation, tax rates, governme.

Rational Expectations and Econometric Practice

Rational Expectations and Econometric Practice PDF Author: Robert E. Lucas
Publisher: U of Minnesota Press
ISBN: 1452908281
Category :
Languages : en
Pages : 335

Book Description
Assumptions about how people form expectations for the future shape the properties of any dynamic economic model. To make economic decisions in an uncertain environment people must forecast such variables as future rates of inflation, tax rates, governme.

Causality in Macroeconomics

Causality in Macroeconomics PDF Author: Kevin D. Hoover
Publisher: Cambridge University Press
ISBN: 9780521002882
Category : Business & Economics
Languages : en
Pages : 330

Book Description
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.

Actual Causality

Actual Causality PDF Author: Joseph Y. Halpern
Publisher: MIT Press
ISBN: 0262035022
Category : Computers
Languages : en
Pages : 240

Book Description
Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

Econometrics

Econometrics PDF Author: John Eatwell
Publisher: Springer
ISBN: 1349205702
Category : Business & Economics
Languages : en
Pages : 296

Book Description
This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on econometrics.

Macroeconomics After the Financial Crisis

Macroeconomics After the Financial Crisis PDF Author: Mogens Ove Madsen
Publisher: Routledge
ISBN: 1317300106
Category : Business & Economics
Languages : en
Pages : 216

Book Description
How should Europe cope with the negative and still unfolding economic consequences of the current economic crisis? And why does Europe seem to be more conservative than the USA in dealing with the crisis? Since the outbreak of the current international economic crisis in 2008, the USA and many of the European countries have been tormented by high levels of unemployment and low levels of inflation, interest rates close to zero and fiscal policies of austerity. As such, the modern economic mainstream has been challenged by these empirical facts. Today, several years after the outbreak of the international economic crisis, supply side effects do not seem to be increasing employment as the modern mainstream claimed they would. Aggregate demand has to play a more important role in macroeconomic analysis than hitherto. That is, there is a need for alternative explanations of how a modern macro economy is expected to function and how the macroeconomic outcome could be manipulated by the right economic policy proposals. As expressed by the contents of the present book, a Post Keynesian understanding proposes such an alternative theoretically, methodologically and in terms of policy measures. This book will present new materials and approaches, especially new evidence and new views on the potential problems of public debt, the European Union and the present crisis, Central Banking, hysteresis in an agent based framework, the foundations of macroeconomics and the problems of uncertainty.

Causality in the Sciences

Causality in the Sciences PDF Author: Phyllis Illari
Publisher: OUP Oxford
ISBN: 0191060321
Category : Science
Languages : en
Pages : 953

Book Description
There is a need for integrated thinking about causality, probability and mechanisms in scientific methodology. Causality and probability are long-established central concepts in the sciences, with a corresponding philosophical literature examining their problems. On the other hand, the philosophical literature examining mechanisms is not long-established, and there is no clear idea of how mechanisms relate to causality and probability. But we need some idea if we are to understand causal inference in the sciences: a panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, routinely make use of probability, statistics, theory and mechanisms to infer causal relationships. These disciplines have developed very different methods, where causality and probability often seem to have different understandings, and where the mechanisms involved often look very different. This variegated situation raises the question of whether the different sciences are really using different concepts, or whether progress in understanding the tools of causal inference in some sciences can lead to progress in other sciences. The book tackles these questions as well as others concerning the use of causality in the sciences.

Causation, Prediction, and Search

Causation, Prediction, and Search PDF Author: Peter Spirtes
Publisher: Springer Science & Business Media
ISBN: 1461227488
Category : Mathematics
Languages : en
Pages : 551

Book Description
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.

New Keynesian Economics: Coordination failures and real rigidities

New Keynesian Economics: Coordination failures and real rigidities PDF Author: N. Gregory Mankiw
Publisher: MIT Press
ISBN: 9780262631341
Category : Business & Economics
Languages : en
Pages : 468

Book Description
New keynesian economics/ed. by N. Gregory Mankiw.-v.1

The Cointegrated VAR Model

The Cointegrated VAR Model PDF Author: Katarina Juselius
Publisher: OUP Oxford
ISBN: 0191622966
Category : Business & Economics
Languages : en
Pages : 478

Book Description
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.

Essays in Econometrics

Essays in Econometrics PDF Author: Clive W. J. Granger
Publisher: Cambridge University Press
ISBN: 9780521796491
Category : Business & Economics
Languages : en
Pages : 400

Book Description
These are econometrician Clive W. J. Granger's major essays in causality, integration, cointegration, and long memory.