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Book Rational Expectations and Econometric Practice

Download or read book Rational Expectations and Econometric Practice written by Robert E. Lucas and published by U of Minnesota Press. This book was released on 1988 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Estimation of Dynamic Econometric Models with Errors in Variables

Download or read book Estimation of Dynamic Econometric Models with Errors in Variables written by Jaime Terceiro Lomba and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new procedure for the maximum-likelihood estimation of dynamic econometric models with errors in both endogenous and exogenous variables is presented in this monograph. A complete analytical development of the expressions used in problems of estimation and verification of models in state-space form is presented. The results are useful in relation not only to the problem of errors in variables but also to any other possible econometric application of state-space formulations.

Book Rational Expectations and Econometric Practice

Download or read book Rational Expectations and Econometric Practice written by Robert E. Lucas and published by U of Minnesota Press. This book was released on 1981 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book The Econometric Analysis of Non Uniqueness in Rational Expectations Models

Download or read book The Econometric Analysis of Non Uniqueness in Rational Expectations Models written by L. Broze and published by Elsevier. This book was released on 2014-06-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the econometric analysis of linear multivariate rational expectation models. It shows that the interpretation of multiplicity in terms of "new degrees of freedom" is consistent with a rigorous econometric reasoning. Non-uniqueness is the central theme of this book. Each chapter is concerned with a specific econometric aspect of rational expectations equilibria. The most constructive result lies in the possibility of an empirical determination of the equilibrium followed by the economy.

Book Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models

Download or read book Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models written by Ray C. Fair and published by . This book was released on 1980 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: A solution method and an estimation method for nonlinear rational expectations models are presented in this paper. The solution method can be used in forecasting and policy applications and can handle models with serial correlation and multiple viewpoint dates. When applied to linear models, the solution method yields the same results as those obtained from currently available methods that are designed specifically for linear models. It is, however, more flexible and general than these methods. For large nonlinear models the results in this paper indicate that the method works quite well. The estimation method is based on the maximum likelihood principal. It is, as far as we know, the only method available for obtaining maximum likelihood estimates for nonlinear rational expectations models. The method has the advantage of being applicable to a wide range of models, including, as a special case, linear , models. The method can also handle different assumptions about the expectations of the exogenous variables, something which is not true of currently available approaches to linear models.

Book Rational Expectations Econometrics

Download or read book Rational Expectations Econometrics written by Lars Peter Hansen and published by CRC Press. This book was released on 2019-09-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the core of the rational expectations revolution is the insight that economic policy does not operate independently of economic agents' knowledge of that policy and their expectations of the effects of that policy. This means that there are very complicated feedback relationships existing between policy and the behaviour of economic agents, and these relationships pose very difficult problems in econometrics when one tries to exploit the rational expectations insight in formal economic modelling. This volume consists of work by two rational expectations pioneers dealing with the "nuts and bolts" problems of modelling the complications introduced by rational expectations. Each paper deals with aspects of the problem of making inferences about parameters of a dynamic economic model on the basis of time series observations. Each exploits restrictions on an econometric model imposed by the hypothesis that agents within the model have rational expectations.

Book The Spectral Maximum Likelihood Estimation of Econometric Models with Stationary Errors

Download or read book The Spectral Maximum Likelihood Estimation of Econometric Models with Stationary Errors written by Antoni Espasa and published by Vandehoeck & Rupprecht. This book was released on 1977 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stationary disturbances and asymptotic theory; Specfiml (spectral full information maximum likelihood) estimation; The specfilm estimation with inadequate sample size; The estimation of the multiple regression model with stationary erros and lagged endogenous variables; The specfilm method as applied to models with lagged endogenous variables; The asymptotic variance matrix of the structural estimators when the erros follow an AR process.

Book Applied Econometric Techniques

Download or read book Applied Econometric Techniques written by Keith Cuthbertson and published by Philip Allan. This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Econometric Techniques is designed to bridge the gap between textbook theory and the advanced applied work required of professional econometricians. The authors emphasize the intuitive aspects of theoretical results to provide insight into solutions of "real world" applied problems. Drawing on their own experience in working for the Bank of England, the International Monetary Fund, the London Business School, and other public and private organizations, the authors use a wealth of examples to illustrate the pitfalls as well as the advantages of sophisticated applied techniques. An introductory chapter provides a "refresher course" in standard econometrics for the professional econometricians, graduate students, and advanced undergraduates for whom the volume is intended. The authors then present recent theoretical innovations such as co-integration, error correction models, ARCH models, disequilibrium Maximum Likelihood models, and the Kalman Filter. In addition, they discuss the underlying philosophy of dynamic modeling that has grown out of the work of several economists at the London School of Economics.

Book Spatial Econometrics  Spatial Autoregressive Models

Download or read book Spatial Econometrics Spatial Autoregressive Models written by Lung-fei Lee and published by World Scientific. This book was released on 2023-10-16 with total page 894 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the most recently developed book in Spatial Econometrics which cover important models and estimation methods. Its coverage is rather broad, and some of the topics covered have only been developed in the recent econometric literature in spatial econometrics.The book summarizes our devoted efforts on spatial econometrics that represent joint contributions with former PhD advisees from the Ohio State University in Columbus, Ohio, USA.The coverage is comprehensive and there are a total of sixteen chapters from basic statistics and statistical theory of linear-quadratic forms, law of large numbers (LLN) and central limit theory (CLT) on martingales to nonlinear spatial mixing and spatial near-epoch dependence theories, which can justify the statistic inferences for various spatial models and their estimation. New estimation and testing approaches in empirical likelihood and general empirical likelihood, and Bootstrapping are presented. Model selection is also discussed in this book. In addition to the popular spatial autoregressive models, there are chapters on multivariate SAR models, simultaneous SAR models, and panel dynamic spatial models. Recent econometric developments on intertemporal spatial models with rational expectations and flows data in trade theory will also be included. In terms of statistics, classical estimation, testing and inference are the main concerns, and we provide classical inference for the justification of Bayesian simulation approaches.

Book Econometrics

    Book Details:
  • Author : Sukesh K. Ghosh
  • Publisher : Englewood Cliffs, N.J. : Prentice Hall
  • Release : 1991
  • ISBN :
  • Pages : 634 pages

Download or read book Econometrics written by Sukesh K. Ghosh and published by Englewood Cliffs, N.J. : Prentice Hall. This book was released on 1991 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deals with problems of estimating and testing socio-economic relations arising in single and simultaneous equations. It discusses recent techniques and models in the discipline and provides a survey of real-world econometric studies.

Book A Rational Expectations Approach to Macroeconometrics

Download or read book A Rational Expectations Approach to Macroeconometrics written by Frederic S. Mishkin and published by University of Chicago Press. This book was released on 2007-11-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Rational Expectations Approach to Macroeconometrics pursues a rational expectations approach to the estimation of a class of models widely discussed in the macroeconomics and finance literature: those which emphasize the effects from unanticipated, rather than anticipated, movements in variables. In this volume, Fredrick S. Mishkin first theoretically develops and discusses a unified econometric treatment of these models and then shows how to estimate them with an annotated computer program.

Book Evaluation of Econometric Models

Download or read book Evaluation of Econometric Models written by Jan Kmenta and published by . This book was released on 1980 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluation of informal models; Specification errors and sensitivity analysis; Formal decision rules for comparing models; Role of time series analysis in econometrics; Experimentation and tests of economic hypotheses.

Book Maximum Likelihood Estimation of Quantitative Spatial Economic Models

Download or read book Maximum Likelihood Estimation of Quantitative Spatial Economic Models written by Shunsuke Segi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents an approach to apply the maximum likelihood estimation (MLE) method to estimate the parameters in quantitative spatial economic models. The proposed method can be applied to any model in which the unique values of the error terms can be recovered from the observed data on the endogenous variables. Through Monte Carlo experiments, I demonstrate three advantages of MLE over the generalized method of moments estimation in the context of quantitative spatial economics. First, the MLE estimator is less biased and has lower variance. Second, MLE can be applied even if the data on exogenous local variables or multiple-period data are unavailable. Third, MLE is less likely to find parameter values which lead to an unstable equilibrium. Further, I present an empirical illustration of MLE with the help of Japanese data.

Book Econometric Modeling

Download or read book Econometric Modeling written by David F. Hendry and published by Princeton University Press. This book was released on 2007-03-25 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.