Simultaneous Inference In Econometric Models
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Simultaneous Inference In Econometric Models
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Author : Walter Katzenbeisser
language : en
Publisher:
Release Date : 1981
Simultaneous Inference In Econometric Models written by Walter Katzenbeisser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Econometric models categories.
Identification And Inference For Econometric Models
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Author : Donald W. K. Andrews
language : en
Publisher: Cambridge University Press
Release Date : 2005-06-17
Identification And Inference For Econometric Models written by Donald W. K. Andrews and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-17 with Business & Economics categories.
This 2005 collection pushed forward the research frontier in four areas of theoretical econometrics.
Inference In The Presence Of Weak Instruments
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Author : D. S. Poskitt
language : en
Publisher:
Release Date : 2013
Inference In The Presence Of Weak Instruments written by D. S. Poskitt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.
Inference in the Presence of Weak Instruments is concerned with inference in the linear simultaneous equations model. The ideas developed for this model have remained central to econometric practice, with the use of instrumental variables estimation having served as a unifying paradigm in econometrics for decades. The literature could be viewed as belonging to one of two strands, either large-sample asymptotic or finite-sample analysis. Of these two strands, the former matured more quickly and has had far greater impact on empirical practice than the latter. In contrast, the finite-sample literature took some twenty years longer to develop, by which time empirical practice was largely entrenched. The consensus view was that the asymptotic results are considerably simpler to interpret than the exact results that are obtained, and are notionally more general as they are predicated on weaker distributional assumptions. Towards the end of the 1980s, both strands of the literature focused attention on models that were either unidentified or close to unidentified. First, there was a growing understanding of the empirical consequences of using weak instruments. Second, the finite-sample results developed throughout the 1980s invariably involved multiple infinite series of invariant polynomials of matrix argument which were typically not very revealing. Consequently, simplifying special cases were explored to illustrate the results contained within the more general expressions. It was observed that the leading terms of these series expansions corresponded to totally unidentified models, and therefore the analyses of these models became a commonly used expository device in this literature. These totally unidentified models can be thought of as limiting cases of weak instruments. Finally, it was becoming clear that the existing large-sample asymptotic results were providing very poor approximations to the true sampling behavior of various statistical procedures. More recently, the literature has been devoted to analyzing potential remedies to the problem of weak instruments Inference in the Presence of Weak Instruments presents a selected survey that examines this growing literature into issues of estimation, hypothesis testing, and confidence interval construction. This survey indicates some of the links between the different traditions by using the small concentration results from an earlier publication of the authors. These results can be used to characterize various special cases when instruments are weak.
An Introduction To Bayesian Inference In Econometrics
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Author : Arnold Zellner
language : en
Publisher: New York : J. Wiley
Release Date : 1971-11-26
An Introduction To Bayesian Inference In Econometrics written by Arnold Zellner and has been published by New York : J. Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-11-26 with Business & Economics categories.
Remarks on inference in economics; Principles of bayesian analysis with selected applications; The univariate normal linear regression model; Special problems in regression analysis; On error in the variables; Analysis of single equation nonlinear models; Time series models: some selected examples; Multivariate regression models; Simultaneous equation econometric models; On comparing and testing hypotheses; Analysis of some control problems.
Statistical Inference In Non Nested Econometric Models
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Author : Michael McAleer
language : en
Publisher:
Release Date : 1985
Statistical Inference In Non Nested Econometric Models written by Michael McAleer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Econometric models categories.
Estimation And Inference In Econometrics
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Author : Russell Davidson
language : en
Publisher:
Release Date : 1993
Estimation And Inference In Econometrics written by Russell Davidson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Econometrics categories.
Offering students a unifying theoretical perspective, this innovative text emphasizes nonlinear techniques of estimation, including nonlinear least squares, nonlinear instrumental variables, maximum likelihood and the generalized method of moments, but nevertheless relies heavily on simple geometrical arguments to develop intuition. One theme of the book is the use of artificial regressions for estimation, inference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, series correlation, heteroskedasticity and other types of misspecification. Other topics include the linear simultaneous equations model, non-nested hypothesis tests, influential observations and leverage, transformations of the dependent variable, binary response models, models for time-series/cross-section data, multivariate models, seasonality, unit roots and cointegration, and Monte Carlo methods, always with an emphasis on problems that arise in applied work.Explaining throughout how estimates can be obtained and tests can be carried out, the text goes beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. A comprehensive and coherent guide to the most vital topics in econometrics today, this text is indispensable for all levels of students of econometrics, economics, and statistics on regression and related topics.
Simulation Based Inference In Econometrics
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Author : Roberto Mariano
language : en
Publisher: Cambridge University Press
Release Date : 2000-07-20
Simulation Based Inference In Econometrics written by Roberto Mariano and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-20 with Business & Economics categories.
This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.
The Formation Of Econometrics
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Author : Qin Duo
language : en
Publisher: Clarendon Press
Release Date : 1993-09-16
The Formation Of Econometrics written by Qin Duo and has been published by Clarendon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-09-16 with Business & Economics categories.
Duo Qin has provided a scholarly study of a crucial period in the history of econometrics. She traces the formation of econometric theory during the period 1930-1960, and focuses on the formalization of mathematical and scientific processes to analyse economic problems. This book deals with the advances made in the practice of econometrics as a discipline, in terms of the basic issues is econometric modelling: the probability of foundations, estimations, identification, testing, and model construction and specification. Duo Qin argues that, while the probability revolution in econometrics in the early 1940s laid the basis for the systematization of econometric theory, it was actually an incomplete revolution, and its incompleteness underlay various problems and failures that occurred in applying the newly eastablished theory to modelling practice. Model construction and hypothesis testing remained problematic because the basic problem of induction in econometrics was not properly formalized and solved. The book thus links early econometric history with many issues of interest to contemporary developments in econometrics.
Causal Inference In Economic Models
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Author : Stephen F. LeRoy
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2020-10-12
Causal Inference In Economic Models written by Stephen F. LeRoy and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.
There exist applications in many research areas including (but not limited to) economics dealing with causation that are analyzed using multi-equation mathematical models. This book develops and describes a formal treatment of causation in such mathematical models. It serves to replace existing treatments of causation, which almost without exception are vague and otherwise unsatisfactory. Development of theory is accompanied here by extensive analysis of examples drawn from the economics literature: treatment evaluation, potential outcomes, applied econometrics. The theory outlined here will be extremely useful in economics and such related fields as biology and biomedicine.
Evaluation Of Econometric Models
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Author : Jan Kmenta
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Evaluation Of Econometric Models written by Jan Kmenta and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Business & Economics categories.
Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.