Econometric Applications Of Maximum Likelihood Methods
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Econometric Applications Of Maximum Likelihood Methods
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Author : J. S. Cramer
language : en
Publisher: CUP Archive
Release Date : 1989-04-28
Econometric Applications Of Maximum Likelihood Methods written by J. S. Cramer and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-04-28 with Business & Economics categories.
The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.
Econometric Applications Of Maximum Likelihood Methods
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Author : Jan Salomon Cramer
language : en
Publisher:
Release Date : 1986
Econometric Applications Of Maximum Likelihood Methods written by Jan Salomon Cramer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.
Maximum Simulated Likelihood Methods And Applications
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Author : William Greene
language : en
Publisher: Emerald Group Publishing
Release Date : 2010-12-03
Maximum Simulated Likelihood Methods And Applications written by William Greene and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-03 with Business & Economics categories.
This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.
Maximum Likelihood Estimation
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Author : Scott R. Eliason
language : en
Publisher: SAGE Publications
Release Date : 1993-08-09
Maximum Likelihood Estimation written by Scott R. Eliason and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-09 with Social Science categories.
"Maximum Likelihood Estimation. . . provides a useful introduction. . . it is clear and easy to follow with applications and graphs. . . . I consider this a very useful book. . . . well-written, with a wealth of explanation. . ." --Dougal Hutchison in Educational Research Eliason reveals to the reader the underlying logic and practice of maximum likelihood (ML) estimation by providing a general modeling framework that utilizes the tools of ML methods. This framework offers readers a flexible modeling strategy since it accommodates cases from the simplest linear models (such as the normal error regression model) to the most complex nonlinear models that link a system of endogenous and exogenous variables with non-normal distributions. Using examples to illustrate the techniques of finding ML estimators and estimates, Eliason discusses what properties are desirable in an estimator, basic techniques for finding maximum likelihood solutions, the general form of the covariance matrix for ML estimates, the sampling distribution of ML estimators; the use of ML in the normal as well as other distributions, and some useful illustrations of likelihoods.
Matrix Differential Calculus With Applications In Statistics And Econometrics
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Author : Jan R. Magnus
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-15
Matrix Differential Calculus With Applications In Statistics And Econometrics written by Jan R. Magnus and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Mathematics categories.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it. Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference. Fulfills the need for an updated and unified treatment of matrix differential calculus Contains many new examples and exercises based on questions asked of the author over the years Covers new developments in field and features new applications Written by a leading expert and pioneer of the theory Part of the Wiley Series in Probability and Statistics Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Selected Papers Of Lawrence R Klein Theoretical Reflections And Econometric Applications
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Author : Kanta Marwah
language : en
Publisher: World Scientific
Release Date : 1997-06-01
Selected Papers Of Lawrence R Klein Theoretical Reflections And Econometric Applications written by Kanta Marwah and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-06-01 with Business & Economics categories.
This volume contains selected papers of Lawrence R Klein in economics, econometric theory and applications in modeling, forecasting, macroeconomic analysis, international economics and public policy. Nobel Laureate Lawrence Klein's bibliography spans a half-century, including books, articles, and chapters in conference proceedings, festschriften, and thematic books. One such volume of solely scientific collections, mainly from his relatively early articles, has already been published. The present volume is different, it includes some articles, but largely chapters, or book excerpts that were mostly written since 1980, the approximate cut-off date of the prior volume, and the year of his Nobel Prize. Also, it includes things that were published in very limited or obscure editions. Thus it provides a more complete picture of his scholarly career and his current reflections on the state of economic science. All these writings are in the vanguard of thinking about economics in a global domain.The thirty-five-plus selections are organized in five parts, by major themes. An editorial commentary introduces each part. The introductory chapters include Klein's autobiographical research commentary, and his professional life philosophy.
Multicollinearity In Econometric Models
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Author : Dr.M. Chandrasekhar Reddy & Dr.P. Balasubramanyam
language : en
Publisher: KY Publications
Release Date : 2021-09-01
Multicollinearity In Econometric Models written by Dr.M. Chandrasekhar Reddy & Dr.P. Balasubramanyam and has been published by KY Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Business & Economics categories.
There are several textbooks are available in literature in Econometrics, but we thought it is really beneficial to students and researchers to have a special textbook on multicollinearity problem in the general linear model. The topic of multicollinearity has gained high importance in recent times as the data getting generated is increased enormously. Because of this data exploration, many variables are representing the same amount of information which leads to the problem of multicollinearity. In the current textbook, the authors tried to explore the topic of multicollinearity along with the basic definitions and key tests available to detect multicollinearity. For all practical application purposes, we included a chapter on empirical analysis that will show how the model goes improved through dealing with the problem of multicollinearity. This book acts as a textbook, reference manual for all students who are studying econometrics at their graduate and post-graduate levels and also for research scholars. The design of contents is structured in such a way that users find it easy to understand and implement the same in their research works.
Econometric Methods With Applications In Business And Economics
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Author : Christiaan Heij
language : en
Publisher: OUP Oxford
Release Date : 2004-03-25
Econometric Methods With Applications In Business And Economics written by Christiaan Heij and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-25 with Business & Economics categories.
Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.
Misspecification Tests In Econometrics
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Author : L. G. Godfrey
language : en
Publisher: Cambridge University Press
Release Date : 1988
Misspecification Tests In Econometrics written by L. G. Godfrey 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 1988 with Business & Economics categories.
Misspecification tests play an important role in detecting unreliable and inadequate economic models. This book brings together many results from the growing literature in econometrics on misspecification testing. It provides theoretical analyses and convenient methods for application. The main emphasis is on the Lagrange multiplier principle, which provides considerable unification, although several other approaches are also considered. The author also examines general checks for model adequacy that do not involve formulation of an alternative hypothesis. General and specific tests are discussed in the context of multiple regression models, systems of simultaneous equations, and models with qualitative or limited dependent variables.
Microeconometrics
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Author : A. Colin Cameron
language : en
Publisher: Cambridge University Press
Release Date : 2005-05-09
Microeconometrics written by A. Colin Cameron 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 2005-05-09 with Business & Economics categories.
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.