Multicollinearity In Econometric Models PDF Download
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| Author | : Dr.M. Chandrasekhar Reddy & Dr.P. Balasubramanyam |
| Publisher | : KY Publications |
| Total Pages | : 150 |
| Release | : 2021-09-01 |
| Genre | : Business & Economics |
| ISBN | : 8194807549 |
Download MULTICOLLINEARITY IN ECONOMETRIC MODELS Book in PDF, ePub and Kindle
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.
| Author | : D. Neeleman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 111 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 9401174865 |
Download Multicollinearity in linear economic models Book in PDF, ePub and Kindle
It was R. Frisch, who in his publications 'Correlation and Scatter Analysis in Statistical Variables' (1929) and 'Statistical Confluence Analysis by means of Complete Regression Systems' (1934) first pointed out the complications that arise if one applies regression analysis to variables among which several independent linear relations exist. Should these relationships be exact, then there exist two closely related solutions for this problem, viz. 1. The estimation of 'stable' linear combinations of coefficients, the so-called estimable functions. 2. The dropping of the wen-known condition of unbiasedness of the estimators. This leads to minimum variance minimum bias estimators. This last solution is generalised in this book for the case of a model consisting of several equations. In econometrics however, the relations among variables are nearly always approximately linear so that one cannot apply one of the solutions mentioned above, because in that case the matrices used in these methods are, although ill-conditioned, always of full rank. Approximating these matrices by good-conditioned ones of the desired rank, it is possible to apply these estimation methods. In order to get an insight in the consequences of this approximation a simulation study has been carried out for a two-equation model. Two Stage Least Squares estimators and estimators found with the aid of the above mentioned estimation method have been compared. The results of this study seem to be favourable for this new method.
| Author | : Roberto Pedace |
| Publisher | : John Wiley & Sons |
| Total Pages | : 380 |
| Release | : 2013-06-05 |
| Genre | : Business & Economics |
| ISBN | : 1118533879 |
Download Econometrics For Dummies Book in PDF, ePub and Kindle
Score your highest in econometrics? Easy. Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics. Econometrics For Dummies breaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. An excellent resource for anyone participating in a college or graduate level econometrics course Provides you with an easy-to-follow introduction to the techniques and applications of econometrics Helps you score high on exam day If you're seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, Econometrics For Dummies has you covered.
| Author | : D. Neeleman |
| Publisher | : Springer |
| Total Pages | : 103 |
| Release | : 1973-07-31 |
| Genre | : Business & Economics |
| ISBN | : 9789023729105 |
Download Multicollinearity in linear economic models Book in PDF, ePub and Kindle
It was R. Frisch, who in his publications 'Correlation and Scatter Analysis in Statistical Variables' (1929) and 'Statistical Confluence Analysis by means of Complete Regression Systems' (1934) first pointed out the complications that arise if one applies regression analysis to variables among which several independent linear relations exist. Should these relationships be exact, then there exist two closely related solutions for this problem, viz. 1. The estimation of 'stable' linear combinations of coefficients, the so-called estimable functions. 2. The dropping of the wen-known condition of unbiasedness of the estimators. This leads to minimum variance minimum bias estimators. This last solution is generalised in this book for the case of a model consisting of several equations. In econometrics however, the relations among variables are nearly always approximately linear so that one cannot apply one of the solutions mentioned above, because in that case the matrices used in these methods are, although ill-conditioned, always of full rank. Approximating these matrices by good-conditioned ones of the desired rank, it is possible to apply these estimation methods. In order to get an insight in the consequences of this approximation a simulation study has been carried out for a two-equation model. Two Stage Least Squares estimators and estimators found with the aid of the above mentioned estimation method have been compared. The results of this study seem to be favourable for this new method.
| Author | : Josef Gruber |
| Publisher | : Vandehoeck & Rupprecht |
| Total Pages | : 156 |
| Release | : 1984 |
| Genre | : Business & Economics |
| ISBN | : |
Download Multicollinearity and Biased Estimation Book in PDF, ePub and Kindle
| Author | : J.H.F. Schilderinck |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461340519 |
Download Regression and factor analysis applied in econometrics Book in PDF, ePub and Kindle
This book deals with the methods and practical uses of regression and factor analysis. An exposition is given of ordinary, generalized, two- and three-stage estimates for regression analysis, the method of principal components being applied for factor analysis. When establishing an econometric model, the two ways of analysis complement each other. The model was realized as part of the 'Interplay' research project concerning the economies of the European Common Market countries at the Econometrics Department of the Tilburg School of Economics. The Interplay project aims at: a. elaborating more or less uniformly defined and estimated models; b. clarifying the economic structure and the economic policy possible with the linked models of the European Community countries. Besides the model for the Netherlands published here, the models for Belgium, Italy, West Germany and the United Kingdom are ready for linking and for publishing later on. The econometric model presented in this book and upon which the Interplay model is based comprises eleven structural and twenty-one definitional equations; it is estimated with ordinary, two- and three-stage least squares. The analysis of the model is directed at eliminating multicollinearity, accor ding to D.E. Farrar's and R. Glauber's method. In practice, however, complete elimination of multicollinearity leads to an exclusion of certain relations which is not entirely satisfactory. Economic relations can be dealt with more fully by analyzing the variables involved in detail by factor analysis. In this study factor analysis is also a suitable method for a comparative analysis of different periods.
| Author | : Peter Kennedy |
| Publisher | : John Wiley & Sons |
| Total Pages | : 608 |
| Release | : 2008-02-19 |
| Genre | : Business & Economics |
| ISBN | : 1405182571 |
Download A Guide to Econometrics Book in PDF, ePub and Kindle
Dieses etwas andere Lehrbuch bietet keine vorgefertigten Rezepte und Problemlösungen, sondern eine kritische Diskussion ökonometrischer Modelle und Methoden: voller überraschender Fragen, skeptisch, humorvoll und anwendungsorientiert. Sein Erfolg gibt ihm Recht.
| Author | : Christian Kleiber |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 229 |
| Release | : 2008-12-10 |
| Genre | : Business & Economics |
| ISBN | : 0387773185 |
Download Applied Econometrics with R Book in PDF, ePub and Kindle
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
| Author | : Donald Eugene Farrar |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 96 |
| Release | : 2017-08-08 |
| Genre | : |
| ISBN | : 9781974353095 |
Download Multicollinearity in Regression Analysis Book in PDF, ePub and Kindle
To most economists the single equation least squares regression model, like an old friend, is tried and true. Its properties and limitations have been extensively studied, documented and are, for the most part, well known. Any good text in econometrics can lay out the assumptions on which the model is based and provide a reasonably coherent -- perhaps even a lucid --discussion of problems that arise as particular assumptions are violated. A short bibliography of definitive papers on such classical problems as non-normality, heteroscedasticity, serial correlation, feedback, etc., completes the job.
| Author | : Panchanan Das |
| Publisher | : Springer Nature |
| Total Pages | : 565 |
| Release | : 2019-09-05 |
| Genre | : Business & Economics |
| ISBN | : 9813290196 |
Download Econometrics in Theory and Practice Book in PDF, ePub and Kindle
This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
