Regression and factor analysis applied in econometrics

Regression and factor analysis applied in econometrics
Author: J.H.F. Schilderinck
Publisher: Springer Science & Business Media
Total Pages: 247
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461340519
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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.

Factor analysis applied to developed and developing countries

Factor analysis applied to developed and developing countries
Author: J.H.F. Schilderinck
Publisher: Springer
Total Pages: 81
Release: 2014-10-09
Genre: Business & Economics
ISBN: 9789401572033
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The Tilburg Institute of Economics - Institute of the Economic Faculty of the Tilburg University - proposes itself to publish results of economic research taking part in the F acul ty . To facilitate the choice of the potential reader, every publication will be marked by the department, where the publication took its origin. As Mr. Schilderinck's 'Factor Analysis' applied to developed and developing countries, is a result of research in the Econometric Department, it is mark ed Econometrics. Every publication will be published under the supervision of the head of the department. For this reason this preface is written by the head of the Econometric Department. Mr. Schilderinck's study forms an introduction to a larger project of research, which proposes itself to develop methods of analysis, which try to eliminate the difficulties of multi-collinearity and the arbitrariness of the introduction of lags in regression analysis. This study applies the method of factor analysis to statistical material collected by the Institute of Development Problems of our University. Prof. Dr. J. J. J. Dalmulder Head of Department of Econometrics v Contents PREFACE. . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . v . . . . . INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . .. . . IX . . . 1. AIM OF FACTOR ANALYSIS . . . . . . . . . . . . . . . . . . . . . 3 2. THE METHOD OF FACTOR ANALYSIS. 3 2.1 Normalisation of the variables . . . 4 2.2 Correlation and variance in factor analysis . 5 2.3 The model of the factor analysis 2.4 Solution of the model ..... . 9 2.5 Interpretation of the final aspects . 17 3. APPLICATION OF FACTOR ANALYSIS TO DATA FROM DEVELOPING COUNTRIES . . . . . . . . . . . . . . . .. . . 22 . .

Large Dimensional Factor Analysis

Large Dimensional Factor Analysis
Author: Jushan Bai
Publisher: Now Publishers Inc
Total Pages: 90
Release: 2008
Genre: Business & Economics
ISBN: 1601981449
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Large Dimensional Factor Analysis provides a survey of the main theoretical results for large dimensional factor models, emphasizing results that have implications for empirical work. The authors focus on the development of the static factor models and on the use of estimated factors in subsequent estimation and inference. Large Dimensional Factor Analysis discusses how to determine the number of factors, how to conduct inference when estimated factors are used in regressions, how to assess the adequacy pf observed variables as proxies for latent factors, how to exploit the estimated factors to test unit root tests and common trends, and how to estimate panel cointegration models.

Applied Regression Analysis and Other Multivariable Methods

Applied Regression Analysis and Other Multivariable Methods
Author: David G. Kleinbaum
Publisher: Duxbury Resource Center
Total Pages: 748
Release: 1988
Genre: Mathematics
ISBN:
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* An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the social and behavioral sciences.

Applied Regression Analysis for Business

Applied Regression Analysis for Business
Author: Jacek Welc
Publisher: Springer
Total Pages: 294
Release: 2017-12-29
Genre: Business & Economics
ISBN: 3319711563
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This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

Essential Statistics, Regression, and Econometrics

Essential Statistics, Regression, and Econometrics
Author: Gary Smith
Publisher: Academic Press
Total Pages: 397
Release: 2015-06-08
Genre: Mathematics
ISBN: 0128034920
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Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics Focuses on essential information to enable students to develop their own statistical reasoning Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

Applied Econometrics with R

Applied Econometrics with R
Author: Christian Kleiber
Publisher: Springer Science & Business Media
Total Pages: 229
Release: 2008-12-10
Genre: Business & Economics
ISBN: 0387773185
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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.

Panel Data Econometrics

Panel Data Econometrics
Author: Donggyu Sul
Publisher: Routledge
Total Pages: 143
Release: 2019-02-07
Genre: Business & Economics
ISBN: 0429752970
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In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile, the statistical methods employed by applied researchers have not kept up-to-date. This book attempts to fill in this gap by teaching researchers how to use the latest panel estimation methods correctly. Almost all applied economics articles use panel data or panel regressions. However, many empirical results from typical panel data analyses are not correctly executed. This book aims to help applied researchers to run panel regressions correctly and avoid common mistakes. The book explains how to model cross-sectional dependence, how to estimate a few key common variables, and how to identify them. It also provides guidance on how to separate out the long-run relationship and common dynamic and idiosyncratic dynamic relationships from a set of panel data. Aimed at applied researchers who want to learn about panel data econometrics by running statistical software, this book provides clear guidance and is supported by a full range of online teaching and learning materials. It includes practice sections on MATLAB, STATA, and GAUSS throughout, along with short and simple econometric theories on basic panel regressions for those who are unfamiliar with econometric theory on traditional panel regressions.

Multivariate Analysis

Multivariate Analysis
Author: Klaus Backhaus
Publisher: Springer Nature
Total Pages: 618
Release: 2023-06-28
Genre: Business & Economics
ISBN: 3658404116
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Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 17th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.