The Theory of Linear Economic Models
Author | : David Gale |
Publisher | : |
Total Pages | : 360 |
Release | : 1960 |
Genre | : Business & Economics |
ISBN | : |
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Author | : David Gale |
Publisher | : |
Total Pages | : 360 |
Release | : 1960 |
Genre | : Business & Economics |
ISBN | : |
Author | : David Gale |
Publisher | : University of Chicago Press |
Total Pages | : 353 |
Release | : 1989-02-10 |
Genre | : Business & Economics |
ISBN | : 0226278840 |
Reprint of the edition of 1960. Gale (math, economics, operations research, U. of Cal. Berkeley) provides a complete and systematic treatment of the topic. Annotation copyrighted by Book News, Inc., Portland, OR
Author | : James L. Kenkel |
Publisher | : Routledge |
Total Pages | : 338 |
Release | : 2018-04-09 |
Genre | : Business & Economics |
ISBN | : 1351140701 |
Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.
Author | : James Kenkel |
Publisher | : Routledge |
Total Pages | : 401 |
Release | : 2018-04-09 |
Genre | : Business & Economics |
ISBN | : 135114071X |
Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.
Author | : Frauke Schleer-van Gellecom |
Publisher | : Springer Science & Business Media |
Total Pages | : 268 |
Release | : 2013-12-11 |
Genre | : Business & Economics |
ISBN | : 3642420397 |
In recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.
Author | : D. Neeleman |
Publisher | : Springer Science & Business Media |
Total Pages | : 111 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9401174865 |
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 | : David Gale |
Publisher | : |
Total Pages | : 558 |
Release | : 1957 |
Genre | : Economics, Mathematical |
ISBN | : |
Author | : Dale L. Zimmerman |
Publisher | : Springer Nature |
Total Pages | : 504 |
Release | : 2020-11-02 |
Genre | : Mathematics |
ISBN | : 3030520633 |
This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The single most unique feature of the book is that each major concept or result is illustrated with one or more concrete examples or special cases. Commonly used methodologies based on the theory are presented in methodological interludes scattered throughout the book, along with a wealth of exercises that will benefit students and instructors alike. Generalized inverses are used throughout, so that the model matrix and various other matrices are not required to have full rank. Considerably more emphasis is given to estimability, partitioned analyses of variance, constrained least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book is intended for master and PhD students with a basic grasp of statistical theory, matrix algebra and applied regression analysis, and for instructors of linear models courses. Solutions to the book’s exercises are available in the companion volume Linear Model Theory - Exercises and Solutions by the same author.
Author | : Dipak R. Basu |
Publisher | : World Scientific |
Total Pages | : 248 |
Release | : 2009 |
Genre | : Business & Economics |
ISBN | : 9812836454 |
Model Building is the most fruitful area of economics, designed to solve real-world problems using all available methods such as mathematical, computational and analytical, without distinction. Wherever necessary, we should not be reluctant to develop new techniques, whether mathematical or computational. That is the philosophy of this volume. The volume is divided into three distinct parts: Methods, Theory and Applications. The Methods section is in turn subdivided into Mathematical Programming and Econometrics and Adaptive Control System, which are widely used in econometric analysis. The impacts of fiscal policy in a regime with independent monetary authority and dynamic models of environmental taxation are considered. In the section on "Modelling Business Organization," a model of a Japanese organization is presented. Furthermore, a model suitable for an efficient budget management of a health service unit by applying goal programming method is analyzed, taking into account various socio-economic factors. This is followed by a section on "Modelling National Economies," in which macroeconometric models for the EU member countries are analyzed, to find instruments that stabilize inflation with coordinated action.