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Author : Michael D. Intriligator
Publisher :
Page : 718 pages
File Size : 38,86 MB
Release : 1978
Category : Econometrics
ISBN :
Author : Michael D. Intriligator
Publisher : Pearson
Page : 684 pages
File Size : 26,32 MB
Release : 1996
Category : Business & Economics
ISBN :
This book surveys the theories, techniques (model- building and data collection), and applications of econometrics. KEY TOPICS: It focuses on those aspects of econometrics that are of major importance to readers and researchers interested in performing, evaluating, or understanding econometric studies in a variety of areas. It reviews matrix notation and the use of multivariate statistics; discusses the specification of the model and the development of data for its estimation; covers recent developments in econometric models, techniques, and applications; explains the estimation of single-equation models; and provides case studies of the applications of econometrics to a wide array of areas -- including traditional areas such as the estimation of demand functions and production functions, and macroeconometric models.
Author : Intriligator Michael D.
Publisher :
Page : 638 pages
File Size : 18,68 MB
Release : 1978
Category : Econometrics
ISBN : 9780876921531
Author : K. Puttaswamaiah
Publisher : Indus Publishing
Page : 0 pages
File Size : 31,62 MB
Release : 1994
Category : Econometric models
ISBN : 9788173870118
An attempt has been made in this work to provide a selective set of contributions on economic thinking in their applied aspects. Prof. Jan Tinbergen, the first Nobel Laureate in Economics has said in his 'Foreword' that, This book consists of an impressive set of original contributions of economic thinking in applied version.
Author : Dipak R. Basu
Publisher : World Scientific
Page : 248 pages
File Size : 22,8 MB
Release : 2009
Category : 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.
Author : Sean Holly
Publisher : Cambridge University Press
Page : 324 pages
File Size : 12,21 MB
Release : 2000-09-14
Category : Business & Economics
ISBN : 9780521650694
The latest techniques used in modelling the economy with policy analysis and applications.
Author : Jan Salomon Cramer
Publisher : CUP Archive
Page : 232 pages
File Size : 38,97 MB
Release : 1989-04-28
Category : Business & Economics
ISBN : 9780521378574
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.
Author : Michael David Intriligator
Publisher :
Page : 638 pages
File Size : 43,98 MB
Release : 1978
Category :
ISBN :
Author : Eugene Choo
Publisher : Emerald Group Publishing
Page : 447 pages
File Size : 11,66 MB
Release : 2013-12-18
Category : Business & Economics
ISBN : 1783500530
This volume focuses on recent developments in the use of structural econometric models in empirical economics. The first part looks at recent developments in the estimation of dynamic discrete choice models. The second part looks at recent advances in the area empirical matching models.
Author : L. Anselin
Publisher : Springer Science & Business Media
Page : 295 pages
File Size : 24,42 MB
Release : 2013-03-09
Category : Business & Economics
ISBN : 9401577994
Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.