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Foundations of Econometrics

Foundations of Econometrics
Author: Albert Madansky
Publisher: Elsevier
Total Pages: 275
Release: 2014-07-22
Genre: Business & Economics
ISBN: 1483275256

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Advanced Textbooks in Economics, Volume 7: Foundations of Econometrics focuses on the principles, processes, methodologies, and approaches involved in the study of econometrics. The publication examines matrix theory and multivariate statistical analysis. Discussions focus on the maximum likelihood estimation of multivariate normal distribution parameters, point estimation theory, multivariate normal distribution, multivariate probability distributions, Euclidean spaces and linear transformations, orthogonal transformations and symmetric matrices, and determinants. The manuscript then ponders on linear expected value models and simultaneous equation estimation. Topics include random exogenous variables, maximum likelihood estimation of a single equation, identification of a single equation, linear stochastic difference equations, and errors-in-variables models. The book takes a look at a prolegomenon to econometric model building, tests of hypotheses in econometric models, multivariate statistical analysis, and simultaneous equation estimation. Concerns include maximum likelihood estimation of a single equation, tests of linear hypotheses, testing for independence, and causality in economic models. The publication is a valuable source of data for economists and researchers interested in the foundations of econometrics.


The Foundations of Econometric Analysis

The Foundations of Econometric Analysis
Author: David F. Hendry
Publisher: Cambridge University Press
Total Pages: 582
Release: 1997-02-20
Genre: Business & Economics
ISBN: 9780521588706

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Collection of classic papers by pioneer econometricians


Introduction to the Mathematical and Statistical Foundations of Econometrics

Introduction to the Mathematical and Statistical Foundations of Econometrics
Author: Herman J. Bierens
Publisher: Cambridge University Press
Total Pages: 356
Release: 2004-12-20
Genre: Business & Economics
ISBN: 9780521542241

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This book is intended for use in a rigorous introductory PhD level course in econometrics.


Econometric Foundations Pack with CD-ROM

Econometric Foundations Pack with CD-ROM
Author: Ron Mittelhammer (Prof.)
Publisher: Cambridge University Press
Total Pages: 794
Release: 2000-07-28
Genre: Business & Economics
ISBN: 9780521623940

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The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.


Statistical Foundations of Econometric Modelling

Statistical Foundations of Econometric Modelling
Author: Aris Spanos
Publisher: Cambridge University Press
Total Pages: 722
Release: 1986-10-30
Genre: Business & Economics
ISBN: 9780521269124

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A thorough foundation in probability theory and statistical inference provides an introduction to the underlying theory of econometrics that motivates the student at a intuitive as well as a formal level.


Topics in Advanced Econometrics

Topics in Advanced Econometrics
Author: Phoebus J. Dhrymes
Publisher: Springer Science & Business Media
Total Pages: 390
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461245486

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For sometime now, I felt that the evolution of the literature of econo metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den sity functions. Even in standard traditional topics, one is often compelled to resort to heuristics; for example, it is difficult to prove central limit theorems for nonidentically distributed or martingale sequences, solely by the use of characteristic functions. Yet such proofs are essential, even in only moderately sophisticated classroom exposition. Unfortunately, relatively few students enter a graduate economics de partment ready to tackle probability theory in measure theoretic terms. The present volume has grown out of the need to lay the foundation for such discussions. The motivating forces were, chiefly, (a) the frustration one encounters in attempting to communicate certain concepts to stu dents wholly in analytic terms; and (b) the unwillingness of the typical student to sit through several courses in mathematics departments, in order to acquire the requisite background.


Statistical Foundations for Econometric Techniques

Statistical Foundations for Econometric Techniques
Author: Asad Zaman
Publisher: Emerald Group Pub Limited
Total Pages: 570
Release: 1996
Genre: Business & Economics
ISBN: 9780127754154

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Statistical Foundations for Econometric Techniques features previously unavailable material in a textbook format for econometrics students, researchers, and practitioners. Taking strong positions for and against standard econometric techniques, the book endorses a single best technique whenever possible. In many cases, the recommended optimal technique differs substantially from current practice. Detailed discussions present many new estimation strategies superior to conventional OLS and ways to use them. Key Features * Evaluates econometric techniques and the procedures commonly used to analyze those techniques * Challenges established concepts * Introduces many techniques that are not available in other texts * Recommends against using the Durbin-Watson and Lagrange Multiplier tests in favor of tests with superior power * Provides many new types of estimation strategies superior to conventional OLS * Forms a judicious mixture of various methodological approaches * Illustrates Empirical Bayes estimators and Robust Regression techniques possessing a 50% breakdown value


Foundations Of Modern Econometrics: A Unified Approach

Foundations Of Modern Econometrics: A Unified Approach
Author: Yongmiao Hong
Publisher: World Scientific
Total Pages: 523
Release: 2020-07-13
Genre: Business & Economics
ISBN: 9811220204

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Modern economies are full of uncertainties and risk. Economics studies resource allocations in an uncertain market environment. As a generally applicable quantitative analytic tool for uncertain events, probability and statistics have been playing an important role in economic research. Econometrics is statistical analysis of economic and financial data. In the past four decades or so, economics has witnessed a so-called 'empirical revolution' in its research paradigm, and as the main methodology in empirical studies in economics, econometrics has been playing an important role. It has become an indispensable part of training in modern economics, business and management.This book develops a coherent set of econometric theory, methods and tools for economic models. It is written as a textbook for graduate students in economics, business, management, statistics, applied mathematics, and related fields. It can also be used as a reference book on econometric theory by scholars who may be interested in both theoretical and applied econometrics.


The Foundations of Econometrics

The Foundations of Econometrics
Author: Swamy. P. A. V. B.
Publisher:
Total Pages: 64
Release: 1984
Genre: Econometrics
ISBN:

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An Introduction to Mathematical Analysis for Economic Theory and Econometrics

An Introduction to Mathematical Analysis for Economic Theory and Econometrics
Author: Dean Corbae
Publisher: Princeton University Press
Total Pages: 696
Release: 2009-02-17
Genre: Business & Economics
ISBN: 1400833086

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Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem Focuses on examples from econometrics to explain topics in measure theory