Foundations of Modern Econometrics Foundations of Modern Econometrics

Foundations of Modern Econometrics

A Unified Approach

    • 104,99 €
    • 104,99 €

Description de l’éditeur

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.Contents: PrefaceIntroduction to EconometricsGeneral Regression AnalysisClassical Linear Regression ModelsLinear Regression Models with Independent ObservationsLinear Regression Models with Dependent ObservationsLinear Regression Models Under Conditional Heteroskedasticity and AutocorrelationInstrumental Variables RegressionGeneralized Method of Moments EstimationMaximum Likelihood Estimation and Quasi-Maximum Likelihood EstimationModern Econometrics: Retrospect and ProspectBibliographyIndex
Readership: Graduate students in economics, business, management, statistics, applied mathematics, and related fields.Econometric;Models;Analytic0Key Features:This book has several important features. First, it covers, in a progressive manner, various econometrics models and related methods from conditional means to possibly nonlinear conditional moments to the entire conditional distributions, and this is achieved in a unified and coherent framework. There exists a strong logical link among the materials covered in different chapters of the bookSecond, the book provides various intuitions, explanations and potential applications for important econometric concepts, theories and methods from an economic perspective. Economic examples are also provided to motivate important econometric methods and models. Such training is indispensable in teaching and learning econometricsThird, the book emphasizes basic training in asymptotic analysis. It first provides a brief review of asymptotic analytic methods and tools, and then show how they are used to develop the econometric theory in each chapter. Asymptotic analysis helps readers gain deep insight into modern econometric theory, particularly the conditions under which the econometric theory, methods and models are valid and applicable. By going through various chapters in this book progressively, readers will learn how to do asymptotic analysis for econometric models. Such skills are useful not only for those students who intend to work on theoretical econometrics, but also for those who intend to work on applied subjects in economics because with such analytic skills, readers will be able to understand more specialized or more advanced econometrics textbooks

GENRE
Entreprise et management
SORTIE
2020
13 juillet
LANGUE
EN
Anglais
LONGUEUR
524
Pages
ÉDITIONS
World Scientific Publishing Company
TAILLE
48,4
Mo

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