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Livres anciens et modernes

T. Lakshmanasamy

Econometric Applications: Empirics of Simultaneous Equations, Time Series, Qualitative Response And Panel Data Models [Hardcover]

Kalpaz Publications, 2020

59,56 €

Gyan Books Pvt Ltd

(Delhi, Inde)

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Mode de Paiement

Détails

Année
2020
ISBN
1111016927406
Auteur
T. Lakshmanasamy
Pages
396
Éditeurs
Kalpaz Publications
Thème
Economics
Langues
Anglais
Reliure
Couverture rigide
Print on demand
Oui

Description

ABOUT THE BOOK:- Understanding human behaviour eludes scientific inquiries despite significant advances and great breakthroughs. Evenmore challenging is the quantitative analysis of human decisions for which econometric methods are widely applied. Econometrics analysis is the art of understanding the nuances of information contained in data and drawing meaningful inferences from the statistical techniques based on mathematical tools. Understanding the nature of data and identifying appropriate techniques for efficient and consistent estimates of the causal relationship is a great learning of a researcher that comes with practical experience only. The papers in this volume attempt to unravel the econometric issues of many economic problems. Using strong economic theories, rich data and powerful econometric methods, this book analyses the underlying data issues, identification of estimation methods, empirical analyses and draws inferences for many of the individual and household behaviours as well as state, national and international macroeconomic issues. The econometric methods that comprise this book are simultaneous equations methods, time series models, qualitative response dependent variable models and panel data methods. This volume demonstrates the comprehensive nature of econometric approaches that is at the heart of any empirical study and highlight the appropriateness of quantitative analysis for inferences from data, decision making and drawing policy implications. The book is intended to be a reference guide for a rigorous quantitative analysis of economic data and econometric applications.
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