Book : Econometrics For Dummies - Pedace, Roberto

-Titulo Original : Econometrics For Dummies

-Fabricante :

For Dummies

-Descripcion Original:

Score your highest in econometrics? Easy.Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics.Econometrics For Dummies breaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.An excellent resource for anyone participating in a college or graduate level econometrics courseProvides you with an easy-to-follow introduction to the techniques and applications of econometricsHelps you score high on exam dayIf youre seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, Econometrics For Dummies has you covered. From the Inside Flap Learn to:Grasp the techniques and applications of econometricsMake sense of complex concepts and materialUse specialized software to apply your acquired econometrics skillsUnderstand econometric theory and apply econometric techniquesEconometrics can prove challenging for many students. Thankfully, Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.The nuts and bolts - get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysisForm and function - discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of dataDont assume - find out how econometricians use some bizarre titles to identify problems that violate CLRM assumptionsBe discrete - get to know how discrete and restricted dependent variables can create problems for traditional regression analysis and discover the techniques econometricians have developed to modify traditional regression analysisMake special note - delve deeper into a few specialized areas of econometrics, namely time-series analysis, pooled cross sections, and panel econometricsOpen the book and find:Plain-English explanations of complex materialComputer outputs from STATA for many of the examplesThe economists approach to statistical analysisThe various characteristics of the classical linear regression modelThe most common problems encountered when performing regression analysisLots of helpful figuresCommon mistakes in applied econometrics From the Back Cover Learn to:Grasp the techniques and applications of econometricsMake sense of complex concepts and materialUse specialized software to apply your acquired econometrics skillsUnderstand econometric theory and apply econometric techniquesEconometrics can prove challenging for many students. Thankfully, Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.The nuts and bolts - get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysisForm and function - discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of dataDont assume - find out how econometricians use some