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Essential Econometric Techniques A Guide To Concepts And Applications at Meripustak

Essential Econometric Techniques A Guide To Concepts And Applications by Elia Kacapyr, Taylor & Francis Ltd

Books from same Author: Elia Kacapyr

Books from same Publisher: Taylor & Francis Ltd

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  • General Information  
    Author(s)Elia Kacapyr
    PublisherTaylor & Francis Ltd
    ISBN9781032101217
    Pages220
    BindingSoftbound
    LanguageEnglish
    Publish YearMarch 2022

    Description

    Taylor & Francis Ltd Essential Econometric Techniques A Guide To Concepts And Applications by Elia Kacapyr

    Now in its third edition, Essential Econometric Techniques: A Guide to Concepts and Applications is a concise, student-friendly textbook which provides an introductory grounding in econometrics, with an emphasis on the proper application and interpretation of results._x000D__x000D_Drawing on the author's extensive teaching experience, this book offers intuitive explanations of concepts such as heteroskedasticity and serial correlation, and provides step-by-step overviews of each key topic. _x000D__x000D_This new edition contains more applications, brings in new material including a dedicated chapter on panel data techniques, and moves the theoretical proofs to appendices. After Chapter 7, students will be able to design and conduct rudimentary econometric research. The next chapters cover multicollinearity, heteroskedasticity, and autocorrelation, followed by techniques for time-series analysis and panel data._x000D__x000D_Excel data sets for the end-of-chapter problems are available as a digital supplement. A solutions manual is also available for instructors, as well as PowerPoint slides for each chapter._x000D__x000D_Essential Econometric Techniques shows students how economic hypotheses can be questioned and tested using real-world data, and is the ideal supplementary text for all introductory econometrics courses._x000D_ Table of Contents:- _x000D_ Chapter 1 The Nature of Econometrics Chapter 2 Simple Regression Analysis Chapter 3 Residual Statistics Chapter 4 Hypothesis Testing Chapter 5 Multivariate Regression Chapter 6 Alternate Functional Forms Chapter 7 Dichotomous Variables Chapter 8 The Classical Linear Regression Model Chapter 9 Multicollinearity Chapter 10 Heteroskedasticity Chapter 11 Serial Correlation Chapter 12 Time-Series Techniques Chapter 13 Panel Data Techniques Critical Values Tables Cited Works_x000D_



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