Cross Section and Experimental Data Analysis Using EViews

<b>A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews.</b> <p>”<i>This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis … The strength of the book lies in its wealth of material and well structured guidelines</i> …” <b>Prof.</b> <b>Yohanes Eko Riyanto</b>, <i>Nanyang Technological University, Singapore</i></p> <p>”<i>This is superb and brilliant. Prof. Agung has skilfully transformed his best experiences into new knowledge … creating a new way of understanding data analysis</i>.” <b>Dr. I Putu Gede Ary Suta</b>, <i>The Ary Suta Center, Jakarta</i></p> <p>Basic theoretical concepts of statistics as well as sampling methods are often misinterpreted by students and less experienced researchers. This book addresses this issue by providing a hands-on practical guide to conducting data analysis using EViews combined with a variety of illustrative models (and their extensions). Models having numerically dependent variables based on a cross-section data set (such as univariate, multivariate and nonlinear models as well as non-parametric regressions) are concentrated on. It is shown that a wide variety of hypotheses can easily be tested using EViews.</p> <p><i>Cross Section and Experimental Data Analysis Using EViews</i>:</p> <ul type=”disc”> <li>Provides step-by-step directions on how to apply EViews to cross section data analysis – from multivariate analysis and nonlinear models to non-parametric regression</li> <li>Presents a method to test for all possible hypotheses based on each model</li> <li>Proposes a new method for data analysis based on a multifactorial design model</li> <li>Demonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making</li> <li>Contains 200 examples with special notes and comments based on the author’s own empirical findings as well as over 400 illustrative outputs of regressions from EViews</li> <li>Techniques are illustrated through practical examples from real situations</li> <li>Comes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the book</li> </ul> <p>This user-friendly introduction to EViews is ideal for Advanced undergraduate and graduate students taking finance, econometrics, population, or public policy courses, as well as applied policy researchers.</p>