A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. 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. “Cross Section and Experimental Data Analysis Using EViews”: • 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 • Presents a method to test for all possible hypotheses based on each model • Proposes a new method for data analysis based on a multifactorial design model • Demonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making • 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 • Techniques are illustrated through practical examples from real situations • Comes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the book 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.
