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Cross Section and Experimental Data Analysis Using EViews

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  • Author(s)I. Gusti Ngurah Agung
  • Edition1
  • Published26th January 2011
  • PublisherJohn Wiley & Sons (Asia)
  • ISBN
A practical guide to selecting and applying the most appropriate
model for analysis of cross section data using EViews.

"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
..." Prof. Yohanes Eko
, Nanyang Technological University, Singapore

"This is superb and brilliant. Prof. Agung has skilfully
transformed his best experiences into new knowledge ... creating a
new way of understanding data analysis
." Dr. I Putu Gede Ary
, The Ary Suta Center, Jakarta

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

  • 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

  • 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

  • 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

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