Panel Data Analysis using EViews (eBook)

eBook Download: EPUB

2013 | 1. Auflage
544 Seiten
John Wiley & Sons (Verlag)
978-1-118-71556-7 (ISBN)

Infos

A comprehensive and accessible guide to panel data analysis
using EViews software

This book explores the use of EViews software in creating panel
data analysis using appropriate empirical models and real
datasets. Guidance is given on developing alternative
descriptive statistical summaries for evaluation and providing
policy analysis based on pool panel data. Various alternative
models based on panel data are explored, including univariate
general linear models, fixed effect models and causal models, and
guidance on the advantages and disadvantages of each one is
given.

Panel Data Analysis using EViews:
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* Provides step-by-step guidance on how to apply EViews software
to panel data analysis using appropriate empirical models and real
datasets.

* Examines a variety of panel data models along with the
author's own empirical findings, demonstrating the advantages
and limitations of each model.

* Presents growth models, time-related effects models, and
polynomial models, in addition to the models which are commonly
applied for panel data.

* Includes more than 250 examples divided into three groups of
models (stacked, unstacked, and structured panel data), together
with notes and comments.

* Provides guidance on which models not to use in a given
scenario, along with advice on viable alternatives.

* Explores recent new developments in panel data analysis

An essential tool for advanced undergraduate or graduate
students and applied researchers in finance, econometrics and
population studies. Statisticians and data analysts involved
with data collected over long time periods will also find this book
a useful resource.

Autor

I Gusti Ngurah Agung, Graduate School of Management, Faculty of Economics and Business, University of Indonesia

Produkt-Details

• Erscheint lt. Verlag: 31.12.2013
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Data Analysis • Datenanalyse • Finanz- u. Wirtschaftsstatistik • Statistics • Statistics for Finance, Business & Economics • Statistik
• ISBN-10: 1-118-71556-X / 111871556X
• ISBN-13: 978-1-118-71556-7 / 9781118715567