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Panel data analysis using eviews / I. Gusti Ngurah Agung.

By: Material type: TextTextPublication details: Chichester : John Wiley, c2014.Description: xx, 517 p. ; illISBN:
  • 9781118715581 (hardback)
Subject(s): DDC classification:
  • 000SA.055 23 Ag284
Contents:
Part I Panel data as a multivariate time series by states-- 1. Data analysis based on a single time series by states-- 2.Data analysis based on bivariate time series by states-- 3. Data analysis based on multivariate time series by states-- 4. Applications of seemingly causal models-- Part II pool panel data analysis-- 5. Evaluation analysis-- 6. General choice models-- 7. Advanced general choice models-- 8. Univariate general linear models-- 9. Fixed-effects models and alternatives-- 10. Special notes on selected problems-- 11. Seemingly causal models-- Part III Balanced panel data as natural experimental data-- 12. Univariate lagged variables autoregressive models-- 13. Multivariate lagged variables autoregressive models-- 14. Applications of GLS regressions-- References-- Index.
Summary: "Panel Data Analysis using EViews provides graduate students, researchers, and statisticians with step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. The author explores a variety of panel data models, along with the authors own empirical findings, demonstrating the advantages and limitations of each model. The text also examines various alternative models based on panel data, as well as the best and worst ANCOVA models"--Summary: "This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets"--
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Includes bibliographical references and index.

Part I Panel data as a multivariate time series by states--
1. Data analysis based on a single time series by states--
2.Data analysis based on bivariate time series by states--
3. Data analysis based on multivariate time series by states--
4. Applications of seemingly causal models--

Part II pool panel data analysis--
5. Evaluation analysis--
6. General choice models--
7. Advanced general choice models--
8. Univariate general linear models--
9. Fixed-effects models and alternatives--
10. Special notes on selected problems--
11. Seemingly causal models--

Part III Balanced panel data as natural experimental data--
12. Univariate lagged variables autoregressive models--
13. Multivariate lagged variables autoregressive models--
14. Applications of GLS regressions--

References--
Index.

"Panel Data Analysis using EViews provides graduate students, researchers, and statisticians with step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. The author explores a variety of panel data models, along with the authors own empirical findings, demonstrating the advantages and limitations of each model. The text also examines various alternative models based on panel data, as well as the best and worst ANCOVA models"--

"This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets"--

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