Panel Data Econometrics

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A01=Donggyu Sul
advanced regression techniques
Annual Income Growth Rate
applied econometrics
Author_Donggyu Sul
Beta convergence test
Category=KCH
Common dynamic relationship
Common factor structure
Common Time Effects
Convergence
Cross-sectional Dependence
cross-sectional dependence modelling
Cross-sectional Regression
Cross-sectional Regression Result
Dynamic Factor Model
econometric modelling
empirical research methods
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eq_business-finance-law
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eq_isMigrated=2
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Fixed Effect
Fixed Effect Estimator
Fixed Effect Regression
Identification of common factors
Idiosyncratic Components
Idiosyncratic dynamic relationship
Individual Fixed Effect Model
Nonstationary Common Factor
panel data analysis
Panel Gravity Model
PC Estimator
Pool OLS
Pool OLS Estimation
Pool OLS Regression
Prewhitening Method
Principal component analysis
Real Gdp
Relative convergence test
Simple Cross-sectional Regression
Single Factor Case
Static relationship
statistical inference
Time Invariant Term
Time Varying Factor Loadings
Treatment Effect Literature
Weak Cross-sectional Dependence
Weak sigma convergence test

Product details

  • ISBN 9781138389663
  • Weight: 460g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Feb 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile, the statistical methods employed by applied researchers have not kept up-to-date. This book attempts to fill in this gap by teaching researchers how to use the latest panel estimation methods correctly.

Almost all applied economics articles use panel data or panel regressions. However, many empirical results from typical panel data analyses are not correctly executed. This book aims to help applied researchers to run panel regressions correctly and avoid common mistakes. The book explains how to model cross-sectional dependence, how to estimate a few key common variables, and how to identify them. It also provides guidance on how to separate out the long-run relationship and common dynamic and idiosyncratic dynamic relationships from a set of panel data.

Aimed at applied researchers who want to learn about panel data econometrics by running statistical software, this book provides clear guidance and is supported by a full range of online teaching and learning materials. It includes practice sections on MATLAB, STATA, and GAUSS throughout, along with short and simple econometric theories on basic panel regressions for those who are unfamiliar with econometric theory on traditional panel regressions.

Donggyu Sul is currently the John Kain Professor of Economics at the University of Texas at Dallas, USA. He specializes in panel data econometrics, international finance, and empirical economic growth, and his articles have been published in numerous major research journals.

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