Name: Panel Data Econometrics: Common Factor Analysis for Empirical Researchers (en Inglés)
Price: 418431.00 COP
Availability: InStock
Author: Donggyu Sul
ISBN: 9781138389663

portada Panel Data Econometrics: Common Factor Analysis for Empirical Researchers (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Donggyu Sul

Año

2019

Idioma

Inglés

N° páginas

164

Encuadernación

Tapa Dura

ISBN13

9781138389663

N° edición

Categorías

Econometría

Panel Data Econometrics: Common Factor Analysis for Empirical Researchers (en Inglés)

Donggyu Sul (Autor) · Routledge · Tapa Dura

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Reseña del libro "Panel Data Econometrics: Common Factor Analysis for Empirical Researchers (en Inglés)"

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.