Panel data econometrics: common factor analysis for empirical researchers
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 resea...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Routledge, Taylor & Francis Group
2019
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| Schlagworte: | |
| Online-Zugang: | UEI01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 online resource |
| ISBN: | 9780429423765 0429423764 9780429752971 0429752970 |
| DOI: | 10.4324/9780429423765 |
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| 520 | |a 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 | ||
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| spelling | Sul, Donggyu 1965- Verfasser aut Panel data econometrics common factor analysis for empirical researchers Donggyu Sul London Routledge, Taylor & Francis Group 2019 1 online resource txt rdacontent c rdamedia cr rdacarrier 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 Panel analysis Econometric models https://doi.org/10.4324/9780429423765 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Sul, Donggyu 1965- Panel data econometrics common factor analysis for empirical researchers Panel analysis Econometric models |
| title | Panel data econometrics common factor analysis for empirical researchers |
| title_auth | Panel data econometrics common factor analysis for empirical researchers |
| title_exact_search | Panel data econometrics common factor analysis for empirical researchers |
| title_exact_search_txtP | Panel data econometrics common factor analysis for empirical researchers |
| title_full | Panel data econometrics common factor analysis for empirical researchers Donggyu Sul |
| title_fullStr | Panel data econometrics common factor analysis for empirical researchers Donggyu Sul |
| title_full_unstemmed | Panel data econometrics common factor analysis for empirical researchers Donggyu Sul |
| title_short | Panel data econometrics |
| title_sort | panel data econometrics common factor analysis for empirical researchers |
| title_sub | common factor analysis for empirical researchers |
| topic | Panel analysis Econometric models |
| topic_facet | Panel analysis Econometric models |
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