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Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach
https://doi.org/10.24545/00001095
https://doi.org/10.24545/00001095dd388082-6721-4741-8727-c53f9640aa01
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
DP12-08.pdf (469.7 kB)
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| Item type | ディスカッションペーパー / Discussion Paper(1) | |||||||||
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| 公開日 | 2012-08-28 | |||||||||
| タイトル | ||||||||||
| タイトル | Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach | |||||||||
| 言語 | en | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Bayesian Model Averaging | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Instrumental variables | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Panel Data | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Empirics of Growth | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Effectiveness of Aid | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ | technical report | |||||||||
| ID登録 | ||||||||||
| ID登録 (DOI) | 10.24545/00001095 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
LEON-GONZALEZ, Roberto
× LEON-GONZALEZ, Roberto
× MONTOLIO, Daniel
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| 著者所属 | ||||||||||
| 値 | 政策研究大学院大学 / National Graduate Institute for Policy Studies | |||||||||
| 著者所属 | ||||||||||
| 値 | University of Barcelona; Barcelona Institute of Economics | |||||||||
| 分野 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | 経済学 / Economics | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Bayesian model averaging (BMA) has been successfully applied in the empirical growth literature as a way to overcome the sensitivity of results to different model specifications. In this paper, we develop a BMA technique to analyze models that differ in the set of instruments, exogeneity restrictions, or the set of controlling regressors. Our framework allows for both cross-section regressions with instrumental variables and for the commonly used panel data model with fixed effects and endogenous or predetermined regressors. The large model space that typically arises can be effectively analyzed using a Markov Chain Monte Carlo algorithm. We apply our technique to the dataset used by Burnside and Dollar (2000) who investigated the effect of international aid on GDP growth. We show that BMA is an effective tool for the analysis of panel data growth regressions in cases where the number of models is large and results are sensitive to model assumptions. | |||||||||
| 内容記述 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | JEL Classification Codes: O1, O2, O4, C30, C11 | |||||||||
| 発行年 | ||||||||||
| 値 | 2012-08 | |||||||||
| 書誌情報 |
en : GRIPS Discussion Papers Report No. DP12-08, 発行日 2012-08-28 |
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| 出版者 | ||||||||||
| 出版者 | GRIPS Policy Research Center | |||||||||
| 言語 | en | |||||||||
| 関連サイト | ||||||||||
| 関連タイプ | isIdenticalTo | |||||||||
| 識別子タイプ | URI | |||||||||
| 関連識別子 | https://ideas.repec.org/p/ngi/dpaper/12-08.html | |||||||||
| 関連名称 | https://ideas.repec.org/p/ngi/dpaper/12-08.html | |||||||||
| 著者情報 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | https://www.grips.ac.jp/list/jp/facultyinfo/leon_gonzalez_roberto/ | |||||||||
| 内容注記 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Revised to: October, 2015 [15-16] http://id.nii.ac.jp/1295/00001285/ | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
