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Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present
http://hdl.handle.net/10086/13689
http://hdl.handle.net/10086/13689e94be8cd-6cb8-420b-8206-080824a6e06e
| 名前 / ファイル | ライセンス | アクション |
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D05-130.pdf (336074 bytes)
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| アイテムタイプ | デフォルトアイテムタイプ（フル）その２(1) | |||||||||||
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| 公開日 | 2017-05-20 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present | |||||||||||
| 言語 | en | |||||||||||
| 作成者 |
早川, 和彦
× 早川, 和彦
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| 寄与者 | ||||||||||||
| 寄与者タイプ | Editor | |||||||||||
| 姓名 | 社会科学における統計分析拠点構築 = Research Unit for Statistical Analysis in Social Sciences | |||||||||||
| 言語 | en | |||||||||||
| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Dynamic panel data | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | many instruments | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | generalized method of moments estimator | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | unobservable large heterogeneity | |||||||||||
| 内容記述 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | This paper addresses the many instruments problem, i.e. (1) the trade-off between the bias and the efficiency of the GMM estimator, and (2) inaccuracy of inference, in dynamic panel data models where unobservable heterogeneity may be large. We find that if we use all the instruments in levels, although the GMM estimator is robust to large heterogeneity, inference is inaccurate. In contrast, if we use the minimum number of instruments in levels in the sense that we use only one instrument for each period, the performance of the GMM estimator is heavily affected by the degree of heterogeneity, that is, both the asymptotic bias and the variance are proportional to the magnitude of heterogeneity. To address this problem, we propose a new form of instruments that are obtained from the so-called backward orthogonal deviation transformation. The asymptotic analysis shows that the GMM estimator with the minimum number of new instruments has smaller asymptotic bias than the estimators typically used such as the GMM estimator with all instruments in levels, the LIML estimators and the within-groups estimators, while the asymptotic variance of the proposed estimator is equal to the lower bound. Thus both the asymptotic bias and the variance of the proposed estimators become small simultaneously. Simulation results show that our new GMM estimator outperforms the conventional GMM estimator with all instruments in levels in term of the RMSE and in terms of accuracy of inference. An empirical application with Spanish firm data is also provided. | |||||||||||
| 言語 | en | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Institute of Economic Research, Hitotsubashi University | |||||||||||
| 日付 | ||||||||||||
| 日付 | 2006-01 | |||||||||||
| 日付タイプ | Issued | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||||||
| 資源タイプ | technical report | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| 関連情報 | ||||||||||||
| 関連タイプ | isPartOf | |||||||||||
| 関連名称 | Hi-Stat Discussion paper series ; No. d05-130 | |||||||||||
| 関連情報 | ||||||||||||
| 識別子タイプ | URI | |||||||||||
| 関連識別子 | http://21coe.ier.hit-u.ac.jp/english/index.html | |||||||||||
| ページ数 | ||||||||||||
| ページ数 | 49 | |||||||||||
| Sponsorship | ||||||||||||
| 値 | 21世紀COEプログラム = 21st-Century COE Program | |||||||||||
| JEL | ||||||||||||
| 値 | C23 | |||||||||||
