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Some estimation methods for dynamic panel data models / Mohamed Reda Sobhi Abonazel ; Supervised Ahmed Hassen Youssef , Ahmed Amin El-sheikh

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Reda Sobhi Abonazel , 2014Description: 123 P. ; 30cmOther title:
  • بعض طرق التقدير لنماذج بيانات السلسلة القطاعية الديناميكية [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics Summary: In dynamic panel models, the generalized method of moments (GMM) has been used in many applications since it gives efficient estimators. This efficiency is affected by the choice of the initial weight matrix. It is common practice to use the inverse of the moment matrix of the instruments as an initial weight matrix. However, an initial optimal weight matrix is not known, especially in the system GMM estimation procedure. Therefore, we present the optimal weight matrix for level GMM estimator, and suboptimal weight matrices for system GMM estimator, and use these matrices to increase the efficiency of GMM estimator. Using the Kantorovich inequality (KI), we find that the potential efficiency gain becomes large when the variance of individual effects increases compared to the variance of the errors
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.Ph.D.2014.Mo.S (Browse shelf(Opens below)) Not for loan 01010110064964000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.Ph.D.2014.Mo.S (Browse shelf(Opens below)) 64964.CD Not for loan 01020110064964000

Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics

In dynamic panel models, the generalized method of moments (GMM) has been used in many applications since it gives efficient estimators. This efficiency is affected by the choice of the initial weight matrix. It is common practice to use the inverse of the moment matrix of the instruments as an initial weight matrix. However, an initial optimal weight matrix is not known, especially in the system GMM estimation procedure. Therefore, we present the optimal weight matrix for level GMM estimator, and suboptimal weight matrices for system GMM estimator, and use these matrices to increase the efficiency of GMM estimator. Using the Kantorovich inequality (KI), we find that the potential efficiency gain becomes large when the variance of individual effects increases compared to the variance of the errors

Issued also as CD

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