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Modelling Optimal Instrumental Variables For Dynamic Panel Data Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Manuel Arellano () (CEMFI, Centro de Estudios Monetarios y Financieros)
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Two-step instrumental variable estimators for dynamic panel data models are considered that are asymptotically efficient under some auxiliary assumptions, but remain consistent when the assumptions are violated. Asymptotic efficiency is defined in relation to the information bound for the conditional mean specification of the model. Unlike in standard panel GMM, optimal instruments are parameterized using a fixed number of coefficients for any value of T. Thus, the properties of the resulting estimators are not fundamentally affected by the relative dimensions of T and N.
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Paper provided by CEMFI in its series Working Papers with number
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Date of creation: Jul 2003Date of revision:
Handle: RePEc:cmf:wpaper:wp2003_0310Contact details of provider: Postal: Casado del Alisal, 5, 28014 Madrid Phone: 914290551 Fax: 914291056 Email: Web page: http://www.cemfi.es/ More information through EDIRC
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Keywords: Dynamic panel data ; optimal instruments ; GMM ; double asymptotics ; cross-country growth ; Other versions of this item:
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
This paper has been announced in the following NEP Reports :
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Abel Elizalde & Rafael Repullo, 2004.
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"Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present ,"
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