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文章基本信息

  • 标题:Modelling optimal instrumental variables for dynamic panel data models
  • 本地全文:下载
  • 作者:Manuel Arellano
  • 期刊名称:CEMFI Working Papers / Centro de Estudios Monetarios y Financieros, Madrid
  • 出版年度:2003
  • 卷号:2003
  • 出版社:Centro de Estudios Monetarios y Financieros, Madrid
  • 摘要:

    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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