EFFICIENT METHOD OF MOMENTS IN MISSPECIFIED I.I.D. MODELS
误设独立同分布模型中的有效矩估计法
The paper presents the asymptotic theory of the efficient method of moments when the model of interest is not correctly specified. The paper assumes a sequence of independent and identically distributed observations and a global misspecification. It is found that the limiting distribution of the estimator is still asymptotically normal, but it suffers a strong impact in the covariance matrix. A consistent estimator of this covariance matrix is provided. The large sample…