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Inferential Statisticshard
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In the context of M-estimation with the estimator defined by the estimating equation ∑i=1nψ(Xi,θ^)=0\sum_{i=1}^{n} \psi(X_i, \hat{\theta}) = 0∑i=1n​ψ(Xi​,θ^)=0, what does the 'sandwich' covariance matrix V^=1nA−1BA−1\hat{V} = \frac{1}{n} A^{-1} B A^{-1}V^=n1​A−1BA−1 account for when the model is misspecified?