Concept
The Generalized Method of Moments (GMM) is a statistical estimation technique that uses sample moments to estimate the parameters of a model, providing a flexible framework that can accommodate a wide range of economic models and data structures. GMM is particularly useful when the model is overidentified, meaning there are more moment conditions than parameters to estimate, allowing for robust inference even with potential model misspecification or heteroskedasticity in the data.
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