We address the issue of estimation and inference in dependent nonstationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators.SUR estimators perform badly, or are even unfeasible, when the time dimension is not very large compared to the cross-section dimension.
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