Hi. I have about 60,000 records for children in 12 states. Some children have multiple records. Some of just one record. I have a binary dependent variable. I am trying to estimate a model that takes into account the fact that the records for the same child are correlated and that children are nested within states. I know how to estimate models with GEE to deal with the correlation but am not sure how to deal with the nesting. The data look like this. State Child X Y 1 1 1 1 1 1 0 1 1 2 1 1 1 2 1 0 1 2 0 0 1 2 0 0 2 3 0 1 2 3 0 1 2 3 1 1 2 3 0 0 2 3 0 1 2 4 1 0 2 4 0 1 2 4 1 0 3 5 1 0 3 6 0 0 3 7 0 0 3 7 0 1 3 7 1 1 3 7 1 0
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