When there's an empty (zero-frequency) table cell, the Rao-Scott chi-square can't be computed because some quantities are undefined/missing. Here's one possible work-around, if you want to use zero as the standard error for the missing cell(s).
1) Construct a data set that contains one observation for each empty table cell, and assign a small weight (relative to the real survey weights) to each of these observations -- e.g., 1e-8. 2) Merge that data set with the analysis dataset. Because of the very small weights, the additional observations should not affect the estimates of proportions and totals. But all table cells will have positive frequency and SURVEYFREQ will compute the Rao-Scott chi-square test.
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