Hello,

I wish to test for spatial correlation in the residuals from an unbalanced
panel data framework with fixed effects. In this regard, I have read the
recent paper by Michael Pfaffermayr titled "The Cliff and Ord Test for
spatial correlation of the disturbances in Unbalanced Panel models". I wish
to know if this test is implementable in R. Since this paper concludes that
the missing observations can be ignored if they are assumed to be random.
The spatial weighting matrix, however, needs to adjusted where all rows and
columns are skipped that refer to missing data. So will traditional LM
tests go through?  Any other testing procedures would be welcome.

Thanks,
Ridhima

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