[amelia] Fraction of missingness question

Is there a cut-off for rate of missingness, past which we should employ other methods (i.e. Not Amelia 2)? Or does it depend on the diagnostic results? More specifically, if my imputations: a) don't give me error 34 (which says there is not enough data to do imputations properly) and; b) my diagnostics seem kosher (distributions of imputed/actual observations overlap nicely, there is convergence, etc.), can I relax about the rate of missingness in the original data? Simply: I got a time-series, cross-sectional dataset. 10 years, 50 countries. 6 independent vars. Of the 6, 3 have 65% missingness. Yet, these 3 independent vars with 65% missingness have significant relationships with the rest of the vars, and Amelia 2 was able to give me a decent-looking imputation. [I can offer the misschk results from Stata if necessary to answer this question.] Is there a cut-off in the fraction of missingness past which I must worry? Or Amelia would have already told me so? King also mentions that upping the imputations (to, say, 10) can help deal with higher rates of missingness. Something I should do just to make sure? You can also direct me to somewhere in the literature where you think this is specifically addressed. Thanks much. - Amelia mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia