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Abstract

The National Agricultural Statistics Service (NASS) conducts a census of agriculture every five years. A major focus after the 2002 Census was to improve the speed and efficiency of the edit and imputation system for the 2007 Census. The imputation routine developed for 2007 achieved the speed goals set forth during the 2007 Census planning phase, but no effort was made to benchmark the new procedure against other SAS search techniques. This study compared the search method used in the 2007 Census of Agriculture imputation routine with five alternative SAS techniques for finding a record in a SAS dataset. The results showed that the temporary array technique used in the 2007 Census had the fastest response times with the least variation among the techniques tested.

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