Comparison of GEIS and SPEER for Editing Economic Data

Written by:
RR2000-04

Abstract

Two computer systems are currently available for editing continuous, economic data: Statistics Canada’s General Edit and Imputation System (GEIS) and the Census Bureau’s Structured Programs for Economic Editing and Referrals (SPEER). GEIS, the more general of the two systems, uses linear inequality edits and provides several imputation options. SPEER uses ratio edits which are a special case of linear inequality edits and provides only one imputation option. The main algorithm of GEIS is a relatively fast extension of Chernikova’s algorithm for finding extreme points in n-dimensional space. SPEER edits are exceedingly fast because they do not involve advanced integer programming algorithms. The methods of the two systems are described and an empirical comparison is provided.

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