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The Almon technique of parsimoneously estimating distributed lag coefficients by polynominal approximations can easily be applied in a cross-section context using Zellner's SUR estimator. The application is perfectly natural as in many cross-section time-series models the regression coefficients can be expected to change in a systematic way as, for example, the grouping variable changes. The evoluUon of such coefficients lends itself to polynominal aproximation. Two applications are given, a successful one based on age specific household formation equations and the second (unsuccessful) on Grunfeld's investment data.