The importance of measurement error for parameter estimation and for the design of statistical studies, particularly sample surveys, is examined. Beginning with a brief review of Hansen's contributions, the discussion concentrates on estimation problems in which measurement error leads to bias in the usual estimators. Estimation of distribution functions and regression equations are discussed, and the implications for the design of surveys are presented.