Impact of Aggregation on the Estimation of Outdoor Recreation Demand Functions

Abstract

Abstract This research indicates that aggregating data tends to cause multicollinearity and difficulty in estimating the parameters of recreation demand functions. Gains in efficiency of estimation of several hundred percent could often be obtained by using individual observations, rather than the traditional zone averages, as illustrated with an empirical example.