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Show by both men and women. Since significant changes in such rates have been occurring nationally, and are expected to continue in future years, v5^ and since the characteristics of the labor force in the Wasatch Front may be expected to become more like those of the nation as a whole over the years ( through inmigration and ordinary cultural change), it was valid to question this assumption of constant LFPR in the UPED model. Williams and Mocine asked the BEBR staff if runs of the model could be made under an assumption that LFPR would reach national levels gradually by 1985 in order to test the effects of dynamic LFPR. Test runs were made, for technical reason of programming, of the changes in the demographic projections for the Weber Valley counties ( Salt Lake, Weber, Morgan, Davis and Summit), taken as a regional unit, rather than of the Wasatch Front counties. Hence, the population projections under changing ( dynamic) LFPR assumptions are given in the present context for the purpose of an illustrative sensitivity test only. Table 7 shows the effect of holding projected population constant, in order to determine the effect of dynamic LFPR on the other variables. Table 8 shows the effect of holding projected total jobs constant, mainly to measure the effects on future levels of inmigration. Under assumptions of the old and new LFPR the differences within each of the tables may be seen to be negligible. The differences which do occur in the dependent variables, under the two target assumptions, are probably well within the level of error of forecast. Noticeable differences do occur between Tables 7 and 8 however, but these are based almost entirely upon the original choice of " targets," population or jobs, and not upon the differences in LFPR assumptions. Are there any differences then to be noted from varying the LFPR assumptions? The answer is yes, differences occur in the male/ female composition of the labor force. Tables 9 and 10 illustrate this point. 18 |