Turning to Table 8 we see that all of the variables are statistically significant at the .001 level. Though what is troubling is that the insurance variables, all of the industry variables, and race are not negative as was initially predicted. Table 7: Non-Profit Wages Predictiveness R2 Adjusted R2 Durbin-Watson 0.404 0.404 1.972 Table 8: Non-Profit Wages Standard Significant at Variable Mean Deviation Coefficient level VIF NP Wages 14108.8145 33754.11855 Age 44.64 14.829 68.063 0.001 1.027 Insurance .72 .448 4125.61 0.001 1.093 Race .24 .429 743.558 0.001 1.034 Ed 18.89 2.977 1319.29 0.001 1.107 Sex .77 .419 -7910.485 0.001 1.051 NP Art .088 .09342 24000.084 0.001 1.009 NP Childcare .0286 .16673 15755.395 0.001 1.02 NP Community Service .0069 .08269 22106.665 0.001 1.006 NP Hospitals .1665 .37256 51854.385 0.001 1.114 NP Individual Service .0433 .20362 25911.583 0.001 1.028 NP Nursing .0255 .15762 28884.931 0.001 1.016 NP Publishing .0016 .03985 39836.949 0.001 1.002 NP Religious .0931 .20062 19516.108 0.001 1.119 We can see from table 8 that the Durbin-Watson statistic is 1.972, which signals no autocorrelation. Similarly, the check for multicollinearity shows from the VIF column on table 7 that none of the variables are exhibiting multicollinearity.
Turning to Table 8 we see that all of the variables are statistically significant at the .001 level. Though what is troubling is that the insurance variables, all of the industry variables, and race are not negative as was initially predicted. Table 7: Non-Profit Wages Predictiveness R2 Adjusted R2 Durbin-Watson 0.404 0.404 1.972 Table 8: Non-Profit Wages Variable Mean Standard Deviation Coefficient Significant at level VIF NP Wages 14108.8145 33754.11855 Age 44.64 14.829 68.063 0.001 1.027 Insurance .72 .448 4125.61 0.001 1.093 Race .24 .429 743.558 0.001 1.034 Ed 18.89 2.977 1319.29 0.001 1.107 Sex .77 .419 -7910.485 0.001 1.051 NP Art .088 .09342 24000.084 0.001 1.009 NP Childcare .0286 .16673 15755.395 0.001 1.02 NP Community Service .0069 .08269 22106.665 0.001 1.006 NP Hospitals .1665 .37256 51854.385 0.001 1.114 NP Individual Service .0433 .20362 25911.583 0.001 1.028 NP Nursing .0255 .15762 28884.931 0.001 1.016 NP Publishing .0016 .03985 39836.949 0.001 1.002 NP Religious .0931 .20062 19516.108 0.001 1.119 We can see from table 8 that the Durbin-Watson statistic is 1.972, which signals no autocorrelation. Similarly, the check for multicollinearity shows from the VIF column on table 7 that none of the variables are exhibiting multicollinearity.
1359_FreidmanWhattheDifferenceWageDifferentialsandtheDonativeLaborHypothesisinNonProfitFirms.docx