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. Author manuscript; available in PMC: 2014 Nov 7.
Published in final edited form as: Spat Demogr. 2013;1(1):17–40. doi: 10.1007/bf03354885

Table 3.

GWPR Model III and non-stationarity test results (N=3,071)

Variables Min Q1 Median Q3 Max Global S.E. Status
Intercept −1.302 −0.974 −0.781 −0.708 −0.583 0.068 Non-Stationary
Low birth weight rate 0.006 0.007 0.007 0.008 0.011 0.001 Stationary
Marriage postponement −0.005 −0.001 0.000 0.002 0.004 0.001 Non-Stationary
Cohabitation −0.012 −0.004 0.007 0.020 0.035 0.008 Non-Stationary
Divorce −0.002 0.008 0.015 0.019 0.030 0.005 Non-Stationary
% Non-Hispanic Black 0.002 0.003 0.005 0.006 0.011 0.001 Non-Stationary
% Hispanic −0.008 −0.005 −0.004 −0.003 −0.001 0.001 Stationary
% Other races −0.009 −0.003 0.002 0.004 0.008 0.001 Non-Stationary
Affluence −0.085 −0.067 −0.056 −0.044 −0.030 0.011 Non-Stationary
Disadvantage −0.042 −0.025 −0.015 −0.004 0.051 0.013 Stationary
Stability −0.050 −0.031 −0.022 −0.013 0.007 0.008 Non-Stationary
Late or no prenatal care 0.000 0.002 0.005 0.007 0.010 0.001 Non-Stationary

For an independent variable, when the interquartile range (Q3-Q1) of the local estimates is at least twice greater than the standard error of the global estimate (Global S.E.), the non-staionarity is found.