Hello All
I am trying to work on gender differentials and urban-rural differentials.
I have used mvdcmp for the decomposition analysis as my outcome variable is binary.
I am having problem with the interpretation of the results.

Can anyone please help me out with the same?

Glimpse of my output is :
Coeff (95% CI) Percentage
E 0.042***(0.0379, 0.047) 35.2810
C 0.078***(0.071, 0.0848) 64.7190
R 0.12***(0.1143, 0.1264)
Due to Difference in Characteristics
Body Mass Index 0.021***(0.0185, 0.0236) 17.4960
Age -0.003***(-0.0033, -0.0027) -2.4857
Education 0.011***(0.0069, 0.0144) 8.8424
Due to Difference in Coefficients
Body Mass Index -0.005***(-0.0072, -0.0032) -4.3464
Age 0.007 (-0.0045, 0.0189) 5.9450
Education -0.013***(-0.0163, -0.0089) -10.4600

From the paper on the same topic in the STATA journal I could understand that the differences in the effects accounts for 64.71% of the observed rural-urban differentials in the prevalence of diabetes. I have used same wording from the mvdcmp paper in the STATA journal because I don' understand it properly.
And how do I interpret E and R here? How can I interpret the coefficients in the tables below?

Looking forward for your help.

Thanks in Advance.