Hi,
I am calculating GINI Coefficients for different states based on two time periods. I have created a new which groups these two together. Based on that I have calculated Gini Coefficients running the ineqdeco command. However, I want to create a column based on the obtained Gini Coefficients. I have tried to follow the instructions mentioned in some posts but could not replicate them.
My codes (don't know if I have done it correctly or not) and the Gini Coefficient table are:
I am calculating GINI Coefficients for different states based on two time periods. I have created a new which groups these two together. Based on that I have calculated Gini Coefficients running the ineqdeco command. However, I want to create a column based on the obtained Gini Coefficients. I have tried to follow the instructions mentioned in some posts but could not replicate them.
My codes (don't know if I have done it correctly or not) and the Gini Coefficient table are:
Code:
grouplabs SURVEY STATEID, groupvar(group) val cap gen gini = . levels group, local(levels) foreach i of local levels { ineqdeco log_head_wage [weight=FWT] if group == `i' replace gini = $S_gini if group == `i' } Subgroup indices: GE_k(a) and Gini_k ------------------------------------------------------------------------------------------ group(SURVEY STATEID) | GE(-1) GE(0) GE(1) GE(2) Gini ------------------------------+----------------------------------------------------------- IHDS1 1 Jammu & Kashmir 01 | 0.03545 0.02749 0.02391 0.02236 0.11584 IHDS1 1 Himachal Pradesh 02 | 0.01756 0.01792 0.01862 0.01969 0.10449 IHDS1 1 Punjab 03 | 0.01742 0.01740 0.01780 0.01858 0.10276 IHDS1 1 Chandigarh 04 | 0.02410 0.02337 0.02304 0.02307 0.12156 IHDS1 1 Uttarakhand 05 | 0.01177 0.01176 0.01196 0.01237 0.08368 IHDS1 1 Haryana 06 | 0.01195 0.01209 0.01242 0.01293 0.08527 IHDS1 1 Delhi 07 | 0.01349 0.01301 0.01273 0.01263 0.08954 IHDS1 1 Rajasthan 08 | 0.02209 0.02182 0.02210 0.02293 0.11615 IHDS1 1 Uttar Pradesh 09 | 0.04307 0.02429 0.02289 0.02375 0.11401 IHDS1 1 Bihar 10 | 0.02384 0.02221 0.02188 0.02258 0.10506 IHDS1 1 Sikkim 11 | 0.00790 0.00776 0.00767 0.00763 0.07031 IHDS1 1 Arunachal Pradesh 12 | 0.04480 0.03151 0.02437 0.02029 0.10047 IHDS1 1 Nagaland 13 | 0.02101 0.02002 0.01944 0.01921 0.10853 IHDS1 1 Manipur 14 | 0.01998 0.02020 0.02069 0.02147 0.11366 IHDS1 1 Mizoram 15 | 0.00265 0.00265 0.00266 0.00268 0.04145 IHDS1 1 Tripura 16 | 0.01843 0.01866 0.01935 0.02061 0.10451 IHDS1 1 Meghalaya 17 | 0.03203 0.03161 0.03195 0.03310 0.14194 IHDS1 1 Assam 18 | 0.03366 0.03085 0.03008 0.03042 0.13741 IHDS1 1 West Bengal 19 | 0.02979 0.02966 0.03103 0.03354 0.13242 IHDS1 1 Jharkhand 20 | 0.02703 0.02823 0.03023 0.03320 0.13020 IHDS1 1 Orissa 21 | 0.04431 0.02976 0.02830 0.02931 0.12572 IHDS1 1 Chhattisgarh 22 | 0.04232 0.04348 0.04647 0.05163 0.16443 IHDS1 1 Madhya Pradesh 23 | 0.03796 0.03060 0.03070 0.03295 0.12938 IHDS1 1 Gujarat 24 | 0.03446 0.03399 0.03444 0.03583 0.14805 IHDS1 1 Daman & Diu 25 | 0.02021 0.01905 0.01824 0.01772 0.10656 IHDS1 1 Dadra+Nagar Haveli 26 | 0.01937 0.01956 0.02005 0.02089 0.11244 IHDS1 1 Maharashtra 27 | 0.03295 0.03168 0.03163 0.03240 0.14199 IHDS1 1 Andhra Pradesh 28 | 0.02370 0.02286 0.02285 0.02356 0.11637 IHDS1 1 Karnataka 29 | 0.04350 0.03544 0.03418 0.03519 0.14392 IHDS1 1 Goa 30 | 0.01622 0.01473 0.01367 0.01293 0.08793 IHDS1 1 Kerala 32 | 0.01088 0.01031 0.01000 0.00988 0.07511 IHDS1 1 Tamil Nadu 33 | 0.01913 0.01903 0.01933 0.02004 0.10877 IHDS1 1 Pondicherry 34 | 0.01547 0.01541 0.01557 0.01596 0.09802 IHDS2 2 Jammu & Kashmir 01 | 0.06660 0.03713 0.02726 0.02327 0.11367 IHDS2 2 Himachal Pradesh 02 | 0.01888 0.01835 0.01833 0.01876 0.10511 IHDS2 2 Punjab 03 | 0.02057 0.01795 0.01706 0.01709 0.09390 IHDS2 2 Chandigarh 04 | 0.02337 0.02419 0.02535 0.02692 0.12014 IHDS2 2 Uttarakhand 05 | 0.03201 0.01990 0.01594 0.01466 0.08292 IHDS2 2 Haryana 06 | 0.01769 0.01670 0.01634 0.01648 0.09467 IHDS2 2 Delhi 07 | 0.03335 0.02498 0.02226 0.02143 0.11558 IHDS2 2 Rajasthan 08 | 0.02335 0.02247 0.02233 0.02282 0.11532 IHDS2 2 Uttar Pradesh 09 | 0.03502 0.02829 0.02638 0.02645 0.12127 IHDS2 2 Bihar 10 | 0.01525 0.01412 0.01372 0.01384 0.08614 IHDS2 2 Sikkim 11 | 0.02823 0.02675 0.02573 0.02509 0.12542 IHDS2 2 Arunachal Pradesh 12 | 0.03346 0.02971 0.02703 0.02514 0.12354 IHDS2 2 Nagaland 13 | 0.02946 0.03168 0.03462 0.03849 0.12507 IHDS2 2 Manipur 14 | 0.03443 0.03211 0.03068 0.03000 0.13942 IHDS2 2 Mizoram 15 | 0.02843 0.02673 0.02559 0.02493 0.12750 IHDS2 2 Tripura 16 | 0.03086 0.02361 0.02020 0.01867 0.09964 IHDS2 2 Meghalaya 17 | 0.01790 0.01776 0.01785 0.01817 0.10673 IHDS2 2 Assam 18 | 0.02356 0.02287 0.02307 0.02393 0.11723 IHDS2 2 West Bengal 19 | 0.02437 0.02391 0.02462 0.02630 0.11595 IHDS2 2 Jharkhand 20 | 0.02265 0.02264 0.02324 0.02452 0.11312 IHDS2 2 Orissa 21 | 0.01494 0.01542 0.01628 0.01759 0.09359 IHDS2 2 Chhattisgarh 22 | 0.05553 0.04169 0.03949 0.04150 0.14384 IHDS2 2 Madhya Pradesh 23 | 0.03001 0.02287 0.02126 0.02151 0.10503 IHDS2 2 Gujarat 24 | 0.03368 0.03176 0.03124 0.03181 0.13914 IHDS2 2 Daman & Diu 25 | 0.00893 0.00916 0.00947 0.00987 0.07506 IHDS2 2 Dadra+Nagar Haveli 26 | 0.01598 0.01612 0.01647 0.01703 0.10116 IHDS2 2 Maharashtra 27 | 0.04005 0.02962 0.02661 0.02566 0.12754 IHDS2 2 Andhra Pradesh 28 | 0.01137 0.01089 0.01074 0.01085 0.07754 IHDS2 2 Karnataka 29 | 0.06730 0.02769 0.02294 0.02207 0.11184 IHDS2 2 Goa 30 | 0.00838 0.00812 0.00794 0.00781 0.07061 IHDS2 2 Kerala 32 | 0.02483 0.01510 0.01230 0.01114 0.07609 IHDS2 2 Tamil Nadu 33 | 0.01840 0.01574 0.01440 0.01374 0.08911 IHDS2 2 Pondicherry 34 | 0.01355 0.01293 0.01250 0.01221 0.08775 ------------------------------------------------------------------------------------------
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