Hello,

I conducted logit regressions using eststo for three different countries and then put the results together in a nice format using eststab. The problem is that when I get odds ratios lower than 1, which are denoted using dot instead of zero dot (for example .7 instead of 0.7). eststab is not only changing this to minus sign but also it displays different odds ratio.

In the example below, you can see it if you run the following commands:

Code:
eststo: quietly logit achieved_all  i.rural i.not_poor i.Bicycle i.Motor_cycle i.car_all_type  inc_cap_oecd_doll indirect clean_fuels tot_resid_fuels share_dirty_fuels F2 F8 F7 F9  F11 if country_id==1, or
esttab,pr2  scalars (chi2)  drop(   0.rural  0.not_poor 0.Bicycle 0.Motor_cycle 0.car_all_type ) wide compress
Does anyone know how to fix it? I need eststab to be able to export the results in a nice looking format to excel, but I want these results to be correct.

Thank you for your help,

Cheers,

Marta

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(country_id achieved_all rural not_poor Bicycle Motor_cycle car_all_type inc_cap_oecd_doll indirect clean_fuels tot_resid_fuels share_dirty_fuels F2 F8 F7 F9 F11)
1 0 1 0 0 0 0  757.9745  1.818205 1.3209975 1.3209975 0        0  .7429588  1.0246736 1.1186874   1.0292457
1 0 1 1 1 0 0 2673.8345 1.4272217 1.8167483 1.8167483 0        0  .7429588   .2917905  .9167902    .1812828
1 1 0 1 1 0 0  991.9992  5.540638  2.540866  2.540866 0        0  .7429588  1.0246736 1.1186874    .1787506
1 1 0 1 1 1 0         0     5.508  2.800494  2.800494 0 .9923012  .7429588  1.0427761 1.1186874   1.0267136
1 1 0 1 0 0 0 1706.7218 3.9105165  6.034572  6.034572 0        0  .5373792  1.0246736 1.1186874   1.0267136
1 1 0 0 0 1 0   3462.32  4.135731   3.46402   3.46402 0 .4961506  .7429588  1.0427761 1.1186874    .1787506
1 1 0 1 0 1 0 2483.2886 10.465042 3.6580694 3.6580694 0 .4961506  .7429588   .9914134 1.1186874    .1787506
1 1 0 1 0 0 0 1280.9094  2.086266 1.8023653 1.8023653 0        0  .5373792  1.0246736 1.1186874    .1812828
1 1 0 1 1 1 0 4134.4067   8.81647  3.972038  3.972038 0 .9923012  .7429588  1.0427761 1.1186874    .1787506
1 1 0 1 0 0 0 1358.3536  3.374758 1.0038222 1.0038222 0        0  .7429588   .9914134 1.1186874    .1787506
1 1 0 0 0 1 0  1490.486  6.854953  4.976077  4.976077 0 .4961506  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 1 0 0 0 1089.1621 4.0606194  7.891852  7.891852 0        0  .7429588  1.0427761 1.1186874    .1787506
1 0 1 0 1 0 0  574.3931 1.6343614  .3921904  .3921904 0        0  .5373792          0 .10576556           0
1 0 1 1 1 0 0 139.79893  .7215557 2.3682427 2.3682427 0        0 .20557962  1.0246736  .5258843    .1787506
1 0 1 0 1 0 0  276.6452  .7938556 .10501961 .10501961 0        0  .5373792 .018102502  .3873815    .1812828
1 0 0 1 1 1 0  8215.799  3.288267  2.196237  2.196237 0 .4961506  .7429588  1.0246736 1.1186874    .1787506
1 0 0 1 0 0 0  23319.09 18.159407  2.623492  2.623492 0        0  .9305042  1.0246736 1.1186874   1.0267136
1 1 0 1 0 1 0 3734.9194  8.443437 4.6054773 4.6054773 0 .4961506  .7429588  1.0427761 1.1186874    .1787506
1 0 0 1 0 1 0  6255.727  8.710135  3.639527  3.639527 0        0  .7429588  1.0246736  .9167902   1.0267136
1 0 0 1 0 0 0  1375.408 2.4173565   1.29989   1.29989 0        0  .7429588  1.0246736 1.1186874    .1812828
1 0 1 1 1 1 0  6045.034  6.661806 1.5452955 1.5452955 0 .4961506 1.1360838  1.0246736  .9167902    .1812828
1 0 1 0 0 0 0 546.68915   .623929 .03063987 .03063987 0        0         0          0  .5258843    .1787506
1 0 0 1 1 0 0 2222.9133 1.0951575  .3325109  .3325109 0        0  .7429588  1.0246736 1.1186874    .1787506
1 0 0 0 0 0 0   750.361  8.661407 2.1615949 2.1615949 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 0 0 1 0  501.7462 2.0649343  2.773471  2.773471 0 .4961506  .7429588  1.0246736 1.1186874    .1787506
1 0 1 0 1 0 0  289.3862  .4500268 .13277277 .13277277 0        0  .5373792          0  .7277814 -.002532199
1 1 0 1 1 1 1  7724.405  5.886311  2.737499  2.737499 0 .9923012  .7429588   .9914134 1.1186874   1.0267136
1 1 0 1 1 0 0  521.1075  8.950868 4.2190456 4.2190456 0        0  .7429588  1.0246736 1.1186874    .1812828
1 0 0 0 0 0 0  380.3408 2.1151793  1.886821  1.886821 0        0  .7429588  1.0246736  .9167902   1.0267136
1 0 1 0 1 0 0 272.80994  12.74034 3.6933355 3.6933355 0        0  .7429588  .24042773  .5258843    .1787506
1 0 1 1 1 1 0  738.4012  .8541672 .13288856 .13288856 0        0  .7429588  .06946525  .4151386    .1787506
1 1 0 1 0 0 0  2456.785 2.4539504 3.6827474 3.6827474 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 1 1 1 1 0 0 378.91965 1.8898576 1.7207745 1.7207745 0 .4961506  .7429588  1.0427761 1.1186874    .1787506
1 0 0 1 0 1 0 2846.7114 2.0611656 4.4000807 4.4000807 0 .4961506 1.1360838  1.0427761 1.1186874   1.0267136
1 0 1 1 0 1 0  2250.412  5.783936 1.6091415 1.6091415 0        0  .7429588  1.0427761  .9167902    .1812828
1 1 0 1 0 0 0  1278.676  2.058258 2.0978172 2.0978172 0 .4961506  .7429588  1.0246736 1.1186874   1.0267136
1 1 0 1 0 1 0  51.34093 1.5561166  3.349987  3.349987 0 .9923012  .7429588  1.0427761 1.1186874    .1812828
1 0 1 1 0 0 0  476.5765  2.985764 1.2590555 1.2590555 0        0  .5373792  1.0427761 1.1186874           0
1 0 0 1 0 0 0 1908.5078 10.664527  4.489582  4.489582 0 .4961506  .7429588  1.0246736 1.1186874   1.0267136
1 0 1 1 1 0 0  815.5109  .8282692   .140068   .140068 0        0  .5373792          0 .27663592    .1787506
1 0 1 0 0 0 0   41.9593 .49353355 .26947635 .26947635 0        0         0  .05136275  .2442683    .1787506
1 0 1 1 0 0 0  479.6558  3.404394  2.752832  2.752832 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 1 0 0 0  886.7067  3.116522 2.4641626 2.4641626 0        0 1.1360838  1.0246736 1.1186874   1.0267136
1 0 1 1 0 0 0 428.92395  2.911554  .1823392  .1823392 0        0  .5373792  .05136275  .3873815    .1787506
1 1 0 1 1 0 0  1235.829  2.055065   .628662   .628662 0        0  .7429588   .9914134 1.1186874   1.0292457
1 1 0 1 1 1 0  2643.436  2.485381 1.9447215 1.9447215 0        0  .7429588  1.0246736 1.1186874    .1812828
1 0 0 1 0 0 0  967.5109 1.8017677  2.411617  2.411617 0        0  .5373792   .9733109 1.1186874   1.0267136
1 0 1 1 1 0 0  784.4089  1.990735 .05106645 .05106645 0        0  .7429588 .018102502  .4151386    .1787506
1 0 0 0 0 0 0  613.3909 2.0426724 2.2747047 2.2747047 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 0 0 0 0  2751.211   2.99116 3.8082156 3.8082156 0 .4961506  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 1 0 0 0  14484.42 2.1035259 1.9708703 1.9708703 0        0  .7429588   .9914134  .9167902   1.0267136
1 0 0 1 0 1 0 1591.8506 3.1408675  3.718132  3.718132 0 .4961506  .7429588  1.0246736 1.1186874    .1787506
1 1 0 1 0 0 0 2803.3215  5.308203 1.9413234 1.9413234 0        0  .5373792  1.0246736 1.1186874   1.0267136
1 0 0 1 0 1 0  2860.043  4.305994 2.0286179 2.0286179 0        0  .7429588  .24042773 1.1186874    .1787506
1 0 0 1 0 1 0  893.7509  4.813969  1.370874  1.370874 0 .4961506  .7429588  1.0427761 1.1186874   1.0267136
1 0 0 1 0 0 0  1474.343 2.0205126 1.6385516 1.6385516 0        0  .7429588   .9733109 1.1186874   1.0267136
1 1 0 1 0 0 0  2623.758  3.017717  3.140761  3.140761 0        0  .7429588  1.0427761 1.1186874   1.0292457
1 0 1 0 0 0 0  685.8723  4.924563  3.944714  3.944714 0        0  .7429588   .9914134  .5258843    .1812828
1 0 0 0 0 1 1  1841.878  43.23208 4.3874226 4.3874226 0 .4961506  .7429588  1.0246736 1.1186874    .1787506
1 0 0 0 0 0 0 1524.4933   8.48151  6.750727  6.750727 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 1 0 0 1 0 0  1881.155 2.0411909 2.2448184 2.2448184 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 1 1 1 0 0 14438.918  6.117969  2.534173  2.534173 0        0  .7429588  1.0427761  .9167902    .1812828
1 0 0 1 0 0 0 1600.8265 15.319732 1.9584242 1.9584242 0        0  .5373792  1.0427761 1.1186874   1.0267136
1 0 0 1 1 0 0 1370.4452  4.357891  3.068029  3.068029 0        0  .7429588   .9733109 1.1186874    .1787506
1 0 0 0 0 1 0  901.9169 4.3425703   .925101   .925101 0        0  .7429588  1.0246736 1.1186874    .1787506
1 0 1 0 1 0 0  772.8143  .6059626  .4289582  .4289582 0        0         0          0  .7277814           0
1 0 0 1 0 0 0  2476.276    3.9078 1.7750047 1.7750047 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 0 0 0 0 0  656.4601  .9557348 2.0507808 2.0507808 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 1 1 1 1 0  7146.722  7.156996 2.5807204 2.5807204 0        0  .7429588   .7509856 1.1186874    .1812828
1 0 0 0 0 0 0  8356.845 1.3894944   2.42955   2.42955 0        0  .7429588  1.0427761  .9167902    .1787506
1 1 0 1 0 0 0  2722.076 10.581377  6.614033  6.614033 0 .4961506  .7429588   .9914134 1.1186874   1.0267136
1 1 0 1 0 1 0 2003.3496 14.024404  2.992872  2.992872 0 .4961506  .5373792  1.0427761 1.1186874    .1812828
1 1 0 1 0 0 0  2455.269   2.03014   1.74597   1.74597 0        0  .7429588  1.0246736  .9167902   1.0267136
1 1 0 0 1 0 0  4003.053  6.668846  3.325474  3.325474 0        0  .7429588  1.0427761 1.1186874   1.0267136
1 1 0 1 0 0 0  2817.865   8.70369 2.3510478 2.3510478 0        0  .7429588  1.0246736 1.1186874   1.0267136
1 0 1 1 1 0 0  224.4214  .8666341 .09191962 .09191962 0        0  .5373792 .018102502  .5258843 -.002532199
1 0 0 1 0 0 0  1796.755  3.286916 2.2554588 2.2554588 0 .4961506  .7429588   .9733109 1.1186874   1.0267136
1 0 0 1 0 0 0 246.34174  .8734494   .694689   .694689 0        0         0   .9733109 1.1186874   1.0292457
1 1 0 1 0 0 0  1664.386  4.675694  2.916072  2.916072 0        0  .9305042  1.0246736 1.1186874   1.0267136
1 0 1 1 1 0 0 140.60735 1.1907806 .12255949 .12255949 0        0         0  .06946525  .5258843 -.002532199
1 0 0 1 0 1 0 3151.4595 1.5809453  3.140761  3.140761 0 .9923012  .7429588  1.0246736 1.1186874    .1787506
1 0 1 1 1 1 0 1057.8483 3.7813365  .6355289  .6355289 0        0  .7429588   .9733109  .9167902   1.0267136
1 1 0 1 0 0 0  1705.443 4.1641617  2.448053  2.448053 0        0  .7429588   .9733109 1.1186874    .1787506
1 0 0 1 1 0 0  1724.392  2.340013 3.7173524 3.7173524 0        0  .7429588  1.0427761 1.1186874    .1787506
1 1 0 1 1 1 1   9518.36  9.579969  6.614033  6.614033 0 .9923012  .7429588  1.0427761 1.1186874   1.0267136
1 0 0 1 0 0 0  966.0508 1.3245606  1.393438  1.393438 0        0  .7429588   .9914134 1.1186874   1.0267136
1 0 0 1 1 0 0  1270.177  1.747799  .8372993  .8372993 0        0  .7429588   .2917905 1.1186874    .1812828
1 1 1 1 0 0 0 1168.8821  3.062119  .1983231  .1983231 0        0  .7429588   .9914134  .5258843    .1787506
1 0 0 1 0 0 0  506.2879  2.591333 2.3306327 2.3306327 0        0  .7429588  1.0427761 1.1186874   1.0267136
1 0 0 1 0 0 0   963.946 1.0315026  2.641995  2.641995 0        0  .7429588   .9733109 1.1186874   1.0267136
1 0 0 0 0 1 1  5606.643  5.723766 1.9952846 1.9952846 0 .4961506 1.1360838  1.0246736 1.1186874    .1787506
1 0 0 0 0 0 0  1592.931   3.78114  2.540333  2.540333 0 .4961506  .7429588   .9733109  .9167902    .1812828
1 0 0 1 0 1 0  3753.912 1.7877698   2.43646   2.43646 0 .4961506 1.1360838  1.0427761 1.1186874   1.0267136
1 0 1 1 0 0 0  781.6613 1.6665493  2.318872  2.318872 0        0  .5373792  1.0246736 1.1186874    .1812828
1 0 0 1 0 0 0 2011.0865 4.7554226  9.690102  9.690102 0 .4961506  .7429588  1.0427761 1.1186874    .1787506
1 1 0 1 1 0 0  9456.769 17.186018  2.257081  2.257081 0        0 1.1360838  1.0427761 1.1186874   1.0267136
1 0 0 1 1 0 0 2077.8503 2.0123734  1.546868  1.546868 0        0  .7429588   .9914134 1.1186874   1.0267136
1 0 0 1 0 1 0 1703.4293 3.8445356  1.733584  1.733584 0        0  .7429588   .9733109 1.1186874   1.0292457
1 0 0 1 0 0 0  6551.735  5.382673  2.641995  2.641995 0        0  .7429588  1.0246736 1.1186874    .1812828
1 0 0 0 1 0 0 2225.0776 2.2129316  2.729646  2.729646 0 .4961506  .7429588  1.0427761 1.1186874    .1787506
end
label values country_id country
label def country 1 "Nepal", modify
label values achieved_all achieved_all
label def achieved_all 0 "Not achieved", modify
label def achieved_all 1 "Achieved", modify
label values Bicycle V06_05
label values Motor_cycle V06_05
label values car_all_type V06_05
label def V06_05 1 "yes", modify