I am currently trying to display the results of 4 logistic regression analyses using esttab. My model mainly includes categorical predictors, however, when I use the esttab command, the names of the variables are not displayed in the table.
Because some of my IV have the same levels it is important to be able to distinguish them.
I am running:
Code:
logit sat_dem1 ib1.corrupt_mp est store model1 logit sat_dem1 ib1.corrupt_mp gender age_c ib5.edu est store model2 logit sat_dem1 ib1.corrupt_mp gender age_c ib5.edu winner anc i.economy i.gov_economy /// i.gov_emp i.gov_crime ib4.media est store model3 logit sat_dem1 ib1.corrupt_mp gender age_c ib5.edu winner anc i.economy i.gov_economy est store model4 esttab model1 model2 model3 model4, label se pr2 bic aic nobaselevels title(Corruption and Satisfaction with Democracy) nonumbers mtitles("Model 1" "Model 2" "Model 3" "Model 4")
Code:
Corruption and Satisfaction with Democracy ------------------------------------------------------------------------------------ Model 1 Model 2 Model 3 Model 4 ------------------------------------------------------------------------------------ Satisfaction with ~m None 0.0970 0.126 -0.0582 -0.00659 (0.207) (0.209) (0.224) (0.219) Most of them -0.408*** -0.436*** -0.333** -0.339** (0.120) (0.121) (0.127) (0.126) All of them -0.591*** -0.612*** -0.413** -0.431** (0.138) (0.139) (0.147) (0.146) Don't know/ Haven’~d 0.197 0.214 0.232 0.212 (0.196) (0.199) (0.216) (0.213) Gender -0.158 -0.146 -0.141 (0.0970) (0.103) (0.101) age_c -0.000588 -0.000102 0.000401 (0.00358) (0.00384) (0.00374) No formal schooling -0.135 -0.00579 -0.115 (0.251) (0.266) (0.260) Informal schooling~y 0.806 0.695 0.674 (0.545) (0.562) (0.558) Some primary schoo~g 0.0201 0.000575 -0.0114 (0.221) (0.234) (0.231) Primary school com~d -0.132 -0.166 -0.169 (0.262) (0.273) (0.271) Some secondary sch~h -0.0674 -0.0916 -0.112 (0.124) (0.132) (0.130) Post-secondary qua~o 0.335* 0.345* 0.376* (0.160) (0.169) (0.167) Some university -0.333 -0.216 -0.167 (0.301) (0.313) (0.308) University completed -0.0209 0.0782 0.0502 (0.245) (0.258) (0.255) Post-graduate -0.141 0.0321 0.0411 (0.302) (0.318) (0.313) Don’t know 0.962 1.068 1.456 (1.241) (1.268) (1.255) Winner-Loser 0.264* 0.287* (0.126) (0.124) Proximity to gover~y 0.337* 0.317* (0.136) (0.134) Fairly Bad 0.291* 0.316* (0.133) (0.131) Neither good nor bad 0.533** 0.599*** (0.181) (0.179) Fairly Good 0.803*** 0.844*** (0.155) (0.152) Very good 0.691*** 0.705*** (0.197) (0.192) Don't know -0.261 -0.263 (0.476) (0.467) Fairly Badly 0.264 0.280* (0.145) (0.135) Fairly Well 0.520*** 0.631*** (0.142) (0.130) Very Well 0.733** 0.852*** (0.247) (0.226) Don't know / Haven~g -0.0712 0.159 (0.258) (0.234) Fairly Badly -0.0218 (0.147) Fairly Well 0.0610 (0.159) Very Well 0.249 (0.300) Don't know / Haven~g 0.959 (0.492) Fairly Badly -0.0633 (0.147) Fairly Well 0.432** (0.153) Very Well -0.283 (0.251) Don't know / Haven~g -0.174 (0.481) Never -0.366* (0.175) Less than once a m~h 0.180 (0.384) A few times a month 0.193 (0.244) A few times a week -0.0869 (0.160) Don't know -1.368 (1.148) Constant -0.0970 -0.0177 -0.901*** -0.926*** (0.0706) (0.108) (0.160) (0.152) ------------------------------------------------------------------------------------ Observations 1808 1808 1808 1808 Pseudo R-squared 0.013 0.018 0.080 0.069 AIC 2450.2 2459.8 2356.4 2357.5 BIC 2477.7 2553.3 2581.9 2511.5 ------------------------------------------------------------------------------------ Standard errors in parentheses * p<0.05, ** p<0.01, *** p<0.001
I am thankful for any help!!
0 Response to esttab: names of categorical variables not shown
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