How can I export a nbreg regression to include the alpha value and show its significance using the star signs?. I have showed the regression as below. I use stata 14
I tried using the asdoc command but its giving me something only the constant of the lnalpha. How do i get the alpha also exported in a publication form?
This is how I got it using the asdoc command.
asdoc nbreg PPE_tot Sex Age Educ_2 Educ_3 Educ_4 certification Off_farm_income live_in_farm Exp_AGRIC total REGION2 REGION3 HHsz Cooperative Mines Cred_req Landsize_ha size_type, vce(robust) title(Negative binomial_total table)
Negative binomial_total table
I tried using the asdoc command but its giving me something only the constant of the lnalpha. How do i get the alpha also exported in a publication form?
This is how I got it using the asdoc command.
asdoc nbreg PPE_tot Sex Age Educ_2 Educ_3 Educ_4 certification Off_farm_income live_in_farm Exp_AGRIC total REGION2 REGION3 HHsz Cooperative Mines Cred_req Landsize_ha size_type, vce(robust) title(Negative binomial_total table)
Negative binomial_total table
| PPE_tot | Coef. | St.Err. | t-value | p-value | [95% Conf | Interval] | Sig | ||||
| Sex | .035 | .019 | 1.79 | .074 | -.003 | .073 | * | ||||
| Age | .004 | .001 | 4.62 | 0 | .002 | .006 | *** | ||||
| Educ_2 | .235 | .038 | 6.17 | 0 | .16 | .309 | *** | ||||
| Educ_3 | .437 | .04 | 10.81 | 0 | .358 | .516 | *** | ||||
| Educ_4 | .62 | .044 | 14.15 | 0 | .534 | .706 | *** | ||||
| certification | .17 | .093 | 1.83 | .067 | -.012 | .352 | * | ||||
| Off_farm_income | -.027 | .018 | -1.51 | .131 | -.061 | .008 | |||||
| live_in_farm | -.002 | .017 | -0.09 | .927 | -.035 | .032 | |||||
| Exp_AGRIC | -.002 | .001 | -2.54 | .011 | -.004 | 0 | ** | ||||
| total | 0 | 0 | 4.64 | 0 | 0 | 0 | *** | ||||
| REGION2 | .028 | .02 | 1.40 | .16 | -.011 | .068 | |||||
| REGION3 | .202 | .026 | 7.68 | 0 | .15 | .253 | *** | ||||
| HHsz | .002 | .005 | 0.46 | .645 | -.007 | .011 | |||||
| Cooperative | .16 | .03 | 5.36 | 0 | .101 | .218 | *** | ||||
| Mines | .237 | .027 | 8.84 | 0 | .184 | .289 | *** | ||||
| Cred_req | .105 | .022 | 4.76 | 0 | .062 | .149 | *** | ||||
| Landsize_ha | .001 | .001 | 1.16 | .246 | 0 | .002 | |||||
| size_type | .038 | .115 | 0.33 | .739 | -.188 | .264 | |||||
| Constant | -.409 | .131 | -3.11 | .002 | -.667 | -.151 | *** | ||||
| Constant | -4.507 | .885 | .b | .b | -6.24 | -2.773 | |||||
| Mean dependent var | 1.281 | SD dependent var | 1.173 | ||||||||
| Pseudo r-squared | 0.020 | Number of obs | 12626 | ||||||||
| Chi-square | 820.428 | Prob > chi2 | 0.000 | ||||||||
| Akaike crit. (AIC) | 36541.926 | Bayesian crit. (BIC) | 36690.796 | ||||||||
| *** p<.01, ** p<.05, * p<.1 | |||||||||||
