Hi, my name is José Guerreiro and I have a sample (with 3,190 firm year-observations) where my dependent variable is binary. My painel data is unbalanced (t= 2014 to 2022). So, I think xtlogit is the best statistic way for this sample. Am I correct?
After tested many variables to get a model I can't choose the best result because I don't have the option to fit model as in Logit Model's or Reg Model's.
My main question is: How I can choose the best result? Stata have some test to fit and help to choose the best result?
I put 2 results here:
1st Result tested
2nd Result tested:
Help is really much appreciated.
Thank you in advance and best regards,
After tested many variables to get a model I can't choose the best result because I don't have the option to fit model as in Logit Model's or Reg Model's.
My main question is: How I can choose the best result? Stata have some test to fit and help to choose the best result?
I put 2 results here:
1st Result tested
| xtlogit VariableDependentSus Indepvariable1ing Indepvariable2 Indepvariable3 Indepvariable4 Indepvariable5 Indepvariable6 Indepvariable7 Indepvariable8 Indepvariable9 Indepvariable10 Indepvariable11 Indepvariable12 Indepvariable13 Indepvariable14 Indepvariable15, re | ||||||||
| Random-effects logistic regression | Number of obs = 2,628 | |||||||
| Group variable: OrbisNumberD~e | Number of groups = 404 | |||||||
| Random effects u_i ~ Gaussian | Obs per group: | |||||||
| min = 1 | ||||||||
| avg = 6.5 | ||||||||
| max = 8 | ||||||||
| Integration method: mvaghermite | Integration pts. = 12 | |||||||
| Wald chi2(10) = 115.71 | ||||||||
| Log likelihood = -267.975 | Prob > chi2 = 0.0000 | |||||||
| VariableDependentSus | Coef. | Std. Err. | z | P>z | [95% Conf. Interval] | |||
| Indepvariable1ing | 1.557365 | .4080608 | 3.82 | 0.000 | .7575809 | 2.35715 | ||
| Indepvariable2 | -.2218852 | .0739719 | -3.00 | 0.003 | -.3668674 | -.076903 | ||
| Indepvariable3 | .2681297 | .0868202 | 3.09 | 0.002 | .0979651 | .4382942 | ||
| Indepvariable4 | -.1142315 | .0340206 | -3.36 | 0.001 | -.1809107 | -.0475523 | ||
| Indepvariable5 | .3053354 | .0750156 | 4.07 | 0.000 | .1583076 | .4523632 | ||
| Indepvariable6 | -.1192569 | .0416747 | -2.86 | 0.004 | -.2009378 | -.037576 | ||
| Indepvariable7 | -.0979961 | .0640854 | -1.53 | 0.126 | -.2236012 | .0276089 | ||
| Indepvariable8 | 5.294751 | .8101083 | 6.54 | 0.000 | 3.706967 | 6.882534 | ||
| Indepvariable9 | 5.156549 | .8187421 | 6.30 | 0.000 | 3.551844 | 6.761254 | ||
| Indepvariable10 | .0348831 | .0200001 | 1.74 | 0.081 | -.0043164 | .0740827 | ||
| Indepvariable11 | -.0074051 | .0042519 | -1.74 | 0.082 | -.0157386 | .0009285 | ||
| Indepvariable12 | -.2477482 | .1081448 | -2.29 | 0.022 | -.4597081 | -.0357884 | ||
| Indepvariable13 | .0676959 | .0267967 | 2.53 | 0.012 | .0151754 | .1202164 | ||
| Indepvariable14 | -.5387435 | .8334802 | -0.65 | 0.518 | -2.172335 | 1.094848 | ||
| Indepvariable15 | .6975525 | 2.284144 | 0.31 | 0.760 | -3.779288 | 5.174393 | ||
| _cons | -56.32592 | 8.704559 | -6.47 | 0.000 | -73.38654 | -39.26529 | ||
| /lnsig2u | 4.246848 | .158375 | 3.936439 | 4.557258 | ||||
| sigma_u | 8.359714 | .6619851 | 7.157921 | 9.763285 | ||||
| rho | .9550409 | .0068003 | .9396639 | .9666381 | ||||
| LR test of rho=0: chibar2(01) = 387.60 | Prob >= chibar2 = 0.000 | |||||||
| xtlogit VariableDependentSus Indepvariable1ing Indepvariable16 Indepvariable5 Indepvariable9 Indepvariable10 Indepvariable12 Indepvariable13 Indepvariable17 , re | |||||||
| Random-effects logistic regression | Number of obs = 2,840 | ||||||
| Group variable: OrbisNumberD~e | Number of groups = 417 | ||||||
| Random effects u_i ~ Gaussian | Obs per group: | ||||||
| min = 1 | |||||||
| avg = 6.8 | |||||||
| max = 8 | |||||||
| Integration method: mvaghermite | Integration pts. = 12 | ||||||
| Wald chi2(8) = 169.54 | |||||||
| Log likelihood = -465.73907 | Prob > chi2 = 0.0000 | ||||||
| VariableDependentSus | Coef. | Std. Err. | z | P>z | [95% Conf. Interval] | ||
| Indepvariable1ing | 1.209362 | .3202709 | 3.78 | 0.000 | .5816422 | 1.837081 | |
| Indepvariable16 | 2.120578 | .8644157 | 2.45 | 0.014 | .4263546 | 3.814802 | |
| Indepvariable5 | .2186189 | .0267567 | 8.17 | 0.000 | .1661768 | .2710611 | |
| Indepvariable9 | 9.385642 | 1.033457 | 9.08 | 0.000 | 7.360105 | 11.41118 | |
| Indepvariable10 | .0534956 | .0177495 | 3.01 | 0.003 | .0187073 | .0882839 | |
| Indepvariable12 | -.4565602 | .0993613 | -4.59 | 0.000 | -.6513048 | -.2618157 | |
| Indepvariable13 | .0842074 | .0203534 | 4.14 | 0.000 | .0443154 | .1240994 | |
| Indepvariable17 | 8.163206 | 1.495749 | 5.46 | 0.000 | 5.231592 | 11.09482 | |
| _cons | -94.0886 | 8.011558 | -11.74 | 0.000 | -109.791 | -78.38623 | |
| /lnsig2u | 4.921836 | .167152 | 4.594224 | 5.249448 | |||
| sigma_u | 11.71556 | .9791397 | 9.94542 | 13.80076 | |||
| rho | .9765919 | .0038211 | .9678099 | .9830201 | |||
| LR test of rho=0: chibar2(01) = 1070.27 | Prob >= chibar2 = 0.000 | ||||||
Help is really much appreciated.
Thank you in advance and best regards,
