I am using stata 13 and and regressing xtoprobit for a three round panel. the result gives me that the number of observations just equal to the number of groups. Is there posibility to have same observation and group numbers in a panel data? How can I correct it? . Sigma2_u is also almost zero implying there is no variation over time and I applied oprobit regression as a solution. the result still revealed that the pseudo R-square is very low (below ten percent) and the number of observations I obtained are equal to the number of groups (3143). where I made wrong? I couldnt identify it. Anyone to help me out please?
xtset
panel variable: hh_id (strongly balanced)
time variable: hh_saq13_c, 2004 to 2008, but with gaps
delta: 1 unit
Random-effects ordered probit regression Number of obs = 3143
Group variable: hh_id Number of groups = 3143
Random effects u_i ~ Gaussian Obs per group: min = 1
avg = 1.0
max = 1
Integration method: mvaghermite Integration points = 12
Wald chi2(36) = 813.03
Log pseudolikelihood = -3875.6153 Prob > chi2 = 0.0000
Robust
povcategory Coef. Std. Err. z P>z [95% Conf. Interval]
hh_s1q03 -.0309128 .0667902 -0.46 0.643 -.1618192 .0999935
hh_s1q04_a -.0074715 .0080556 -0.93 0.354 -.0232601 .0083171
_Imaried_1 .221124 .0593326 3.73 0.000 .1048343 .3374138
_Ieduchead_1 .2819786 .0575425 4.90 0.000 .1691974 .3947597
_Ieduchead_2 .4326263 .0678121 6.38 0.000 .299717 .5655357
_Ieduchead_3 .3255298 .1559916 2.09 0.037 .0197918 .6312677
_Ieduchead_4 .6564651 .139211 4.72 0.000 .3836165 .9293137
_Ieduchead_5 .4756074 .4164513 1.14 0.253 -.340622 1.291837
..........................
.......................................
/cut1 -2.204827 .206864 -10.66 0.000 -2.610273 -1.799381
/cut2 -1.29916 .2059173 -6.31 0.000 -1.702751 -.8955698
/cut3 -.401736 .2046614 -1.96 0.050 -.8028651 -.000607
/sigma2_u 9.93e-24 3.51e-23 9.84e-27 1.00e-20
xtset
panel variable: hh_id (strongly balanced)
time variable: hh_saq13_c, 2004 to 2008, but with gaps
delta: 1 unit
Random-effects ordered probit regression Number of obs = 3143
Group variable: hh_id Number of groups = 3143
Random effects u_i ~ Gaussian Obs per group: min = 1
avg = 1.0
max = 1
Integration method: mvaghermite Integration points = 12
Wald chi2(36) = 813.03
Log pseudolikelihood = -3875.6153 Prob > chi2 = 0.0000
Robust
povcategory Coef. Std. Err. z P>z [95% Conf. Interval]
hh_s1q03 -.0309128 .0667902 -0.46 0.643 -.1618192 .0999935
hh_s1q04_a -.0074715 .0080556 -0.93 0.354 -.0232601 .0083171
_Imaried_1 .221124 .0593326 3.73 0.000 .1048343 .3374138
_Ieduchead_1 .2819786 .0575425 4.90 0.000 .1691974 .3947597
_Ieduchead_2 .4326263 .0678121 6.38 0.000 .299717 .5655357
_Ieduchead_3 .3255298 .1559916 2.09 0.037 .0197918 .6312677
_Ieduchead_4 .6564651 .139211 4.72 0.000 .3836165 .9293137
_Ieduchead_5 .4756074 .4164513 1.14 0.253 -.340622 1.291837
..........................
.......................................
/cut1 -2.204827 .206864 -10.66 0.000 -2.610273 -1.799381
/cut2 -1.29916 .2059173 -6.31 0.000 -1.702751 -.8955698
/cut3 -.401736 .2046614 -1.96 0.050 -.8028651 -.000607
/sigma2_u 9.93e-24 3.51e-23 9.84e-27 1.00e-20