Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Nick Cox <n.j.cox@durham.ac.uk> |

To |
"'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: xtreg fixed effect |

Date |
Wed, 9 Nov 2011 15:22:52 +0000 |

I believe you. That is why you didn't get an error message r(2000). As Fernando has explained, you have few data or too many parameters for what you are doing, so Vikram's suggestion is not the answer either way. Nick n.j.cox@durham.ac.uk donsaane Thanks Nick , But all my variables are byte, they are not string. Nick Cox Not so: webuse nlswork xtset idcode generate age2 = age^2 xtreg ln_w grade age* <all work fine> . gen badvar = string(_n) . xtreg ln_w grade age* badvar no observations r(2000); Nick n.j.cox@durham.ac.uk Vikram Finavker Have you checked the 3 variables which you are adding. If they are string then stata will give you these message. On 9 Nov 2011, at 03:30 AM, donsaane <donsaane@yahoo.fr> wrote: > I am running a fixed effect model. I have to run this model with 16 > variables but I can only run with 13 variables because the R-squared is > 0.984. When I add the 3 others variables, stata said: 'insufficient > obervations' although these variables have many observations. Is there a > problem with that? I f yes how can I solve that. > PS: I'm working on a balanced panel > Here the example of my output > > > xtreg emploi c30a j30f c30b d30a d30b e30 g30a h30 i30 j30a j30b, fe > vce(robust) > > Fixed-effects (within) regression Number of obs = > 82 > Group variable: panelid Number of groups = > 70 > > R-sq: within = 0.9874 Obs per group: min = > 1 > between = 0.0672 avg = > 1.2 > overall = 0.0605 max = > 2 > > F(11,69) = > 118.55 > corr(u_i, Xb) = -0.9701 Prob > F = > 0.0000 > > (Std. Err. adjusted for 70 clusters in > panelid) > ---------------------------------------------------------------------------- > -- > | Robust > emploi | Coef. Std. Err. t P>|t| [95% Conf. > Interval] > -------------+-------------------------------------------------------------- > -- > c30a | .9143767 .059555 15.35 0.000 .7955678 > 1.033186 > j30f | -.47526 .030562 -15.55 0.000 -.5362296 > -.4142904 > c30b | .0024208 .0192561 0.13 0.900 -.035994 > .0408356 > d30a | -.2705821 .0331653 -8.16 0.000 -.3367451 > -.2044191 > d30b | -.5215098 .0365427 -14.27 0.000 -.5944105 > -.4486091 > e30 | -.4530234 .0565547 -8.01 0.000 -.565847 > -.3401997 > g30a | .5852609 .0403684 14.50 0.000 .5047281 > .6657937 > h30 | -.1785489 .0161245 -11.07 0.000 -.2107165 > -.1463814 > i30 | -.0622 .0232747 -2.67 0.009 -.1086317 > -.0157683 > j30a | -.6889813 .0697342 -9.88 0.000 -.8280972 > -.5498655 > j30b | .4019738 .0364463 11.03 0.000 .3292655 > .4746821 > _cons | 2.07585 .2529012 8.21 0.000 1.571326 > 2.580374 > -------------+-------------------------------------------------------------- > -- > sigma_u | 1.915378 > sigma_e | .13146307 > rho | .99531125 (fraction of variance due to u_i) > ---------------------------------------------------------------------------- > -- > > . xtreg emploi c30a j30f c30b d30a d30b e30 g30a h30 i30 j30a j30b j30c, fe > vce(robust) > insufficient observations > r(2001); * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: xtreg fixed effect***From:*"donsaane" <donsaane@yahoo.fr>

**Re: st: xtreg fixed effect***From:*Vikram Finavker <vikramfinavker@gmail.com>

**RE: st: xtreg fixed effect***From:*Nick Cox <n.j.cox@durham.ac.uk>

**RE: st: xtreg fixed effect***From:*"donsaane" <donsaane@yahoo.fr>

- Prev by Date:
**Re: st: RE: how to identify strings among which some are abbreviated andgroup strings which have the same keywords** - Next by Date:
**Re: Re: st: how to identify strings among which some are abbreviated andgroup strings which have the same keywords** - Previous by thread:
**RE: st: xtreg fixed effect** - Next by thread:
**st: polytomous logistic regression and logistic regression using weights** - Index(es):