# st: Stata gives no result for Std. Err, t, P>|t| or Conf. Interval. (Master Thesis - help needed)

 From Bianca Claassen To statalist@hsphsun2.harvard.edu Subject st: Stata gives no result for Std. Err, t, P>|t| or Conf. Interval. (Master Thesis - help needed) Date Thu, 6 Aug 2009 12:02:33 +0200

```Hello,

I would like to ask for some help with my master thesis since I do not
have a lot of Stata experience.
I would really appreciate your help!

I am trying to run regressions with my data but somehow it does give
me the coefficient but no result for Std. Err, t, P>|t| or Conf.
Interval.

The regression is:
(O_giz-O_niz )=α+ β_n (X_gz-X_nz )+∑_(z=1)^Z〖γ_z c_z 〗+ε_n

reg delta_sic  delta_age delta_quality delta_rba id_*, robust

Where the depended variable (delta_sic) is the difference between the
square footage a certain industry occupies in green building g, as a
percentage of the total occupied space in the building, compared to
the fraction of the total occupied space it rents in control building
n in cluster z. A vector of the differences in hedonic characteristics
of the green sample versus the control sample, (X_gz-X_nz), accounts
for differences in building size, quality and age. c_z is a dummy
variable with a value of one if a building is located within a
specific building cluster z and zero otherwise. Clusters were formed
for each one of the green building and includes all conventional
office buildings within a quarter mile radius of it. Finally, α, β_n
and γ_z are estimated coefficients and ε_n the error term.

This means that:
delta_sic = is a value between 0 and 1
delta age, delta_quality and delta_rba are the characteristics and
take values between -100 and 100 which are multiplied by dummy
variables (that are there to identify the cluster the buildings belong
to)
id_* = the cluster identification variable (every green id has a
related dummy variable so that the control variables can be linked to
it)

What am I doing wrong that my regression does not yield any Std. Err,
t, P>|t| or Conf. Interval?
I would really appreciate help because I am trying to write my master
thesis and do not have much experience with Stata.

Bianca

----------------------------------------------------------

reg delta_sic6  delta_age delta_quality delta_rba id_*, robust

Linear regression                                      Number of obs =     798
F(  0,     0) =       .
Prob > F      =       .
R-squared     =  1.0000
Root MSE      =       0

------------------------------------------------------------------------------
|               Robust
delta_sic6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
delta_age |  -.0000587          .        .       .            .           .
delta_qual~y |  -.0186775          .        .       .            .           .
delta_rba |   .0142273          .        .       .            .           .
id_109 |  -.0749682          .        .       .            .           .
id_110 |  -.0081043          .        .       .            .           .
id_111 |  -.0358519          .        .       .            .           .
id_112 |    .300693          .        .       .            .           .
id_113 |  -.0222221          .        .       .            .           .
id_114 |  -.0213012          .        .       .            .           .
id_116 |    .079335          .        .       .            .           .
id_117 |   .0213555          .        .       .            .           .
id_118 |  (dropped)
id_119 |  -.0012657          .        .       .            .           .
id_120 |  -.0064438          .        .       .            .           .
id_121 |   -.000078          .        .       .            .           .
id_122 |  (dropped)
id_123 |  (dropped)
id_124 |   -.043714          .        .       .            .           .
id_125 |   .0054831          .        .       .            .           .
id_126 |   .0061213          .        .       .            .           .
id_127 |  -.0099928          .        .       .            .           .
id_128 |  (dropped)
id_130 |   .0058896          .        .       .            .           .
id_131 |   .0341311          .        .       .            .           .
id_132 |  (dropped)
id_133 |  -.1664293          .        .       .            .           .
id_134 |  -.1653741          .        .       .            .           .
id_135 |  -.1742016          .        .       .            .           .
id_136 |   .0058644          .        .       .            .           .
id_137 |  -.0024823          .        .       .            .           .
id_138 |  -.0077241          .        .       .            .           .
id_139 |  -.0080733          .        .       .            .           .
id_140 |   .0030768          .        .       .            .           .
id_141 |   .0066013          .        .       .            .           .
Etc.

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