The reason for the misbehavior is that Samer's data are -svyset- with
-strata()- set to -area-, but -area- does not exist in the data. If a
specific survey design is set (-svyset-), the -svymean- command is
used by -oaxaca- to compute the sampling variances of the means of the
regressors. However, in Samer's case, -svymean- produces error because
-area- cannot be found. Samer could, for example, type
. svyset, clear
to erase the survey settings. Furthermore, note that computation of
the variances of the means of the regressors is deactivated in
-oaxaca- if the -fixed- or -nose- option is specified.
ben
On 11/18/06, Samer Al-Samarrai <[email protected]> wrote:
Dear Owour,
Thanks for the suggestion. I am not really sure why the number of dummy
variables should make a difference to the decomposition. However, I removed
all the dummy variables and just left the continuous variables (age and
years of education) and I still have the same problem.
Any ideas?
Cheers
Samer
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of george owuor
Sent: 18 November 2006 16:45
To: [email protected]
Subject: Re: st: Oaxaca command error
Semer
your comand is for a simple OLS, but looking at your exogenours variables
you seem to have so many dummy variables in the midst of afew continours. My
bet is that you should have as many contionours variables as possible and
reduce the dummies to 2 or 1. Many dummies in OLS may lead to colliniearity
or just a collapse of the estimation
Owuor
----- Original Message ----
From: Samer Al-Samarrai <[email protected]>
To: [email protected]
Sent: Saturday, November 18, 2006 6:00:36 AM
Subject: st: Oaxaca command error
Dear Ben and all,
Below is my output and commands for the command I am trying to run. Any
ideas why I am getting the error at the end?
Kind regards
Samer
. regress logwage q04_1a agesq nonmuslim unmarried widdiv edyears urban
othact daily public if
> q02_1a==1
Source | SS df MS Number of obs =
6076
-------------+------------------------------ F( 10, 6065) =
291.05
Model | 841.657382 10 84.1657382 Prob > F =
0.0000
Residual | 1753.89694 6065 .289183337 R-squared =
0.3243
-------------+------------------------------ Adj R-squared =
0.3232
Total | 2595.55432 6075 .42725174 Root MSE =
.53776
----------------------------------------------------------------------------
--
logwage | Coef. Std. Err. t P>|t| [95% Conf.
Interval]
-------------+--------------------------------------------------------------
--
q04_1a | .0531162 .0033754 15.74 0.000 .0464993
.0597332
agesq | -.000566 .0000395 -14.34 0.000 -.0006434
-.0004887
nonmuslim | -.0547489 .0205557 -2.66 0.008 -.0950455
-.0144524
unmarried | -.0357809 .0264386 -1.35 0.176 -.08761
.0160482
widdiv | -.2524801 .0891609 -2.83 0.005 -.4272672
-.077693
edyears | .0499894 .0017928 27.88 0.000 .0464749
.053504
urban | -.0843149 .0150202 -5.61 0.000 -.1137597
-.0548701
othact | -.117553 .0231958 -5.07 0.000 -.163025
-.0720809
daily | .0528909 .0192471 2.75 0.006 .0151598
.090622
public | .3782054 .0282242 13.40 0.000 .322876
.4335349
_cons | 1.11547 .0719105 15.51 0.000 .9745004
1.25644
----------------------------------------------------------------------------
--
. estimates store male
. regress logwage q04_1a agesq nonmuslim unmarried widdiv edyears urban
othact daily public i
> f q02_1a==2
Source | SS df MS Number of obs =
911
-------------+------------------------------ F( 10, 900) =
75.53
Model | 345.167654 10 34.5167654 Prob > F =
0.0000
Residual | 411.300243 900 .45700027 R-squared =
0.4563
-------------+------------------------------ Adj R-squared =
0.4502
Total | 756.467897 910 .831283403 Root MSE =
.67602
----------------------------------------------------------------------------
--
logwage | Coef. Std. Err. t P>|t| [95% Conf.
Interval]
-------------+--------------------------------------------------------------
--
q04_1a | .0249686 .0098448 2.54 0.011 .0056472
.0442901
agesq | -.0003035 .0001219 -2.49 0.013 -.0005429
-.0000642
nonmuslim | .1068738 .0562578 1.90 0.058 -.003538
.2172855
unmarried | -.176665 .0818691 -2.16 0.031 -.3373415
-.0159885
widdiv | .0578513 .0628656 0.92 0.358 -.0655289
.1812315
edyears | .0744867 .0051692 14.41 0.000 .0643416
.0846317
urban | -.0671306 .047878 -1.40 0.161 -.1610962
.0268349
othact | -.0737967 .2417162 -0.31 0.760 -.5481898
.4005964
daily | .0375057 .0580337 0.65 0.518 -.0763915
.1514028
public | .735572 .0722005 10.19 0.000 .593871
.8772729
_cons | 1.07086 .1927252 5.56 0.000 .6926163
1.449103
----------------------------------------------------------------------------
--
. estimates store female
.
. oaxaca male female
area found where variable expected
r(198);
end of do-file
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