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Re: st: AW: RE: estimating an unbalanced panel


From   "Jessica [iso-8859-1] �lschl�ger" <[email protected]>
To   [email protected]
Subject   Re: st: AW: RE: estimating an unbalanced panel
Date   Thu, 24 Jan 2008 12:19:05 +0100

Dear Maarten, 


when I'm typing xtdescribe for my dataset I get the following output:


. xtdescribe

    coid:  1, 2, ..., 30                                     n =         30
    year:  1950, 1951, ..., 2005                             T =         56
           Delta(year) = 1 unit
           Span(year)  = 56 periods
           (coid*year uniquely identifies each observation)

Distribution of T_i:   min      5%     25%       50%       75%     95%     max
                        56      56      56        56        56      56      56

     Freq.  Percent    Cum. |  Pattern
 ------------------------+----------------------------------------------------------
    30    100.00  100.00 |
11111111111111111111111111111111111111111111111111111
 ---------------------------+----------------------------------------------------------
    30    100.00       
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Does this tell you something I haven't recognized yet?

I also typed "sum if year >=1990" because this is the time span (1990-2005)for
which I'm doing my regressions at the moment. The least numbers of observations
for a single variable that stata returns is 85 (see below).

Do you have any suggestions?

Jessica


. sum if year >=1990

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
        coid |       480        15.5    8.664472          1         30
       eu_15 |       480          .5    .5005216          0          1
        year |       480      1997.5    4.614582       1990       2005
    corprate |       366    33.99372    5.663233         16         50
    persrate |       268    44.28313    9.637002         13         68
-------------+--------------------------------------------------------
     vatrate |       436    17.50532    5.693931          3         25
        pitr |        85    17.00588    9.002372        4.6         41
        cetr |       204    26.71569    7.652872         10       43.7
        ketg |       204    22.23529    5.554781       11.1       37.4
        nwlc |       204    23.36667    8.837636        4.1         41
-------------+--------------------------------------------------------
         hbs |       474   -.4729114    6.205395     -63.96      16.16
      fdiout |       450    15767.68    33245.51     -11067     252012
       fdiin |       450     12668.6    30055.53     -38581     321274
     fdioutp |       450    124818.3    261967.7          0    2069013
      fdiinp |       450    96719.37    196991.8          0    1553955
-------------+--------------------------------------------------------
gdp1955_2005 |       480    34067.26    127258.6     .39306   806621.9
       toexp |       245    2.93e+11    2.24e+12   1.08e+07   2.95e+13
    toexpppp |       245    1.58e+12    7.82e+12   1.10e+07   6.19e+13
         lbs |       433   -6.227229    75.19171     -791.5     172.16
       cpiti |       320    7.017344    2.086486       2.66         10
-------------+--------------------------------------------------------
      totrev |       463    481001.3    940469.4    78.7146    8091442
 totaltaxgdp |       463    35.67134    7.816183   16.57135   53.38145
    t1000gdp |       462    12.81689    5.196823   4.047751   30.31366
    t1100gdp |       462    9.469915    4.958679          0   26.37211
    t1200gdp |       462    2.974308    1.556358          0   12.81173
-------------+--------------------------------------------------------
    t2000gdp |       462     9.03067    5.152212          0   18.86867
    t3000gdp |       446    .3676013    .7287513          0   5.821948
    t4000gdp |       462     1.88998    1.048129          0    8.41538
    t5000gdp |       462    11.20277    2.966812   3.970961   17.90243
    t5111gdp |       462    6.187076    3.719843          0   62.55744
-------------+--------------------------------------------------------
    t5112gdp |       462    .2805195    .8740527          0   8.396804
    t5120gdp |       462    3.954499    1.534671          0   9.740898
    t6000gdp |       462    .1375409    .3561737          0   2.448328
     dirtgdp |       462    24.09241    6.522121   7.083571   40.22071
   indirtgdp |       462    11.20277    2.966812   3.970961   17.90243
-------------+--------------------------------------------------------
(shortened)

Zitat von Maarten buis <[email protected]>:

> --- Maarten Buis asked:
> > Are you using -xtreg- with the -fe- option to estimate your fixed
> > effects model?
> 
> --- Jessica Oelschlaeger wrote:
> > Yes, I do. 
> 
> Than I am confused, -xtreg- with -fe- does not require balanced data,
> so you should not loose that many units. See the example below:
> 
> *--------------- begin example -------------
> webuse nlswork, clear
> xtdescribe
> xtreg ln_w union south ttl_exp age , fe
> *----------------- end example -------------
> 
> -- Maarten
> 
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
> 
> visiting address:
> Buitenveldertselaan 3 (Metropolitan), room Z434
> 
> +31 20 5986715
> 
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
> 
> 
>       __________________________________________________________
> Sent from Yahoo! Mail - a smarter inbox http://uk.mail.yahoo.com
> 
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> 


-- 
Dipl. oec. Jessica �lschl�ger

Forschungsstelle Europ�ische Integration
Universtit�t Hohenheim

mailto:[email protected]


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