Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down at the end of May, and its replacement, statalist.org is already up and running.


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

Re: st: xtserial error: "no observations"


From   Nick Cox <njcoxstata@gmail.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: xtserial error: "no observations"
Date   Tue, 9 Apr 2013 00:35:34 +0100

Previous questions still to be answered:

1. Incidence of missing values.

2. Does time variable contain gaps?


Nick
njcoxstata@gmail.com


On 8 April 2013 20:13, Rodrigo Badilla <rodrigo.badilla@gmail.com> wrote:
> Hi all,
>
> i used numeric data  type , below is a description of my data with codebook:
>
> fecha: numeric daily date (long) : this is my panel data (fixed effect)
>  colocaciones: numeric (float)
> tasa_min numeric (float)
> tasa_max numeric (float)
> imacec   numeric (float)
> icv  numeric (float)
> ipc  numeric (float)
> cae   numeric (float)
> ingreso,numeric (float).
>
> When i write this command the output was:
>
>  xtserial  colocaciones  tasa_min tasa_max imacec   icv  ipc  cae
> ingreso, output
> no observations
> r(2000);
>
>  alternatively i used xtpcse and xtgls command to get some idea about
> autocorrelation in my data panel
>
> Cross-sectional time-series FGLS regression
>
> Coefficients:  generalized least squares
> Panels:        homoskedastic
> Correlation:   no autocorrelation
>
> Estimated covariances      =         1          Number of obs      =       386
> Estimated autocorrelations =         0          Number of groups   =         8
> Estimated coefficients     =        15          Obs per group: min =        46
>                                                                avg =     48.25
>                                                                max =        49
>                                                 Wald chi2(14)      =   1575.78
> Log likelihood             = -6270.753          Prob > chi2        =    0.0000
>
> i know that my data number is small and probably the problem could be
> in other side, I am working in that...
>
> regards
> Rodrigo
>
> 2013/4/8 Nick Cox <njcoxstata@gmail.com>:
>> You need to tell us more about exactly what you typed and the
>> incidence of missing values.
>>
>> In addition, note that -xtserial- is user-written, so that you are
>> expected to explain that and say where it comes from.
>>
>> I doubt that having 386 observations is itself a problem.
>>
>> Nick
>> njcoxstata@gmail.com
>>
>> On 8 April 2013 15:34, Rodrigo Badilla <rodrigo.badilla@gmail.com> wrote:
>>
>>> Thanks for you reply and information, i did checked my variables and
>>> are not strings... probably the missing values could be the answer...
>>>
>>> anyway i have been read that autocorrelation test with xtserial should
>>> be used with panel data with a large number of data, could be this in
>>> relation with my problem ( i have only 386 samples)
>>
>> 2013/4/8 Nick Cox <njcoxstata@gmail.com>:
>>
>>>> This typically means that
>>>>
>>>> either some variable you think is numeric is really string
>>>>
>>>> or some variable contains missing values, prohibiting some calculation.
>>>>
>>>> We can't say more without knowing more about your data.
>>
>> On 8 April 2013 13:52, Rodrigo Badilla <rodrigo.badilla@gmail.com> wrote:
>>
>>>>> I am triying to run a autocorrelation tests with xtserial command,
>>>>> lamentably only get this error output: "no observations" previously i
>>>>> set my data with xtset command, my data set have 386 samples.
>> *
>> *   For searches and help try:
>> *   http://www.stata.com/help.cgi?search
>> *   http://www.stata.com/support/faqs/resources/statalist-faq/
>> *   http://www.ats.ucla.edu/stat/stata/
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/faqs/resources/statalist-faq/
> *   http://www.ats.ucla.edu/stat/stata/
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index