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Re: st: Repeated time values within panel


From   Nick Cox <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Repeated time values within panel
Date   Sun, 26 Jan 2014 11:24:04 +0000

-xtset- won't allow repeated times within panels when you declare both
identifier and time variable. This is an absolute rule and exceptions
aren't allowed. Stata can't be faked or fooled on this. I can't advise
on what is "correct" for your analysis, however. -xtset- allows just
an identifier, but I can't see that is going to help you at all here.
Nick
[email protected]


On 25 January 2014 17:58, Giovanni Palmieri
<[email protected]> wrote:
> Dear all,
>
> I am having a problem setting xt set in stata.I  have a macro panel for 40 counties with 23 variables that include the usual annual macro variable (cpi ,debt , gdp etc), dummies  and some other indicators that in some cases change their value in the same year more than once .
> I do not know the exact date their value changes as those are indicators created by researchers.  Anyway what I did is that for each indicator that takes more than one value in the same year  I copied -pasted for each value the all the observation of the other variables. I provide some of data as an example just to make it more clear only for some of the variables
>
> country  year    countrycode     GDPconstant             GDPpcurrent                   cpi           indicator1      indicator2          indicator3                        Dummy1
> Australia       1990    1       4.30E+11        3.10E+11        69.2101 -4.5    -4.5    1       0
> Australia       1990    1       4.30E+11        3.10E+11        69.2101 -14.9   -14.9   1       0
> Australia       1991    1       4.20E+11        3.30E+11        71.4406 -14.9   -14.9   1       0
> Australia       1991    1       4.20E+11        3.30E+11        71.4406 -14.9   -14.9   1       0
> Australia       1992    1       4.30E+11        3.30E+11        72.1449 -14.9   -14.9   1       0
> Australia       1993    1       4.40E+11        3.10E+11        73.453  -14.9   -14.9   1       0
> Australia       1993    1       4.40E+11        3.10E+11        73.453  -0.164745       -0.164745       1       0
> Australia       1994    1       4.60E+11        3.20E+11        74.8449 -0.164745       -0.164745       1       0
> Australia       1995    1       4.80E+11        3.70E+11        78.3163 -0.164745       -0.164745       1       0
> Australia       1996    1       5.00E+11        4.00E+11        80.3622 -0.164745       -0.164745       1       0
> Australia       1996    1       5.00E+11        4.00E+11        80.3622 22.5933 22.5933 3       1
> Australia       1997    1       5.20E+11        4.40E+11        80.5635 22.5933 22.5933 3       1
> Australia       1998    1       5.40E+11        4.00E+11        81.251  22.5933 22.5933 3       1
> Australia       1998    1       5.40E+11        4.00E+11        81.251  48.4581 48.4581 2       1
> Australia       1999    1       5.70E+11        3.90E+11        82.4417 48.4581 48.4581 2       1
> Australia       2000    1       5.90E+11        4.20E+11        86.1311 48.4581 48.4581 2       1
> Australia       2001    1       6.00E+11        3.80E+11        89.9044 48.4581 48.4581 2       1
> Australia       2001    1       6.00E+11        3.80E+11        89.9044 33.033  30.7286 2       1
>
>
>
> I am able to xt set and run regressions only when I am not setting the time variable which I really need  in order to conduct afterwards unit root tests. When I try to include the time var I get an error
>
> xtset countrycode year
> repeated time values within panel
>
> Two important question
> 1).Have I set up the data correctly?
> 2) How can I xt set including time variable without deleting duplicates?
>
> Macro values come from IMF-IFS and are yearly based. So because in my model macro variables are influenced by the indicators  I am allowing separately index values as different observations in the same year . My first thought has been to take average or choose one of the observation for each year  however this is not correct because simply destroys my theoretical assumption of the influence of the indicators to the macro variables and that is what I want to capture.
>
>
> Thank you
>
> Giovanni Palmieri
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