Re: st: Re: rolling and ts operators

[Richard Herron <richard.c.herron@gmail.com>]

-rolling- passes seven observations to -regress-, but when -regress-
creates the regressors, the one with the lag operator in the first
observation for each individual is empty. -regress- still runs the
regression, but can only use six observations since the first one is
empty.

It doesn't have to do with the number or linearity of regressors.
Maybe it's illustrative to look at that first seven observation window
and see that the first lagged value is missing and that -regress- has
N = 6.

* begin code
webuse grunfeld, clear
xtset company year
list company year invest mvalue l.mvalue in 1/7
regress invest mvalue l.mvalue in 1/7
* end code

On Tue, Oct 25, 2011 at 05:12, Nuno Soares <ndsoares@gmail.com> wrote:
> Dear Richard,
>
> Thank you so much! I didn't know - rolling - was panel data aware!
> It's much more efficient than the code I have.
>
> However, although your insights solve my problem, the main question
> still remains: why does Stata use 6 observations and not 7....
>
> If I just tweak your code a litle bit (to include 5 indep variables as
> in my case I squared mvalue);
>
> * start code *
>
> webuse grunfeld, clear
> rename company id
> gen mvaluesq=mvalue^2
> xtset id year, year
> gen end = year
> tempfile stats
> rolling _b N = e(N), window(7) recursive saving(`stats', replace) ///
>    : reg invest mvalue l.mvalue f.mvalue kstock mvaluesq
> merge 1:1 id end using `stats', nogenerate
> xtset id year, year
>
> * calculating error term *
> gen e = invest - (_b_cons + _b_mvalue*mvalue + _stat_2*l.mvalue ///
>    + _stat_3*f.mvalue + _b_kstock*kstock+_b_mvaluesq*mvaluesq)
>
> * end code *
>
> If we just check the data we'll notice that N starts with 6
> observations, which doesn't make sense... I must be missing
> something...
>
>
> Best wishes,
>
> Nuno
>
>
> Re: st: rolling and ts operators
>
> From      Richard Herron <richard.c.herron@gmail.com>
> To        statalist@hsphsun2.harvard.edu
> Subject   Re: st: rolling and ts operators
> Date      Mon, 24 Oct 2011 09:50:16 -0400
>
>  It may be easiest to think of -rolling- and -regress- in two steps.
> First -rolling- grabs a window of 7 observations and hands off these
> data to -regress-. Then -regress- regresses, but is only able to use 6
> of these observations because in the first window the lagged value
> isn't available.
>
> If you add -N = e(N)- to your -rolling- command you can see how many
> observations -regress- used.
>
> Also, there is no need to use loops with -rolling-; it is panel aware
> (at least in 11.2). The following should help with the -N = e(N)- bit.
>
> webuse grunfeld, clear
> rename company id
> keep if id == 2 // just a test firm
> xtset id year
> gen end = year
> tempfile stats
> rolling _b N = e(N), window(7) recursive saving(`stats', replace) ///
>    : reg invest mvalue l.mvalue f.mvalue kstock
> merge 1:1 id end using `stats', nogenerate
> xtset id year
>
> * calculating error term *
> gen e = invest - (_b_cons + _b_mvalue*mvalue + _stat_2*l.mvalue ///
>    + _stat_3*f.mvalue + _b_kstock*kstock)
>
>
>
> On 24 October 2011 13:52, Nuno Soares <ndsoares@gmail.com> wrote:
>> Hi everyone,
>>
>> I'm having a problem with the - rolling - command the the use of time
>> series operators. I need to estimate a model for several firms (id)
>> and several years in a rolling regression with a window of at least 7
>> years and the recursive option.
>>
>> The code I'm using is the following:
>>
>> use "test.dta", clear
>> keep if id==2 * just a test firm
>> xtset id year
>> gen end=year
>> tempfile stats
>> levelsof id, local(ids)
>> foreach id of local ids {
>>        cap rolling , window(7) recursive saving(`stats', replace): reg
>> depvar indepvar1 l.indepvar1 f.indepvar1 indepvar2 indepvar3 if
>> id==`id'
>>        cap merge 1:1 id end using "`stats'", update replace
>>        cap drop _merge
>> }
>> sort id year
>> xtset id year
>> * calculating error term *
>> gen e=depvar-(_b_cons+_b_indepvar1*indepvar1+_b_stat2*l.indepvar1+_b_stat3*f.indepvar1+_b_indepvar2*indepvar2+_b_indepvar3*indepvar3)
>>
>>
>> Given the l. operator I was expecting that Stata would use 8
>> observations given that the first l.indepvar1 would be missing an thus
>> it wouldn't have enough observations to estimate the first model with
>> only six observations (while the window option is set at 7,
>> restricting the sample to the first 7 observations would lead to have
>> only 6 eligible observations, and thus not enough data to estimate the
>> regression). This however isn't happening with Stata reporting
>> estimated coefficient starting from the first 7 observations. Any
>> clues on why this is happening?
>>
>> Best wishes,
>>
>> Nuno
>>
>
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