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Can csdid2 (or csdid) use t-2 as baseline? #11

Open lilyxll opened 3 days ago

lilyxll commented 3 days ago

Hi,

In a sensitivity analysis (suggested by the reviewer), we should exclude t-1 as it can be noisy. In this case, can I use t-2 as the universal base?

Thank you,
Lili

friosavila commented 3 days ago

There is an option anticipation(#) You can use it to change base to t-2 using antici(2)

On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.***> wrote:

Hi,

In a sensitivity analysis (suggested by the reviewer), we should exclude t-1 as it can be noisy. In this case, can I use t-2 as the universal base?

Thank you, Lili

— Reply to this email directly, view it on GitHub https://github.com/friosavila/stpackages/issues/11, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI . You are receiving this because you are subscribed to this thread.Message ID: @.***>

friosavila commented 3 days ago

Actually antici(1)

On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @.***> wrote:

There is an option anticipation(#) You can use it to change base to t-2 using antici(2)

On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.***> wrote:

Hi,

In a sensitivity analysis (suggested by the reviewer), we should exclude t-1 as it can be noisy. In this case, can I use t-2 as the universal base?

Thank you, Lili

— Reply to this email directly, view it on GitHub https://github.com/friosavila/stpackages/issues/11, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI . You are receiving this because you are subscribed to this thread.Message ID: @.***>

lilyxll commented 3 days ago

Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @.> wrote: There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > — > Reply to this email directly, view it on GitHub > <#11>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI > . > You are receiving this because you are subscribed to this thread.Message > ID: @.***> >

Thank you so much for your quick reply!

is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually?

Thank you, Lili

friosavila commented 3 days ago

Yes the option is only available in csdid2. For csdid, the best you can do is modify your Gvariable gvar2 = gvar -1 replace gvar2 = 0 if gvar ==0

On Thu, Jun 27, 2024 at 10:30 AM lilyxll @.***> wrote:

Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @.

> wrote: … <#m-7284271404715529385> There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > —

Reply to this email directly, view it on GitHub > <#11 https://github.com/friosavila/stpackages/issues/11>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI . > You are receiving this because you are subscribed to this thread.Message > ID: @.***> >

Thank you so much for your quick reply!

is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually?

Thank you, Lili

— Reply to this email directly, view it on GitHub https://github.com/friosavila/stpackages/issues/11#issuecomment-2194885572, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI . You are receiving this because you commented.Message ID: @.***>

lilyxll commented 3 days ago

Yes the option is only available in csdid2. For csdid, the best you can do is modify your Gvariable gvar2 = gvar -1 replace gvar2 = 0 if gvar ==0 On Thu, Jun 27, 2024 at 10:30 AM lilyxll @.> wrote: Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @. > wrote: … <#m-7284271404715529385> There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > — > Reply to this email directly, view it on GitHub > <#11 <#11>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI > . > You are receiving this because you are subscribed to this thread.Message > ID: @.> > Thank you so much for your quick reply! is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually? Thank you, Lili — Reply to this email directly, view it on GitHub <#11 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI . You are receiving this because you commented.Message ID: @.***>

Thank you. I tried it with csdid2, it did change the reference year to t-2. When I run the code after excluding all data from t-1, it still gives an aggregated estimate for t-1, why is this happening?

Lili

friosavila commented 3 days ago

You do not need to exclude t-1.

On Thu, Jun 27, 2024 at 11:53 AM lilyxll @.***> wrote:

Yes the option is only available in csdid2. For csdid, the best you can do is modify your Gvariable gvar2 = gvar -1 replace gvar2 = 0 if gvar ==0 … <#m-3963715293816670842> On Thu, Jun 27, 2024 at 10:30 AM lilyxll @.*> wrote: Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @. > wrote: … <#m-7284271404715529385> There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > — > Reply to this email directly, view it on GitHub > <#11 https://github.com/friosavila/stpackages/issues/11 <#11 https://github.com/friosavila/stpackages/issues/11>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI

. > You are receiving this because you are subscribed to this thread.Message > ID: @.> > Thank you so much for your quick reply! is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually? Thank you, Lili — Reply to this email directly, view it on GitHub <#11 (comment) https://github.com/friosavila/stpackages/issues/11#issuecomment-2194885572>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI . You are receiving this because you commented.Message ID: @*.***>

Thank you. I tried it with csdid2, it did change the reference year to t-2. When I run the code after excluding all data from t-1, it still gives an aggregated estimate for t-1, why is this happening?

Lili

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lilyxll commented 3 days ago

You do not need to exclude t-1. On Thu, Jun 27, 2024 at 11:53 AM lilyxll @.> wrote: Yes the option is only available in csdid2. For csdid, the best you can do is modify your Gvariable gvar2 = gvar -1 replace gvar2 = 0 if gvar ==0 … <#m-3963715293816670842> On Thu, Jun 27, 2024 at 10:30 AM lilyxll @.> wrote: Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @. > wrote: … <#m-7284271404715529385> There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > — > Reply to this email directly, view it on GitHub > <#11 <#11> <#11 <#11>>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI > . > You are receiving this because you are subscribed to this thread.Message > ID: @.> > Thank you so much for your quick reply! is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually? Thank you, Lili — Reply to this email directly, view it on GitHub <#11 (comment) <#11 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI . You are receiving this because you commented.Message ID: @.> Thank you. I tried it with csdid2, it did change the reference year to t-2. When I run the code after excluding all data from t-1, it still gives an aggregated estimate for t-1, why is this happening? Lili — Reply to this email directly, view it on GitHub <#11 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFUHVK6TMKDULBKKSVLZJQYQLAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJVGA4DEMRSGQ . You are receiving this because you commented.Message ID: @.***>

Thank you.

I am curious that after I exclude t-1 data (or any other relative periods), csdid2 estimates still report t-1 aggregated ATT. May I ask why is that?

friosavila commented 3 days ago

Can you share a replicable example of what is what you did? Prefer if you could use the mpdta file from csdid example

On Fri, Jun 28, 2024 at 4:21 AM lilyxll @.***> wrote:

You do not need to exclude t-1. … <#m8229417390848427594> On Thu, Jun 27, 2024 at 11:53 AM lilyxll @.*> wrote: Yes the option is only available in csdid2. For csdid, the best you can do is modify your Gvariable gvar2 = gvar -1 replace gvar2 = 0 if gvar ==0 … <#m-3963715293816670842> On Thu, Jun 27, 2024 at 10:30 AM lilyxll @.> wrote: Actually antici(1) On Thu, Jun 27, 2024 at 10:24 AM Fernando Rios-Avila @. > wrote: … <#m-7284271404715529385> There is an option anticipation(#) You can use it to change base to t-2 using antici(2) On Thu, Jun 27, 2024 at 10:22 AM lilyxll @.> wrote: > Hi, > > In a sensitivity analysis (suggested by the reviewer), we should exclude > t-1 as it can be noisy. In this case, can I use t-2 as the universal base? > > Thank you, > Lili > > — > Reply to this email directly, view it on GitHub > <#11 https://github.com/friosavila/stpackages/issues/11 <#11 https://github.com/friosavila/stpackages/issues/11> <#11 https://github.com/friosavila/stpackages/issues/11 <#11 https://github.com/friosavila/stpackages/issues/11>>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI https://github.com/notifications/unsubscribe-auth/ASZKKFV6DGTSULB24LCSFTTZJQN37AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM3TQMZQHAYDSNI

. > You are receiving this because you are subscribed to this thread.Message > ID: @.> > Thank you so much for your quick reply! is it an option in csdid2? I tried it in csdid, it doesn't seem to do anything difference. do I still need to exclude data from t-1 manually? Thank you, Lili — Reply to this email directly, view it on GitHub <#11 https://github.com/friosavila/stpackages/issues/11 (comment) <#11 (comment) https://github.com/friosavila/stpackages/issues/11#issuecomment-2194885572>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI https://github.com/notifications/unsubscribe-auth/ASZKKFV6AOMSJJYANZ3HWJ3ZJQOZZAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJUHA4DKNJXGI . You are receiving this because you commented.Message ID: @.> Thank you. I tried it with csdid2, it did change the reference year to t-2. When I run the code after excluding all data from t-1, it still gives an aggregated estimate for t-1, why is this happening? Lili — Reply to this email directly, view it on GitHub <#11 (comment) https://github.com/friosavila/stpackages/issues/11#issuecomment-2195082224>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFUHVK6TMKDULBKKSVLZJQYQLAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJVGA4DEMRSGQ https://github.com/notifications/unsubscribe-auth/ASZKKFUHVK6TMKDULBKKSVLZJQYQLAVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJVGA4DEMRSGQ . You are receiving this because you commented.Message ID: @.>

Thank you.

I am curious that after I exclude t-1 data (or any other relative periods), csdid2 estimates still report t-1 aggregated ATT. May I ask why is that?

— Reply to this email directly, view it on GitHub https://github.com/friosavila/stpackages/issues/11#issuecomment-2196390252, or unsubscribe https://github.com/notifications/unsubscribe-auth/ASZKKFXZCP77RJYNWOBEPRLZJUMH7AVCNFSM6AAAAABKABO4SSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJWGM4TAMRVGI . You are receiving this because you commented.Message ID: @.***>

lilyxll commented 2 days ago
clear all 
use "https://friosavila.github.io/playingwithstata/drdid/mpdta.dta", clear

gen eventyr=first_treat-year if treat==1
tab eventyr, m

// eventyr | Freq. Percent Cum. // ------------+----------------------------------- // -3 | 20 0.80 0.80 // -2 | 20 0.80 1.60 // -1 | 60 2.40 4.00 // 0 | 191 7.64 11.64 // 1 | 191 7.64 19.28 // 2 | 171 6.84 26.12 // 3 | 171 6.84 32.96 // 4 | 131 5.24 38.20 // . | 1,545 61.80 100.00 // ------------+----------------------------------- // Total | 2,500 100.00

csdid2 lemp lpop , ivar(countyreal) time(year) gvar(first_treat) long2
estat simple 
estat event 

// ------------------------------------------------------------------------------ // | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // SimpleATT | -.0417518 .0115028 -3.63 0.000 -.0642969 -.0192066 // ------------------------------------------------------------------------------ // // ------------------------------------------------------------------------------ // | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // Pre_avg | .0188002 .0171693 1.09 0.274 -.014851 .0524515 // Post_avg | -.0803539 .0189576 -4.24 0.000 -.1175101 -.0431978 // tm4 | .0062963 .0245367 0.26 0.797 -.0417948 .0543873 // tm3 | .0268605 .0180998 1.48 0.138 -.0086145 .0623354 // tm2 | .023244 .0144851 1.60 0.109 -.0051463 .0516343 // tp0 | -.0210604 .0114942 -1.83 0.067 -.0435886 .0014679 // tp1 | -.0530032 .0163465 -3.24 0.001 -.0850417 -.0209647 // tp2 | -.1404483 .0353782 -3.97 0.000 -.2097882 -.0711084 // tp3 | -.1069039 .0328865 -3.25 0.001 -.1713602 -.0424476 // ------------------------------------------------------------------------------

*** Exclude data from t-1

csdid2 lemp lpop if eventyr!=-1, ivar(countyreal) time(year) gvar(first_treat) long2 antici(1)
estat simple 
estat event

// ----------------------------------------------------------------- // | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // SimpleATT | -.0341561 .0146241 -2.34 0.020 -.0628187 -.0054934 // ------------------------------------------------------------------------------ // ------------------------------------------------------------------------------ // | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // Pre_avg | -.0092674 .0145824 -0.64 0.525 -.0378484 .0193136 // Post_avg | -.0341561 .0146241 -2.34 0.020 -.0628187 -.0054934 // tm4 | -.0221512 .0188328 -1.18 0.240 -.0590628 .0147604 // tm3 | .0036165 .0129283 0.28 0.780 -.0217226 .0289555 // tm1 | -.023244 .0144851 -1.60 0.109 -.0516343 .0051463
// tp0 | -.0450682 .0172288 -2.62 0.009 -.078836 -.0113004 // ------------------------------------------------------------------------------

Question: if I have dropped data from t-1, why there is till estimate for tm1?

friosavila commented 2 days ago

Thank you So the reason is that your code is incorrect to estimate the event years you do gen event_year = year - gvar if gvar!=0

You did it the other way. HTH F

On Fri, Jun 28, 2024 at 7:06 AM lilyxll @.***> wrote:

clear all use "https://friosavila.github.io/playingwithstata/drdid/mpdta.dta", clear

gen eventyr=first_treat-year if treat==1 tab eventyr, m

// eventyr | Freq. Percent Cum. // ------------+----------------------------------- // -3 | 20 0.80 0.80 // -2 | 20 0.80 1.60 // -1 | 60 2.40 4.00 // 0 | 191 7.64 11.64 // 1 | 191 7.64 19.28 // 2 | 171 6.84 26.12 // 3 | 171 6.84 32.96 // 4 | 131 5.24 38.20 // . | 1,545 61.80 100.00 // ------------+----------------------------------- // Total | 2,500 100.00

csdid2 lemp lpop , ivar(countyreal) time(year) gvar(first_treat) long2 estat simple estat event

//

// | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // SimpleATT | -.0417518 .0115028 -3.63 0.000 -.0642969 -.0192066 //

// //

// | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // Pre_avg | .0188002 .0171693 1.09 0.274 -.014851 .0524515 // Post_avg | -.0803539 .0189576 -4.24 0.000 -.1175101 -.0431978 // tm4 | .0062963 .0245367 0.26 0.797 -.0417948 .0543873 // tm3 | .0268605 .0180998 1.48 0.138 -.0086145 .0623354 // tm2 | .023244 .0144851 1.60 0.109 -.0051463 .0516343 // tp0 | -.0210604 .0114942 -1.83 0.067 -.0435886 .0014679 // tp1 | -.0530032 .0163465 -3.24 0.001 -.0850417 -.0209647 // tp2 | -.1404483 .0353782 -3.97 0.000 -.2097882 -.0711084 // tp3 | -.1069039 .0328865 -3.25 0.001 -.1713602 -.0424476 //

*** Exclude data from t-1

csdid2 lemp lpop if eventyr!=-1, ivar(countyreal) time(year) gvar(first_treat) long2 antici(1) estat simple estat event

// ----------------------------------------------------------------- // | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // SimpleATT | -.0341561 .0146241 -2.34 0.020 -.0628187 -.0054934 //

//

// | Coefficient Std. err. z P>|z| [95% conf. interval] // -------------+---------------------------------------------------------------- // Pre_avg | -.0092674 .0145824 -0.64 0.525 -.0378484 .0193136 // Post_avg | -.0341561 .0146241 -2.34 0.020 -.0628187 -.0054934 // tm4 | -.0221512 .0188328 -1.18 0.240 -.0590628 .0147604 // tm3 | .0036165 .0129283 0.28 0.780 -.0217226 .0289555 // tm1 | -.023244 .0144851 -1.60 0.109 -.0516343 .0051463 // tp0 | -.0450682 .0172288 -2.62 0.009 -.078836 -.0113004 //

Question: if I have dropped data from t-1, why there is till estimate for tm1?

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lilyxll commented 1 hour ago

Ahhh... I was too careless. You are right. Thank you very much for your patient help!

Lili