Weights option (as in gsynth)

[pbritteon]

Hi Yiqing and team

I know you have mentioned that you are still in the process of developing this package (which is great by the way)...

I was just wondering whether you planned to add a weights option (like you have in the gsynth command) so that you can calculate the weighted average effect of a policy across treated units with unequal population sizes (e.g. when your data is aggregated at an area level)?

Many thanks,
Phil

[xuyiqing]

That seems fairly easy to do. We'll write it down. Thank you so much, Phil!

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On Wed, May 26, 2021 at 9:14 AM pbritteon ***@***.***> wrote: Hi Yiqing and team I know you have mentioned that you are still in the process of developing this package (which is great by the way)... I was just wondering whether you planned to add a weights option (like you have in the gsynth command) so that you can calculate the weighted average effect of a policy across treated units with unequal population sizes (e.g. when your data is aggregated at an area level)? Many thanks, Phil — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#20>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB2PKGA2SUSGZTX442TMKODTPUM75ANCNFSM45SM3QSQ> .

[pbritteon]

Hi Yiqing

Just wondering whether you have had chance to add this feature since my last message? I am using gsynth in a project that requires weightings but would like to use fect to take advantage of its different features.

Many thanks,
Phil

[xuyiqing]

Thank you for the nudge! Ziyi, maybe we can incorporate this in this round of revision?

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On Tue, Jun 28, 2022 at 7:04 AM pbritteon ***@***.***> wrote: Hi Yiqing Just wondering whether you have had chance to add this feature since my last message? I am using gsynth in a project that requires weightings but would like to use fect to take advantage of its different features. Many thanks, Phil — Reply to this email directly, view it on GitHub <#20 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB2PKGEBURKP4RZJSKFQDWLVRMA63ANCNFSM45SM3QSQ> . You are receiving this because you commented.Message ID: ***@***.***>

-- Yiqing Xu Assistant Professor Department of Political Science Stanford University https://yiqingxu.org/

[bnglasner]

Just tagging on that it would be very helpful!

[xuyiqing]

Thank you. We're updating it now.

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On Tue, Aug 9, 2022 at 8:54 AM bnglasner ***@***.***> wrote: Just tagging on that it would be very helpful! — Reply to this email directly, view it on GitHub <#20 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB2PKGAT6IB7SUWGVKSPQJDVYJ5K7ANCNFSM45SM3QSQ> . You are receiving this because you commented.Message ID: ***@***.***>

-- Yiqing Xu Assistant Professor Department of Political Science Stanford University https://yiqingxu.org/

[jyl19]

Hi Yiqing,

Just wanted to tag along and say that adding in weights would be super helpful!

[xuyiqing]

Thanks for the nudge! Hi Ziyi, Will you have time to add it recently? Best, Yiqing

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On Tue, Nov 22, 2022 at 6:54 PM jyl19 ***@***.***> wrote: Hi Yiqing, Just wanted to tag along and say that adding in weights would be super helpful! — Reply to this email directly, view it on GitHub <#20 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB2PKGA7HWB7TFU6JBI4HJDWJWBNHANCNFSM45SM3QSQ> . You are receiving this because you commented.Message ID: ***@***.***>

-- Yiqing Xu Assistant Professor Department of Political Science Stanford University https://yiqingxu.org/

[bnglasner]

Hi,

I wanted to see if this had any updates. I am not seeing it in the most recent version.

Thanks!

[lzy318]

Sorry for the delay. Fect now incorporates the option "W" and you can specify the weight variable using that option. In visualization, you can use the command plot(out, weight = TRUE) to visualize the weighted dynamic treatment effects.