xuyiqing
commented
3 years ago Licheng, could you look into it and explain to Yafee what's going on?
Dear Yafee, for your application, we actually have a better method https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3649226 that adopts the Bayesian approach. We plan to release the package on R very soon.
On Thu, Sep 24, 2020 at 12:40 AM yafs123 notifications@github.com wrote:
Hi Yiqing,
Thanks for making such a fantastic package.
I am running an experiment with only 1 treated unit (N_tr = 1) and 38 units in the control group (N_co = 38). The dataset is unbalanced. I have completed the tutorial you have uploaded on your website. ( http://yiqingxu.org/software/gsynth/gsynth_examples.html). It seems like "gsynth" can handle unbalanced panel dataset by using the EM algorithm. My question is related to the output of "gsynth". The output only shows NA values in the missing rows. To be precise, the algorithm did not estimate ATT where missing values exists. I thought that the EM algorithm would fill in missing values. You can find the example code below.
Best regards, Yafee
##################### Code
#####################
library(gsynth) library(data.table) Datasets
data(gsynth) names(turnout) Set seed
set.seed(123456) Remove rows
turnout.ub <- turnout[-c(which(turnout$abb=="WY")[1:15], sample(1:nrow(turnout),50,replace=FALSE)),] Overview of missing values
panelView(turnout ~ policy_edr + policy_mail_in + policy_motor, data = turnout.ub, index = c("abb","year"), pre.post = TRUE) Transform to data.table object
setDT(turnout.ub) Remove all treated units without ID
turnout.ub <- turnout.ub[!(abb %in% c("CT","IA","ME","MN","MT","NH","WI","WY"))] Run gsynth
out <- gsynth(turnout ~ policy_edr + policy_mail_in + policy_motor, data = turnout.ub, index = c("abb","year"), se = TRUE, inference = "parametric", r = c(0, 5), CV = TRUE, force = "two-way", EM = TRUE, parallel = TRUE, min.T0 = 8, nboots = 1000, seed = 02139) print results
out
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-- Yiqing Xu
Assistant Professor Department of Political Science Stanford University http://yiqingxu.org/
Hi Yiqing,
Thanks for making such a fantastic package.
I am running an experiment with only 1 treated unit (N_tr = 1) and 38 units in the control group (N_co = 38). The dataset is unbalanced. I have completed the tutorial you have uploaded on your website. (http://yiqingxu.org/software/gsynth/gsynth_examples.html). It seems like "gsynth" can handle unbalanced panel dataset by using the EM algorithm. My question is related to the output of "gsynth". The output only shows NA values in the missing rows. To be precise, the algorithm did not estimate ATT where missing values exists. I thought that the EM algorithm would fill in missing values. You can find the example code below.
Best regards, Yafee
#####################
Code
#####################
library(gsynth) library(data.table)
Datasets
data(gsynth) names(turnout)
Set seed
set.seed(123456)
Remove rows
turnout.ub <- turnout[-c(which(turnout$abb=="WY")[1:15], sample(1:nrow(turnout),50,replace=FALSE)),]
Overview of missing values
panelView(turnout ~ policy_edr + policy_mail_in + policy_motor, data = turnout.ub, index = c("abb","year"), pre.post = TRUE)
Transform to data.table object
setDT(turnout.ub)
Remove all treated units without ID
turnout.ub <- turnout.ub[!(abb %in% c("CT","IA","ME","MN","MT","NH","WI","WY"))]
Run gsynth
out <- gsynth(turnout ~ policy_edr + policy_mail_in + policy_motor, data = turnout.ub,
index = c("abb","year"), se = TRUE, inference = "parametric", r = c(0, 5), CV = TRUE, force = "two-way", EM = TRUE, parallel = TRUE, min.T0 = 8, nboots = 1000, seed = 02139)
print results
out