Comments (1)
Using Monte-Carlo simulations, I also found that in some cases synthdid with controls does not seem to work well. A short description of the issue and an alternative approach of dealing with control variables is described here:
https://github.com/skranz/xsynthdid/blob/main/paper/synthdid_with_covariates.pdf
See also the main page of corresponding xsynthdid
package for examples and installation instructions:
https://github.com/skranz/xsynthdid/
Perhaps that alternative approach might help.
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Related Issues (20)
- Code internal: deprecated use of if (class(estimates) == "synthdid_estimate")
- panel.matrices complains when treatment is stored as double instead of integer?
- Getting The treatment status should be in 0 or 1 error HOT 2
- Some confusion about a weight
- Multiple outcomes and panel.matrices
- error in synthdid_placebo HOT 2
- DID with a single control unit HOT 3
- synthdid_plot: adding headers? HOT 1
- Implementation in Stata HOT 3
- Extracting outcomes of synthetic controls in synthdid HOT 4
- Examining Treatment Heterogeneity HOT 1
- How to calculate se using bootstrap method HOT 2
- QUESTION: Adding covariets/controls HOT 9
- Question: How to include lambda weights manually?
- Question: how to add more fixed effects? HOT 1
- Question about weights HOT 1
- Retrieving estimated counterfactual outcome
- Removing arrow HOT 2
- Question about group specific control group HOT 4
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