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For estimating weights in the Synthetic Control Method, what linear combination of the outcomes and symmetric matrix are used?

I am reading Synthetic Control Methods for Comparative Case Studies Paper, and on pg. 5 it states how to estimate Synthetic Control Weights. The following is a summary of the methods in the paper. I ...
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Synthetic Control - difference in data regarding the frequency

I am trying to make a small impact evaluation, using the synthetic control method. The outcome variable is a monthly time series, whereas a potential predictor variable is only available on the yearly ...
M.J.'s user avatar
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Is the treatment effect in the Synthetic Controls Method the ATE or the ATT?

In the Synthetic Controls Method, the treatment effect for a time $t$ is given to be the difference in outcomes for the treated unit and control unit, in the post-treatment period. In this regard, I ...
user321627's user avatar
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3 votes
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How to evaluate the impact of an intervention with no control group?

I launched a campaign where I give certain users 20% off. This was not launched as A/B test. I’m trying to figure out how to evaluate the incremental impact + ROI of the intervention given that it was ...
ibarbo's user avatar
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Unparallel pre-treatment trends in synthetic control method

I'm trying to run a synthetic control model, and have a general question. My data contains 201 localities over 9 years - 8 pre-treatment and 1 post-treatment. In the model, I include several socio-...
Eran's user avatar
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Synthetic Control using CausalPy

I am using CausalPy (https://causalpy.readthedocs.io/en/latest/) to implement synthetic controls for Bayesian Geo-Lift. Goal is to test a business initiative/feature (on website) in let's say 1 EU ...
Siddhartha Srivastava's user avatar
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asking for synthetic control method with multiples outcomes and multiple treated units stats command please

I am trying to do synthetic control method with 2 treated provinces, 10 non-treated provinces, and 7 outcomes. Can anyone let me know which stata command I can use?
Kimdung's user avatar
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Using residuals to estimate synthetic control weights

I would like to estimate weights using the synthetic control method (SCM), in particular using the synthdid package provided by Arkhangelsky et al. (2021) for R. Since I would like to include time-...
ansk's user avatar
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Synthetic Control (can be done iteratively?)

Let's say I want to test the effect of a treatment, and since seasonalities and other factors are too complicated to model I am using synthetic control. In order to be confident enough that the ...
GabyLP's user avatar
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1 answer
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Synthetic control when randomization fails

I'm curious what the broader statistics community thinks of synthetic control in the context of experimentation. In my work, we often have a low sample size (50-100 total randomization units.) And no ...
jbuddy_13's user avatar
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Forecasted counterfactual as quasi synthetic control

I’ve been curious about a synthetic control inspired design and wanted to get some feedback. Vanilla synthetic control: Takes a treatment group and a control group then infers some optimal weighting ...
jbuddy_13's user avatar
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Understanding the R package "gsynth

I am currently working with the R package "gsynth" based on the publication "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models" by Xu (...
Leo's user avatar
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What does extrapolation mean in the context of regression weights and what are its downsides?

In numerous articles I have read (Abadie 2021, Samii 2016, basically any Abadie piece that talks about the synthetic control method), the authors cite regression's reliance on extrapolation for ...
Brian Lookabaugh's user avatar
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0 answers
46 views

Tuning a Synthetic Control

I am working on a project that is seeking to use the synthetic control method to estimate the effect of Costa Rica's military abolition on levels of democracy (0-1 interval). I'll attach my code here ...
Brian Lookabaugh's user avatar
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Understanding Optimizer Options Using tidysynth

Under the generate_weights() command using the {tidysynth} package for executing the synthetic control method in R, users are given a number of optimization options. However, I cannot find ...
Brian Lookabaugh's user avatar
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0 answers
98 views

Using propensity score methods with multilevel time series data

I wanted to understand whether it would be feasible to use propensity score matching/weighting/stratification on my data. I'm investigating a region of the world where a number of countries joined an ...
David's user avatar
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1 answer
264 views

How to decide time duration for synthetic control

For A/B test, one can use power analysis to determine the duration of experiment to run. What about synthetic control method? Is there a way to determine the duration of experiments post intervention?
user377894's user avatar
3 votes
1 answer
611 views

Synthetic control, exogeneity of treatment, parallel trends assumption?

I am relatively new to methods for causal inference. So, please excuse my conceptual confusion. However, I have been looking into the synthetic control method first proposed by Abadie and Gardeazabal (...
Julie's user avatar
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Missingness in the Outcome and Predictor Variables Using a Synthetic Controls Design

I am working with a data set that has missing values in both the outcome (for both the treated and non-treated units) and the predictors. Overall, these missing values represent a small portion of all ...
Brian Lookabaugh's user avatar
5 votes
1 answer
69 views

Synthetic Controls - Comparing Two Treatments

All of the literature on synthetic control groups examines situations where 1 or more units receive a treatment and are compared to non-treated units. I am wondering if there is any statistical or ...
B_Miner's user avatar
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Synthetic control method with temporal gaps

I am running into a tricky issue with the execution of the synthetic control method for my data. For reference, my outcome data has an odd temporal gap (uniformly, across all units, no data is ...
Brian Lookabaugh's user avatar
1 vote
1 answer
101 views

Estimating a causal effect with the synthetic control unit using a synthetic treated unit

I know that the synthetic control method is used to estimate a causal effect by finding the difference in outcome between a real treated unit and a synthetic non-treated unit. However, I was wondering ...
Brian Lookabaugh's user avatar
1 vote
1 answer
209 views

Can you use a count outcome with the synthetic control method?

I am attempting to employ the synthetic control method (SCM) to analyze the causal impact of a UN peacekeeping operation (PKO) on post-conflict peace. I am operationalizing post-conflict peace as both ...
Brian Lookabaugh's user avatar
1 vote
0 answers
24 views

What is the difference bewteen "features" and "covariates" in the recent Syntetic Control (SC) literature?

I am reading Cattaneo, Feng & Titiunik (2021)'s JASA paper, "Prediction Intervals for Synthetic Control Methods" (here ungated) and have encountered a development of SC that I don't ...
Marti's user avatar
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Is Synthetic Control Method a nonparametric estimator?

I'm studying causal inference and I'm struggling to understand how to properly classify an estimator as nonparametric. My colleague argued that the Synthetic Control Method is an example of a ...
Oalvinegro's user avatar
2 votes
3 answers
550 views

Synthetic Control Method: Why average pre-treatment controls?

The help file of the `synth' package in Stata states that they average the value of each matching variables across the whole pre-treatment period. Why not match on the value of X in each pre-treatment ...
Papayapap's user avatar
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Using Synth, Gsynth or microsynth on IPUMS survey data [closed]

I am testing the impact of a policy in USA and I would like to use IPUMS data for all the states in the united states with 4 states experiencing the treatment in a particular year. I was thinking of ...
Ula's user avatar
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1 vote
1 answer
758 views

How to choose covariates for synthetic control

Trying to construct a synthetic control and I've chosen a set of covariates that are correlated with my outcome variable and significant for P>|t| using OLS. Is choosing covariates for synthetic ...
prismarine's user avatar
3 votes
0 answers
83 views

Difference in Difference with many treatment + control groups

All, would welcome some advice on how to model this! I've got a natural experiment whereby staff at 2 branches (of around 30) were given a new process around mid-year. So I have x thousand staff, ...
Crimsoneer's user avatar
1 vote
0 answers
68 views

power vs effect size u-shaped relationship

I'm running a simulation to assess what my minimum detectable effect size for a synthetic control study where the sample size is fixed and I'm noticing a strange relationship between power and effect ...
Brett's user avatar
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3 votes
1 answer
272 views

Assumptions behind Synthetic Control Methods

I am trying to estimate the impact of a minimum wage policy in a given region and I was initially thinking of only using a DiD design. However, I came across this causal inference post on synthetic ...
nesta13's user avatar
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2 answers
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Heteroscedasticity in synthetic control methods

A reviewer asked me: to what extent the empirical method (Syntethic Control Method) controls for potential heteroskedasticity problems according to the problem under analysis? The problem under ...
Michael Keller's user avatar
2 votes
2 answers
457 views

Constructing a synthetic control for dummies: how are the weights obtained?

In Abadie and Gardeazabal (2003), the authors describe a synthetic control as being a sum of weighted population values from non-exposed regions of Spain (i.e. regions which are not Basque Country). ...
Alexis's user avatar
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10 votes
2 answers
978 views

How can someone improve a synthetic control?

This is a broad question, I know, but I feel like it's ok to ask because I searched everywhere and I couldn't find the answer. So I was studying about synthetic control (here: https://matheusfacure....
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1 answer
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How to use causal inference to understand the impact of COVID-19 on different groups?

I'm experienced in data science but new to causal methods. I'm trying to figure out how to frame a question I want to investigate in a causal way. I'm interested in seeing if COVID-19 has impacted two ...
sellarsellar's user avatar
1 vote
0 answers
250 views

Creating a synthetic control with pooled cross-sectional data

Is there a way to create a synthetic control using pooled cross-sectional data, rather than a panel? I'm analyzing a staggered reform and, so far, the methods I've found require having a panel: Ben-...
luisdiego24's user avatar
2 votes
1 answer
1k views

Synthetic Control Assumptions

I have recently started looking into the synthetic control method, and found it quite appealing. But it seems as some issues do not receive a formal definition (or at least I haven't found one): ...
Tom Beer's user avatar
5 votes
1 answer
4k views

Synthetic Control Method difference between MSPE and RMSPE

I am using Synthetic Control Method to estimate the effect some policy had. Got results and everything but when started to discuss inference method and placebo tests I have hit the wall. I got the $\...
bajun65537's user avatar
1 vote
1 answer
148 views

Synthetic Control Weight Selection

I have implemented synthetic controls in two of my dissertation chapters. In a recent seminar, someone asked me a question I had never encountered. A cursory scan of the literature also seemingly does ...
JuliusBilly's user avatar