Questions tagged [causalimpact]
CausalImpact is an R package for estimating the effect of an intervention on a time series. Use this tag for any on-topic question that (a) involves CausalImpact package either as a critical part of the question or expected answer, & (b) is not just about how to use CausalImpact.
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Meta-learner trained on matched data [closed]
I am trying to estimate the average treatment on the treated.
I have used propensity score matching first, to create the control and treatment groups.
I end up having quite small group sizes (1500 ...
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Can I use the Mean Squared Prediction Error to select the prior SD in a CausalImpact model?
I'm using the CausalImpact package (in R), and (as I expect is typical) the findings are very sensitive to the prior being used.
I have an OK understanding, I think, of what the prior is doing in this ...
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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 ...
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Causal Inference: Meta Learners usage
I have been running causal inference using Econ ML package on my data. I have a dataset containing customers divided into treatment and control and many other features. I run matching on those and ...
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can I use causalimpact (BSTS) to forecast without an intervention?
As a data scientist without much formal training, I'm looking to get some professional feedback on the following question:
Is it ever advisable to use causalimpact (or I guess BSTS generally) to ...
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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 ...
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Several python libraries for causal impact analysis based on R causal impact but which one should I use?
My question: I liked the Google causalimpact package in R and want to do the same work in Python. Which package should I use?
The very first library I saw is a port of Google's R causal impact package,...
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How to find ATE in panel data when only post treatment values are available?
I am working on a problem for understanding the impact of a customer acquisition strategy by a company. Here, the company has run a few strategies for acquiring customers, which are online ads, ...
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Causal inference - propensity score balancing sufficient for potential outcome balancing?
I am trying to make some causal inference estimates in a dataset and was hoping someone here could help me out with a question I have coming out of my background reading.
It seems that a very ...
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Causal inference on time-series data: is intervention needed?
I'm working on the topic of causal inference, I use time-series data. I have two scenarios in front of me and I don't understand the difference:
Given X and Y "time" features. I would like ...
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Controlling for Price Elasticity Bias in Causal Model
I am trying to study the treatment effect of lowering prices on sales (demand). My treatment includes 3 difference price points ($10, $12, $14) and sales is a continuous $ variable. All buyers have ...
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Intervention in pgmpy causal given evidence
The .query method in pgmpy computes the effect of one variable X on Y given evidence Z. I'm not sure Z is a set of observed covariates; if that is the case, isn't ...
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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 ...
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Is is possible to analyze the "aggregate" impact of multiple sequential interventions on a time series within the framework of CausalImpact?
Is there a way to analyze the "aggregate" impact of multiple sequential interventions on a time series within the framework of CausalImpact, using the same set of control variables (...
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Can the pre and post intervention periods be reversed in order in CausalImpact in R?
In CausalImpact library in R, usually the pre period is considered as the period where the campaign was inactive and the post period is considered as the period after the intervention of the campaign. ...
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