Since I became rather frustrated with my thesis and the whole process of propensity score matching… I thought, why not write about this so someone in the future could be less frustrated by the confusing amount of information out there!
But first, a picture to calm everyone and me down 😃
First, is to understand why do we even use propensity matching? In this article, the author did a great job illustrating the example and rationale 👍
Exploring propensity score matching and weighting
This post jots down some playing around with the pros, cons and limits of propensity score matching or weighting for…
Then, one can move onto the R programme (package: Matchit or Matching) to actually see a code example of R-perspective. They both have similar functions, I personally prefer Matchit for the abundance of materials that uses it. I will not go into the details of various matching types/methods because they are case-dependent, plus I am no expert on this 😣
MatchIt: Getting Started
Noah Greifer ( MatchIt implements the suggestions of Ho, Imai, King, and Stuart 2007) for improving parametric…
As pointed out, matching emphasises a lot on “assessing the balance”, in other words, how to know whether you have a “good match” compared to “not-matching”. The article below is quite clear on this, and I would just highlight the love plot section which is straightforward — push the white circles into the left-hand bounded line (see below).
Noah Greifer Covariate balance is the degree to which the distribution of covariates is similar across levels of the…
Lastly, one should be able to estimate the treatment effects.
Estimating Effects After Matching
Before an effect is estimated, the estimand must be specified and clarified. Although some aspects of the estimand…
If one prefers to watch a lengthy video, this is one of the most comprehensive findings of the video!
Anyways, hope this might help someone in need… I hope to be able to write up my thesis as well!
R-code for starting (just install these before starting)