All Questions
8 questions
3
votes
1
answer
465
views
Resample from a sample to match a desired distribution
Suppose I have observations $x_1,\dots,x_n$, sampled iid from some distribution on $\mathbb{R}$, with pdf $p(x)$. Suppose I wish I had a sample from the distribution with pdf $q(x)$. Is there a way ...
2
votes
0
answers
63
views
Propensity-Score Matching - what's the best choice when matching?
I'm using matchit package to create a propensity match.
I'm trying to match control and treated with a 2:1 ratio in order to maximize the population and exclude ...
2
votes
1
answer
153
views
Balance diagnostics: Why not measure post-matching balance **within** matched treatment-control pairs?
I understand there are a number of techniques for evaluating post-matching balance at the covariate level: standardized mean difference (SMD), variance ratios, and empirical CDF statistics.
Are there ...
1
vote
0
answers
55
views
How can I understand ATT estimator for matching discrepancies in Causal Inference Mixtape?
While studying 'Causal Inference: Mixtape' by myself, something I didn't know happened.
link: https://mixtape.scunning.com/matching-and-subclassification.html#bias-correction
$\begin{align} \...
4
votes
1
answer
2k
views
Addressing the Ashenfelter’s dip
I am running a difference in difference (DiD) model on the effects of job-training on earnings. My data consists of a staggered adoption design whereby units receive treatment at different times, but ...
2
votes
1
answer
1k
views
Do propensity score matching methods need to factor in the index date in a matched cohort context?
I am working on a comparative effectiveness study where we estimated the propensity of treatment between two groups and are exploring matching on the propensity score. The study period is long, ...
4
votes
4
answers
923
views
How to match a biased sample to a population?
I have a sample of people which is biased in age, gender, geography. I am trying to measure various continuous outcomes out of them. I have the census data to tell me the reality of the population ...
9
votes
2
answers
16k
views
Overmatching bias and confounding variables
As I understand it, matching is one way to identify causality in observational studies. By matching observations that are "similar" and comparing ones that did or did not receive treatment, you can ...