https://macartan.github.io/
Politics, conflict, inequality, political economy of development, causal inference
Come along if you're in town!
@tcdeconomics.bsky.social @tcdpoliticalsci.bsky.social @tcddublin.bsky.social
Come along if you're in town!
@tcdeconomics.bsky.social @tcdpoliticalsci.bsky.social @tcddublin.bsky.social
If you go to the join page you will see the option to gave memberships honored
If you go to the join page you will see the option to gave memberships honored
looking for fresh ideas for open science, design, aggregation, transfer..
Pass it on
Deadline 31 October
looking for fresh ideas for open science, design, aggregation, transfer..
Pass it on
Deadline 31 October
www.nytimes.com/2025/03/12/w...
But see @drodrik.bsky.social www.project-syndicate.org/commentary/t...
on why this may be unwise
He puts it so well
www.nytimes.com/2025/03/12/w...
But see @drodrik.bsky.social www.project-syndicate.org/commentary/t...
on why this may be unwise
He puts it so well
Continuous treatment randomly assigned; nonlinear effects
The “average effect” of X on Y is +1 but the OLS estimate is -1. Dang.
So should estimand be blp or ate or none of the above?
macartan.github.io/assets/htmls...
Continuous treatment randomly assigned; nonlinear effects
The “average effect” of X on Y is +1 but the OLS estimate is -1. Dang.
So should estimand be blp or ate or none of the above?
macartan.github.io/assets/htmls...
See here: integrated-inferences.github.io for links to:
* The book plus open access version (thanks Cambridge!)
* Accompanying R package on CRAN: CausalQueries
1/4
See here: integrated-inferences.github.io for links to:
* The book plus open access version (thanks Cambridge!)
* Accompanying R package on CRAN: CausalQueries
1/4