Personality predicts earnings and wealth. But does it cause them? That is hard to answer: personality is correlated with family background and much else. In our new working paper, we use the randomness of genetic inheritance to get closer to a causal answer. 1/12
Genetic effects depend on context and may operate through behavioral and environmental pathways. Results do not imply that economic outcomes are predetermined. 11/12
Joint work with @AltenSjoerd, @SilviaHBarcell1, Stephen Dorn, @GalamaTitus, Catharina A. Hartman, @Q_StatGen and @DilyaMuslimova. Read the paper: arxiv.org/abs/2610.06088 12/12
Leandro Carvalho retweeted
I'm currently reading a difficult-to-navigate introduction of an economics paper.
I admit that I appreciate it when papers follow this simple formula cgdev.org/blog/how-write-int….
Leandro Carvalho retweeted
I’ve handled the review of > 1000 papers at @nature. Over time, you notice aspects of presentation on which reviewers tend to comment. In the interests of minimizing hassles during review, I offer the following suggestions (a bit targeted to climate papers).
Leandro Carvalho retweeted
I guess I would have assumed that economists would feel more comfortable on twitter now that no one is reading what they write.
Leandro Carvalho retweeted
New in @JAMANeuro w/ @JonSkinner17 Kathleen McGarry @lhnicholas @akelleymd and others:
US older adults at high risk of #dementia had a median #wealth decline of ~50% in the decade prior to dementia onset compared to matched controls w/o dementia. (1/n)
tinyurl.com/3a6f64ds
Leandro Carvalho retweeted
Me discovering Stata 18 supports vce(robust) for sureg: 😀
Me discovering Stata 18 still doesn’t allow vce(uncond) with vce(hac nw lag): 😒
Me trying to help undergrads debug their R code because they don’t want to use Stata: 🤯
Leandro Carvalho retweeted
🎉Our study has come out online @CellGenomics ! We summarized the key findings in a previous 🧵: xitter.cf/yingWANGyw1/status/160…. We then distilled a few general practices for constructing PRS in minority populations while harnessing the increasing diversity: 1/6
Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology dlvr.it/Sw9Jl3
Leandro Carvalho retweeted
Out today in Behavioral and Brain Sciences, @DamienMorris, @StuartJRitchie, and my response to @callie_h_burt's critique of the use of genetic predictors in social science research: doi.org/10.1017/S0140525X220….
We conclude: Burt is correct that social scientists should include appropriate caveats when incorporating PGSs into their work and take efforts to control for environmental confounding. But for the reasons outlined above, they should also support ongoing scientific endeavors to improve this technology. They should not – as Burt does – use tractable limitations of research incorporating PGSs as a pretext to obstruct progress or to excuse genetic confounding in social science research.