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I'm working on a project on cross-national young gender gap that shows dif patterns. The below w ESS & CSES data show 1. Dif in ideology (id=standardized by country) btwn young men & women, where x is year & y is standard deviations 2. Young men & women ideology relative to other age-gender groups

Seva@seva.bsky.social

I've now seen four separate pieces accusing John Burn-Murdoch (Financial Times, you've seen his stuff before) of messing with his data on four separate occasions: 1. isitcredible.com/cases 2. unherd.com/newsroom/the... 3. github.com/James-Traina... 4. blog.albertkuo.me/post/2024-01...

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My main theory in the paper is about two aspects of labor markets having differential effects on young women & men & thus the gap between their politics. I have a control for the UN's gender inequality index but I haven't yet separately regressed the gender gap on this gender inequality -- I should!

excited to be presenting this work in progress, "Not All Young Men: Labor Market Structures and the Political Gender Gap among Young People," at a cool panel at EPSS in a few weeks

Yes it's self-IDed left-right (0-10), which I standardize within country. What I'm interested in comparing cross-nationally is the extent of the within-country gap, not the absolute left-right placements. I agree that those would be much harder to interpret as generalizing between dif countries

I get that anything else (.e.g BES al_scale/lr_scale) is rarely so widely available/it's own project to infer ... but I can't help but note that what the public view as Left/Right is - not unreasonably - dependent on what the major Left/Right parties are doing/positioning themselves at that moment.