**New working paper** How does the under-representation of females in Economics affect the career trajectory of female Ph.D. students? Sahar Parsa and I look at this in a new working paper by exploring sabbatical leaves taken by female professors at top-50 US Econ departments.

Wow, excited to read the working paper. I’ve been considering making a course-specific GPT for the first year econ course I’ll be teaching next year, this is only adding fuel to that fire…

Lots of famous findings about human behavior are built on the results of economic games - tasks where participants allocate resources or make choices with different payoffs. A new study finds that up to 70% of participants don't understand the instructions of these games.

Heritability is one of the worst-named and least understood concepts in the sciences. People write about it like it's immutable. But if teachers are impatient with low-attention boys, the heritability of education goes up. Randomize access to good schools, heritability falls.

You earn excess returns at the horse track if you bet on trainers with non-white names, especially in the U.S. South and on long shot bets. Makes sense — ppl pick long shot bets based on names they like. Easy alpha: put your long shot bet on the trainer with the weirdest name.

Transgender and gender-diverse people report facing many problems while trying to vote.

Never been so happy to live in Canada

A PhD economist posting sexist and homophobic content on social media? Now where have I seen this before?

Grateful to have worked with these undergrad econ students on my forthcoming paper using AI-generated images to study discrimination against trans women & the role of “passing.” They helped collect the data, learned coding/analysis, and made this poster showcasing their work! 🌟

Confused about what inference method to use? What level to cluster at? Based on a review of thousands of published empirical studies, we develop a useful heuristic: a good approximation for your standard error is your point estimate divided by 1.96.

I’ve decided not to post my annual “women on the Econ job market” thread this year. Social media has splintered too much, and now that I’ve left academia I’m focused on other priorities. I hope someone else picks it up! It was super useful to have a reason to comb through the

So it turns out this is the raw data from the FIRE survey instead of the weighted data that would make it nationally representative of college students. Once the weights are applied it shows the opposite

Ban cell phones in every K-12 classroom in America.