Tatyana Deryugina

The introduction of an academic paper is arguably more of an art than a science.

People have told me I’m optimistic about generative AI, in the sense that I don’t think it’s going to have a direct catastrophic impact on the labor market.

Some people think that, with the advent of generative AI, the era of human-generated knowledge is over or nearly over.

I have spent a lot of time thinking about how generative AI is changing the labor market and the skills my students and children (still 6+ years away from college) will need to succeed.

Generative AI is rapidly lowering the cost of producing academic research.

I don’t like making New Year’s resolutions, pretty much for the reasons that you might expect: if one wants to change something, it’s not a good idea to wait until the beginning of next year to do it.

Predictions that generative artificial intelligence will make universities obsolete are becoming a staple of today’s technology commentary.

There is a well-known anecdote suggesting that, aside from comparative advantage in trade, virtually all ideas in the social sciences are either false or trivial.

A challenge that every parent with more than one child faces at some point is how to split something (let’s say a giant piece of cake) between the children.

Most people who’ve been through an economics PhD course sequence have probably learned about the perils of controlling for potentially endogenous variables, the so-called “bad controls” problem.