Kevin A. Bryan
@Afinetheorem
Assoc. Prof. of Strategic Management, University of Toronto Rotman School | Chief Economist, Creative Destruction Lab Toronto | Co-Founder, AllDayTA
The irony is that fans of the history of economic thought will know that parts of the econ faculty at U Cambridge have thought mainstream economics was the "Aeroflot of Ideas" since back when Robinson was writing pro Cultural Revolution books. So perhaps this is a compliment!
How economics teaching became the Aeroflot of ideas on.ft.com/4f1eivg | opinion
“Lawyers vs economics” is honestly a better summary of a lot of the factional divide than anything about ~populism~ we keep bumping up against the issue of should we assume that creating additional layers of legal process will lead to better outcomes.
Does anyone actually believe the marginal product of "people who know how to design a computer-aided task to improve productivity" is falling? Almost the opposite! Organizations that are smart should be hiring *a lot* more computer scientists. Caveat: not "coders".
I am getting tired from influencers with little to no tech industry experience to write stupid stuff like this for likes. As @simonw said: “Quitting programming as a career right now because of LLMs would be like quitting carpentry thanks to the invention of the table saw.”
Tragic. Qualitative, comparative, theoretically informed (or theory generating) work in economic history is foundational. e.g. I cannot imagine understanding the 20th century without Barry Eichengreen. The optimal amount of qualitative economic history is surely >20% of papers.
4/ 🧪 Methods: From Time Series to Causal Inference In 2000, 70% of papers used mostly descriptive time-series analysis. Now? It's <40%. Econometrics (IVs, DiD, panel models) are dominant. Machine learning & text mining are on the rise. Qualitative work? Nearly extinct.
Good overview from @stuartbuck1 on the chaos in science funding right now asteriskmag.com/issues/11/the-…