4 ms·

I’m about to turn in my PhD dissertation for a PhD in one of the business disciplines. I’ve found this to be very common for academic researchers in finance and

I’m about to turn in my PhD dissertation for a PhD in one of the business disciplines. I’ve found this to be very common for academic researchers in finance and accounting. Most have no experience outside academia, and business silos itself. For instance, we have econometrics instead of statistics. Which means we have different terms for just about anything in statistics. And, through discussing my work with my sibling, who is an accomplished statistician, our cutting edge econometrics is usually 20+ years old statistics models that are all but abandoned by the rest of the world.

bonoboTP 7y ago
It's definitely an issue across many fields and I don't have any other explanation than pride and "confidence" issues. A similar thing is AI and stats which have only really converged in the 1990s and are still quite separate communities, or reinforcement learning and control theory which investigate overlapping issues from different angles but haven't communicated for a long time. Well then what holds someone back from learning state-of-the-art stats and making a name for themselves in econometrics?