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Lectures in Quantitative Economics with Python [pdf]

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Re: Lectures in Quantitative Economics with Python [pdf]

#51
post #45

Earlier quoted context omitted.

Yes, I made it a topic as the term was used incorrectly. So I was pointing this out, as not to further this misconception. Is there any additional discussion on this topic needed?

Nope. Even the amount that was here wasn't needed.

What??? He was literally pointing out a misleading statement and correcting it.

Re: Lectures in Quantitative Economics with Python [pdf]

#52
post #47

Earlier quoted context omitted.

That matters, but I don't think that's happening until all of the big graduate-level metrics textbooks get R versions. And even then, at least a few papers are going to run into trouble with older reviewers who are used to seeing work done in Stata and don't trust anything else.

Yes, and it's also non-trivial to write R code that matches your textbook's answer if your textbook used Stata. You have to do things like look up which specific variant of the sandwich estimator Stata uses for robust standard errors, so you can tell R to match that. In Stata's defense: It helps that Stata is actually really good for the "running regressions" part. In particular, it gets robust standard errors right…

You don't even want to expense a Stata license. Stata is the worst thing I've ever had to use. Maybe as a person who can't program it makes sense, but as a professional developer almost everything about Stata is non-intuitive, confusing, and stupid. Also the only thing to go on is their stupid pdf manual. Finding real people on the internet who actually use it is almost impossible.
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