Best of #econtwitter - Week of January 29, 2023: interesting tweets
Welcome readers old and new to this week’s edition of Best of Econtwitter. Please submit suggestions — very much including your own work! — over email or on Twitter @just_economics.
Public goods
DATABASE WITH AUTOMATIC STATA REPRODUCTIONS IN ECONOMICS
Here you can find economic articles with data and many automatically performed reproductions of the Stata code:
ejd.econ.mathematik.uni-ulm.de
More info on my blog post:
skranz.github.io/r/2023/01/23/F…
@AeaData #EconTwitter
Excited about this new package! To give a sense of the growing Python IO ecosystem, pyRVtest depends on PyBLP, which in turn depends on PyHDFE (github.com/jeffgortmaker/…), a package for high dimensional fixed effect absorption, also created by @anya_tarascina and me. 1/3
Lorenzo Magnolfi @lore_magno
Already a fan of this paper, and the package looks awesome. If I didn't hate Python with such a passion I would be stacking everything onto PyBLP like this. What excites me about this type of work, and why I'm trying to make lots of small packages, is that /
Lorenzo Magnolfi @lore_magno
Here are the full materials for my data-science-in-economics course, for anyone who might benefit
The idea is to explicitly teach skills/tools that otherwise are only gained through RA experiences. Help level the playing field for research/PhDs/predocs
Interesting discussions
🚨 Tips for writing a POSITIVE referee report.
As an author and an editor, I’ve noticed some reviewers are better than others at writing a positive referee report. So, I decided to share 3 simple tips in the thread below. 👇
#EconTwitter
A busy month of refereeing, luckily with papers that I am really enjoying reading.
Inspired by @pereztruglia’s thoughtful notes, here are some heuristics I use while refereeing.
Over 7 years as (Managing) Editor of the Review of Finance, I had to reject 1,000 papers given our increase in standards. "Lessons From 1,000 Rejections" aims to use them constructively by distilling common reasons for rejection to guide future research.
@aedmans Interesting and useful article. I am glad that you try to edit out misleading, pointless, and irrelevant citations. Sadly most editors are not like that and authors jam articles with citations to please everyone. Is there any hope for a better equilibrium?
A lot of yesses here.
In academia, the now standard balance advice (that overworking isn't worth it) risks misleading the naive.
For most, giving up some balance for a time is *necessary* for big successes. Balance conversations are dishonest if they don't acknowledge this.
Amanda Goetz @AmandaMGoetz
I can't help but feel it's a huge loss to the economics profession that we now have a high bar for the PhD stage.
Bob Lucas did a BA in History and became an econ grad student partly due to his interest in history. Can't imagine a grad student taking that path today
ChatGPT
I gave ChatGPT my upcoming principles of micro midterm and it got 63% (typical actual-student score around 80% or a touch lower)
^thread
Why does chatGPT make up fake academic papers?
By now, we know that the chatbot notoriously invents fake academic references. E.g. its answer to the most cited economics paper is completely made-up (see image).
But why? And how does it make them? A THREAD (1/n) 🧵
Fin
I'm taking "Real Analysis, Convexity, and Optimization" through Harvard's Extension School this semester and in the first lecture the prof says that the course used to be called "Convexity and Optimization w/ Applications" but Econ grad adcoms want to see a course with ... 1/