Best of #econtwitter - Week of March 27, 2022 [1/2]
Welcome readers old and new to this week’s edition of Best of Econtwitter. Thanks to those sharing suggestions, over email or on Twitter @just_economics.
This is part one of two. Part two is here.
Paper summary threads

In applications of behavioral science to policy, magnitudes matter. Unfortunately, magnitudes are often exaggerated in academic research. ⬇️: Estimated effect on productivity from framing incentives as losses rather than gains is large in lab & just above zero in the field. [1/8]


🚨New WP🚨
Inertia is one of the best documented tendencies of consumers. People are passive.
But - are people aware of their future inertia?
[Somewhat]
And what does that awareness mean for companies?
[Exploitation backfires]
#EconTwitter
(w\ Navdeep Sahni and @klausmiller)

Can you guess what happens when you spend more $$$ on elementary schools?
...
Students are less likely to be arrested in adulthood as direct result.
Setting aside other benefits, society receives more than $1 in benefits for every $1 in government $$$.
nber.org/papers/w29855




This paper from @instrumenthull, @aislinnbohren and @alexoimas (BHI) very helpfully clarifies how to define discrimination, which is essential to interpret “taste” vs. “statistical” discrimination and other currently popular distinctions in econ.

Peter Hull @instrumenthull

This is one the papers I am most excited about!
Child labor statistics come from surveys with parents... who have no incentive to disclose that their children work! Using data from certification of cocoa production in Côte d'Ivoire, partly based on remote sensing, we find: 1/5


Research Square Preprints @RS_Preprints

The Clean Air Act has been an epochal success of the US regulatory state, often through channels that were not originally anticipated, though some components have worked less well: pubs.aeaweb.org/doi/pdfplus/10…

More: pretrial juvenile detention; race and commute times; multiple equilibria in macro; CTC; emigration and populism
Public goods

Coding for Economists now has guidance on writing papers, drawing on advice of many others inc @Claudia_Sahm, @marcfbellemare, @ckhead, @rskudesia, @MikeKaspari, & @DaveEvansPhD. Feedback welcome!
aeturrell.github.io/coding-for-eco…
#econtwitter #datascience #academicchatter @just_economics

Interesting discussions

Hey #econtwitter, I sat down and reflected on the job market.
I wanted to make something that was informative for future cohorts, so I put together this write-up ft: resources that helped me, data on my own experience, and advice/tips/intel.
thelittledataset.com/2022/03/21/job…
🧵 1/n

^every tweet in the thread could be in the newsletter

On applying:
Here are some AEA summary stats on apps & conversion to later stages (from an AEA webinar).
Applications will take a while. Give yourself time and space it out... says a person who did not do that. (Here's also a histogram of my job app submissions.)
8/n



Navigating offers:
- Tell places if you're facing an exploding offer!
- Decision-making is hyper personal. 💚 Do your best to give yourself + your fam time to sit on it.
- Fab negotiation video: youtube.com/watch?v=km2Hd_…
When do people take jobs? See the graph for AEA data.
13/n


As a final goodbye to this process, I’ll leave you with a visual representation of my job market months.
One of many graphs I would day dream about creating while I was submitting dozens of applications. 💚
n/n


Alex Albright @AllbriteAllday