Best of #econtwitter - Week of October 2, 2022 [2/2]

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.

This is part two of two.

Paper summaries

Esther Chevrot-Bianco @estherbianc

We collect data in Greenland, where, due to historical reasons, traditional and modern market economies coexist within villages➡️ We can study the relationship between market participation and moral behavior in a single cultural and political environment. (4/N)

Esther Chevrot-Bianco @estherbianc

First, market participation is positively associated with moral behavior towards anonymous others: market-integrated participants cheat anonymous others less on average. (6/N)

Hallgeir Sjåstad @H_Sjastad

1/2: According to a new study (N=11k; 5 countries), left-right political ideology is to some degree a question of moral universalism: "The extent to which people exhibit the same level of altruism and trust towards strangers as towards in-group members." restud.com/paper/moral-un…

Davis Kedrosky @dkedrosky

Are autocracies better at delivering on growth promises? Not really—a new paper soon out in the JPE argues that the GDP stats are very extremely fake.

^“chart is from the Economist which has better graphics people than your average academic.”

Brian Albrecht @BrianCAlbrecht

Are markups (in manufacturing) rising? Foster, Haltiwanger, and Tuttle argue no, once you all plant level heterogeneity in technology. Their estimates are in red. I’ve tweeted before but happy to see the NBER draft out so the discussion can begin. nber.org/papers/w30491

Adam Shapiro @adamshap5

In an interview with @kairyssdal, Powell stated “What [the Fed] can control is demand, we can’t really affect supply with our policies” In a new paper I show that this is, to some extent, true: frbsf.org/wp-content/upl…

Andrew Chen @achenfinance

@TomZ_Econ and I just finished a review of “Publication Bias in Asset Pricing Research.” (arxiv.org/pdf/2209.13623…). Rather than list methods, @JohnHCochrane's reviews inspired us to focus on stylized facts. Here are 4 facts from meta-studies of hundreds of market anomalies 🧵

Alvaro Ortiz | BBVA Research & IE Business School @alvaroortiz1968

Beyond Cards by @BBVAResearch (Thread🧵)➡️1st Real-Time Consumption indicator to use "all" (not only cards) ➡️HD:1st Consumption Distribution accounts 👇bit.ly/3dJo6iE @glviolante @COdendahl @ChristianKWolf @ben_moll @MortenORavn @FlorinBilbiie @NunoGalo @_LukasFreund_

More: QE price impacts; low interest rate trilemma; TikTok supply curves; inflation; race/gender issues in entrepreneurship; ambiguity in strategic environments; de-prosecution

Interesting discussions

Jim Savage @abiylfoyp

I do a lot of work on science of selection. I've also sat on a lot of selection panels (hiring, scholarships, grantmaking, contracting etc). Someone asked me for my "rules of thumb of selection". Here's a thread!

Ricardo Reis @R2Rsquared

*** The original sin of QE (and QT) QE policies, adopted by the most central banks in the last 15 years, suffered from a sin at birth. This came back to bite this Thursday in the UK. Confusingly, there are three distinct policies that go under the name of QE. 🧵 [1/15]

Jeffrey Ely @Jeffely

You give a True/False exam with 100 questions and one student gets every single question wrong. What grade do you give?

Jennifer Doleac @jenniferdoleac

It's almost time for my annual "women on the econ job market thread"(!!). A few tips for (all) JMCs who want their work elevated on this bird site: (1) Have your own website! Here is a guide to building a good one:

Bakz T. Future 🇨🇦 @bakztfuture

1. Transcribe your online lecture with OpenAI whisper 2. Summarize your transcription with GPT-3 in simple terms 3. Ask GPT-3 follow up questions to improve your understanding 4. Have GPT-3 generate homework questions to test and evaluate your understanding of the topic at hand