Patrick Schneider
@pschneider.bsky.social
Labor, Organizations, and (Field) Experiments | Postdoc @UniKonstanz studying how social environments shape economic decisions, preferences, and norms. https://sites.google.com/view/pschneider/about-me
Remember the "Highlights" that some Elsevier journals require? Dean Karlan and friends developed an amazing way to troll them: haikus!
A super cool paper got an update and it is pretty striking that the conclusion got even more support. A great thread by one of the authors.
We recently added several analyses to our paper on the employment effects of a $1000/month guaranteed income. 🚨 These new analyses include, for the first time, administrative data on income and employment and results for marriage/ divorce and benefits, among other outcomes. Read on for results! 1/
Just watched the whole 2h. Highly recommended to all who are interested in Experimental Economics.
For those who want to jump to the frontier in select areas of economics, the AEA has posted the webcasts of this year’s continuing lectures. Thanks much to @lawrencekatz.bsky.social for his leadership and vision in assembling these lectures. www.aeaweb.org/conference/w...
Empirical evidence sometimes will change your mind. This paper did, for me. With Alicia De Quinto, we studied the long-term effects of a policy that allowed parents to work part-time until their youngest child turned 6. Many women took it up. I thought (1/3) doi.org/10.1016/j.la...
Redirecting
doi.org
I fully agree with Ben and hope we will see a change.
In economics, editors, referees, and authors often behave as if a published paper should reflect some kind of authoritative consensus. As a result, valuable debate happens in secret, and the resulting paper is an opaque compromise with anonymous co-authors called referees. 1/
🚨 Christmas WP Alert 🚨 New study explores the causal impact of correcting misperceived gender norms on mothers' employment attitudes and expectations. Using a field experiment with German mothers of young children, we find three key results: 📄👇 #EconSky
I guess (field) experiments will be spared from this. At least for a while.
Researchers used AI to generate 288 complete academic finance papers predicting stock returns, complete with plausible theoretical frameworks & citations. Each paper looks and reads as legit. They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
I could use some advice! I don’t often write recommendation letters for German students applying to PhD programmes in the US. Any tips, things to watch out for, or resources you’d recommend? #Econsky
📣📣📣 #EconSky Inspired by @tapiorasanen.bsky.social, here is a starter pack for economists conducting field experiments 🤓🫶 Please let me know who is missing – and share widely! 🚀 go.bsky.app/9hev4gN
Super cool JMP and given its results one can only imagine what Internet access does to women's empowerment.
Gender norms are extremely persistent and constrain women's life opportunities, especially so in poor countries. In my Job Market Paper, I show that grassroots media are an effective policy instrument to address gender norms at scale. #EconJMP #EconSky
Periodic reminder that my BibTeX Converter allows you to simply copy a screenshot of the journal website and get a perfectly formatted BibTeX entry chatgpt.com/g/g-4edrlrF3...
Very good question and a lot of insightful answers.
Question about std errors: In an RCT, treated people are randomly assigned to "pods" and interact (e.g., treatment = WhatsApp group membership). The norm (e.g. Cai-Szeidl) is to cluster on indiv for control group + on pod for treatment group. Why is clustering needed if any ICC is due to treatment?
Ok guys here's the point. Diff in Diff is a model based assumption that identifies the ATT (unless you're using random timing of rollouts, but almost noone is). It is model-based because you make assumptions to identify the OUTCOME MODEL in the *absence* of the treatment. 1/
DDDiD: Don't do difference in differences (w obs data). DiD is a (bad) weighting estimator and is almost always strictly dominated by better ones Maybe now that Guido is saying it, people will listen files.constantcontact.com/668faa28001/...
In economics he would be on Round 4 of his Econometrica R&R for his job market paper, being urged to more comprehensively integrate the perspectives of his critics.
"There are two types of statisticians: those who do causal inference and those who lie about it." - Larry Wasserman #statsquotes www.jstor.org/stable/26699...
There is a new feature to show some posts from other feeds in your following feed. 📈📉
I’m a Postdoc @UniKonstanz, currently visiting UniChicago. I work on gender norms, labor supply, discrimination, and school closures. If you're working on any of these areas, let me know so that I can follow you. If you're in Chicago and interested in grabbing coffee, please get in touch. #Econsky