https://sites.google.com/view/pschneider/about-me
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/
www.aeaweb.org/conference/w...
As a result, valuable debate happens in secret, and the resulting paper is an opaque compromise with anonymous co-authors called referees.
1/
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
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
They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
#Econsky
#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
#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
This should tell you everything about where the research conversation has moved.
Macroeconomics: *maybe* people cannot deal with the fact that the entire cross sectional distribution is a state variable
Econ conference feed displays posts with #EconConf or #AEA, #2025AEA, #AEA2025, #AEA25 & similar for APPAM, ASHE, LERA, SEA, & SOLE. Displays posts from last 7 days.
Better than different feeds for each conference, each active just 1 week a year?
bsky.app/profile/aaro...
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?
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/
Maybe now that Guido is saying it, people will listen
files.constantcontact.com/668faa28001/...
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/
- Larry Wasserman #statsquotes
www.jstor.org/stable/26699...
- Larry Wasserman #statsquotes
www.jstor.org/stable/26699...