Nothing like waking up to find out your colleagues have a WP out that makes you rethink the interpretation of one of your papers! We show that weaker work norms increase the likelihood of going on DI when times are tough, but worth thinking about where those norms come from:

Forgot to tag EconSky: 📈📉

Full paper here: www.dropbox.com/scl/fi/65r3g...

Papers can still be viable.

bsky.app/profile/remy...

That’s what TAs are for.

Could be. Effective ad in that case.

Maybe? I guess if they’re written in google docs? Never used the tool, but it seems promising.

Interesting thought. The big challenge there is that we don’t have the underlying farm-level data in almost any setting (except our Kansas analysis), so it would be challenging to test. But it’s an intriguing question!

Take a look at section 7, the wave-by-wave distributions & maps are there. Also highly concentrated.

I don’t have a strong prior about how gradually preferences vary in space. But I agree it’s a good idea to look at the estimation noise & make an educated attempt at smoothing based on it.

+ a MUCH smaller share of the population works in ag, so the population you can actually measure with the method shrinks dramatically.

In principal we could extend the estimates forward, but the more appropriate settings to apply this to are developing countries in the past or in the present day.

It’s less about the data per se (it’s actually improving over time), and more about the plausibility of using the parsimonious structural model to infer risk preferences from it. Starting with the new deal, the linkage b/w crop prices/yields and actual revenue becomes attenuated. 1/2

Good thoughts. The link with migration is very much on deck for future analyses.