brought to you by a morning of me slowing losing my mind

👻 Spooooky Stata fact

Stata by default uses *float* precision to store data and performs calculations in *double* precision, which means that:

gen x = 1.1
assert x. == 1.1
^^ this is false!!

📈📉 🙃

Good news is bad

One area of research in labor econ/urban econ in which I think there is a lot of potential for productive future research is in job chain models of local labor markets. #EconSky. For intro to potential of such models, see research.upjohn.org/up_press/25/

#econsky 📉📈 is there an (applied) example of a synthetic control paper that writes down a factor model for the outcome of interest?

Ah well nevertheless

"Worker Mobility in Production Networks" -- neat paper that brings together employer-employee data and firm-to-firm transactions to demonstrate the role played by production networks in shaping the job search and matching process. #EconSky 📈

🔗 steg.cepr.org/sites/defaul...

grad school so far:
I hope I can learn how to do good applied work ->
I guess I should learn how IV works so I can do good applied work ->
I guess I should learn how OLS works so I can do good applied work ->
I guess I should learn what a standard error is so I can do good applied work ->
???

hi #EconSky! 👋

I’m a third-year econ phd at uchicago studying behavioral development! I just recently returned from scoping work in Nigeria and Uganda investigating trust and family ties in firm decision making.

otherwise, I’m a proud Buffalo native, runner, and fan of electronic and folk music

New WP!! 📉📈

Information experiments are a powerful tool for understanding decision-making and isolating causal effects of beliefs.

But how should we think about TSLS in this setting? And why do TSLS estimates of belief effects sometimes seem too small? 🧵

dballaelliott.com/papers/info_iv

Hey!

I'm a grad student at uchicago econ -- I'm interested in wage setting (and labor more broadly) and causal inference!

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