Dylan Balla-Elliott
@dballaelliott.bsky.social
econ grad student at uchicago. labor + metrics: the cat's name is tycho.
👻 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!!
📈📉 🙃
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!!
📈📉 🙃
October 13, 2023 at 4:04 PM
👻 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!!
📈📉 🙃
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!!
📈📉 🙃
Ah well nevertheless
October 4, 2023 at 12:07 PM
Ah well nevertheless
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 ->
???
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 ->
???
October 3, 2023 at 10:05 PM
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 ->
???
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 ->
???
In an application, I estimate that the average partial effect is about 40% larger than the TSLS estimate. As theory predicts, this occurs because belief effects are close to zero for the group that updates the most (and thus has the largest TSLS weights).
September 25, 2023 at 5:41 PM
In an application, I estimate that the average partial effect is about 40% larger than the TSLS estimate. As theory predicts, this occurs because belief effects are close to zero for the group that updates the most (and thus has the largest TSLS weights).
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
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
September 25, 2023 at 5:40 PM
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
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