https://deanyang-econ.github.io/deanyang
@philipshenon.bsky.social
#EconSky #Religion
@philipshenon.bsky.social
#EconSky #Religion
cep.lse.ac.uk/_new/events/...
#EconSky #Ramayan
cep.lse.ac.uk/_new/events/...
#EconSky #Ramayan
Happy that both Eduardo and JD started this work while they were at @umich!
Happy that both Eduardo and JD started this work while they were at @umich!
We rule out pre-trends and military service effects.
The results hold after controlling for time trends associated with geographic & pre-war economic conditions.
We rule out pre-trends and military service effects.
The results hold after controlling for time trends associated with geographic & pre-war economic conditions.
We combine WWII procurement data (a unique resource!) with Indian Census data (1911-2011), digitizing district-level employment records.
Our causal approach: a shift-share design based on pre-war industrial structure.
We combine WWII procurement data (a unique resource!) with Indian Census data (1911-2011), digitizing district-level employment records.
Our causal approach: a shift-share design based on pre-war industrial structure.