Dear Joao Santos Silva and others,
I am currently trying to estimate a sectoral augmented gravity model using panel data, with standard trade cost proxies (distance, contiguity, common language, colonial ties) augmented with an additional variable that is varying at the destination-year level. When I try to estimate the gravity equation with
, unfortunately this variable gets omitted due to collinearity, which is unfortunate because it is my main variable of interest.
My question: Is there a way to work around this issue (by for example transforming the variable somehow or using other estimation techniques)?
Thank you in advance,
RP
I am currently trying to estimate a sectoral augmented gravity model using panel data, with standard trade cost proxies (distance, contiguity, common language, colonial ties) augmented with an additional variable that is varying at the destination-year level. When I try to estimate the gravity equation with
Code:
ppml_panel_sg
My question: Is there a way to work around this issue (by for example transforming the variable somehow or using other estimation techniques)?
Thank you in advance,
RP

Comment