Hello forum members,
i do have a multinomial logit model where one binary explanatory variable is endogenous (EEV) and I have a valid instrument to incorporate some exegenous variation. I am aware of solutions for the case of binary outcome variable and binary EEV, such as, e.g. bivariay probit models (see Wooldrige, 2010, p. 595 ff.) - which is conveniently implemented in Stata's biprobit function.
However, are you aware of any approach/solution for the case of categorical outcomes (e.g. multinomial logit) and binary EEV? [Any help is appreciated]
Refs.
Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data. MIT press.
i do have a multinomial logit model where one binary explanatory variable is endogenous (EEV) and I have a valid instrument to incorporate some exegenous variation. I am aware of solutions for the case of binary outcome variable and binary EEV, such as, e.g. bivariay probit models (see Wooldrige, 2010, p. 595 ff.) - which is conveniently implemented in Stata's biprobit function.
However, are you aware of any approach/solution for the case of categorical outcomes (e.g. multinomial logit) and binary EEV? [Any help is appreciated]
Refs.
Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data. MIT press.
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