Consistently bounding parameter values with one instrument and two endogenous explanatory variables
The current paper considers a linear regression framework with two endogenous regressors, but only one instrument that is correlated with both. I demonstrate that under reasonable conditions, some of which are testable from the data, these different sources of endogeneity act in opposing directions and hence IV regression can generate economically meaningful bounds.