Semiparametric varying coefficient models with endogenous covariates offer a flexible approach to analyzing data without being too limited by assumptions. These models strike a balance between fully nonparametric methods and rigid parametric ones, making them useful in practical applications. By considering continuous endogenous covariates in the estimation process, researchers have extended the reach of these models, making them even more powerful and versatile for analyzing complex data sets.