Semiparametric varying coefficient models with endogenous covariates offer a flexible and practical approach to analyzing complex data. These models strike a balance between rigid parametric methods and overly complex nonparametric ones, making them useful in real-world applications. By incorporating continuous endogenous covariates, researchers have extended the capabilities of these models, allowing for more accurate and insightful analysis of data.