Quantile regression with multiple proxy variables
Quantile regression with multiple proxy variables
Data integration has become increasingly popular owing to the availability of multiple data sources. This study considered quantile regression estimation when a key covariate had multiple proxies across several datasets. In a unified estimation procedure, the proposed method incorporates multiple proxies that have both linear and nonlinear relationships with the …