We consider the estimation of unknown parameters in a generalized linear model when some covariates have nonignorable missing values. A pseudo likelihood approach similar to that in Tang et al. (2003) or Zhao and Shao (2014) can be applied by using an instrument, i.e., a covariate that helps identifying parameters under nonignorable missingness.