  This paper considers the quantile regression model with both individual fixed
effect and time period effect for general spatial panel data. Instrumental
variable quantile regression estimators will be proposed. Asymptotic properties
of the proposed estimators will be developed. Simulations are conducted to
study the performance of the proposed method. We will illustrate our
methodologies using a cigarettes demand data set.
