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This paper considers the quantile regression model with both individual fixedeffect and time period effect for general spatial panel data. Instrumentalvariable quantile regression estimators will be proposed. Asymptotic propertiesof the proposed estimators will be developed. Simulations are conducted tostudy the performance of the proposed method. We will illustrate ourmethodologies using a cigarettes demand data set.

Quantile Regression for General Spatial Panel Data Models with Fixed Effects