Quantile regression for general spatial panel data models with fixed effects
Xiaowen Dai,
Zhen Yan,
Maozai Tian and
ManLai Tang
Journal of Applied Statistics, 2020, vol. 47, issue 1, 45-60
Abstract:
This paper considers the quantile regression model with both individual fixed effect and time period effect for general spatial panel data. Fixed effects quantile regression estimators based on instrumental variable method 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.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:47:y:2020:i:1:p:45-60
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DOI: 10.1080/02664763.2019.1628190
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