Instrumental Variable Quantile Estimation of Spatial Autoregressive Models
We propose a spatial quantile autoregression (SQAR) model, which allows cross-sectional dependence among the responses, unknown heteroscedasticity in the disturbances, and heterogeneous impacts of covariates on different points (quantiles) of a response distribution. The instrumental variable quantil...
Saved in:
Main Authors: | SU, Liangjun, YANG, Zhenlin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/1074 https://ink.library.smu.edu.sg/context/soe_research/article/2073/viewcontent/Instrumental_Variable_Quantile_Estimation_2011_wp.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Instrumental Variable Quantile Estimation of Spatial Autoregressive Models
by: YANG, Zhenlin
Published: (2007) -
Specification test for spatial autoregressive models
by: SU, Liangjun, et al.
Published: (2017) -
Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models
by: SU, Liangjun, et al.
Published: (2010) -
Semiparametric GMM Estimation of Spatial Autoregressive Models
by: SU, Liangjun
Published: (2012) -
Hedonic house prices and spatial quantile regression
by: Liao, W.-C., et al.
Published: (2013)