Instrumental variables quantile regression
Di Liu
Additional contact information
Di Liu: StataCorp LLC
Chinese Stata Conference 2023 from Stata Users Group
Abstract:
When we want to study the effects of covariates on the different quantiles of the outcome, we use quantile regression. However, the traditional quantile regression is inconsistent when a covariate is endogenous. We introduce the Stata command ivqregress, which models the quantiles of the outcome and, at the same time, controls for problems that arise from endogeneity. We show how to use the suite of IV quantile regresison to estimate, visualize, and infer features of the outcome distribution.
Date: 2024-10-02
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://repec.org/chin2023/China23_Liu_IVQ.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:chin23:07
Access Statistics for this paper
More papers in Chinese Stata Conference 2023 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().