Identification of quantile regression models with endogeneity
Qian Wang
Economics Letters, 2025, vol. 254, issue C
Abstract:
The instrumental variables approach is a standard practice to address endogeneity, while it is often challenging to obtain valid and strong instruments in many empirical studies. This paper considers a linear simultaneous triangular system of quantile regressions in the absence of instruments. We establish identification results for this model by leveraging copula of the latent error terms to characterize their dependence structure.
Keywords: Copula; Endogeneity; Quantile regression (search for similar items in EconPapers)
JEL-codes: C14 C31 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176525002368
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:254:y:2025:i:c:s0165176525002368
DOI: 10.1016/j.econlet.2025.112399
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().