A Bayesian analysis of parental education as instruments in estimating the return to schooling

Chenghan Hou, Xinping Tian and Si Wang

Applied Economics Letters, 2020, vol. 27, issue 2, 113-117

Abstract: Questions such as whether the instrumental variable (IV) estimates of return to schooling are sensitive to the violation of the exclusion restriction often draw empirical concerns. We employ a Bayesian method to compare the IV estimate using either mother’s or father’s education as an instrumental variable under different degree of violation of the exclusion restriction. We find that a moderate violation of the exclusion restriction does not have a substantial influence on the estimation results. Particularly, the IV estimate using mother’s education as an IV is more robust than that based on father’s education.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2019.1610695 (text/html)
Access to full text is restricted to subscribers.

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:taf:apeclt:v:27:y:2020:i:2:p:113-117

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2019.1610695

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().