Reducing the Asymptotic Bias of Weak Instruments Estimation Using Independently Repeated Cross-sectional Information

Zongwu Cai () and Ying Fang

No 2013-10-14, Working Papers from Wang Yanan Institute for Studies in Economics (WISE), Xiamen University

Abstract: We show that independently repeated cross-sectional data can reduce the asymptotic bias when instruments are weakly correlated to the endogenous variables. When both N and T go to infinite, we can obtain consistent estimators even if instruments are weak.

Keywords: Bias reduction; Weak instruments; Panel data. (search for similar items in EconPapers)
JEL-codes: C13 C33 (search for similar items in EconPapers)
Date: 2013-10-14
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published

Downloads: (external link)
https://econpub.xmu.edu.cn/research/repec/upload/200810231010537055475115776.pdf (application/pdf)

Related works:
Journal Article: Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information (2012)
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:wyi:wpaper:001999

Access Statistics for this paper

More papers in Working Papers from Wang Yanan Institute for Studies in Economics (WISE), Xiamen University
Bibliographic data for series maintained by WISE Technical Team ().