Estimation of SEs for heteroscedastic and cross-sectionally correlated data
Chung-Ki Min
Applied Economics, 2010, vol. 42, issue 14, 1825-1832
Abstract:
This study develops SE estimators for heteroscedastic and cross-sectionally correlated data. The new estimators are a cross-sectional version of the White and Domowitz (1984) and Newey and West (1987) estimators, and therefore, consistent in the presence of heteroscedasticity and cross correlation of unknown form. Unlike the estimators in the literature, these estimators can control for cross correlation even for single-period cross-sectional data.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840701736172 (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:applec:v:42:y:2010:i:14:p:1825-1832
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840701736172
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().