An Analysis of Sample Selection Bias in Cross-Country Growth Regressions

Jayant Ray and Francisco Rivera-Batiz

MPRA Paper from University Library of Munich, Germany

Abstract: Sample sizes in cross-country growth regressions vary greatly, depending on data availability. But if the selected samples are not representative of the underlying population of nations in the world, ordinary least squares coefficients (OLS) may be biased. This paper re-examines the determinants of economic growth in cross-sectional samples of countries utilizing econometric techniques that take into account the selective nature of the samples.

Keywords: economic growth; sample selection bias; development economics (search for similar items in EconPapers)
JEL-codes: O1 O4 O47 (search for similar items in EconPapers)
Date: 2002-02-15
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/114753/1/MPRA_paper_114753.pdf original version (application/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:pra:mprapa:114753

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().