The Distributional Heterogeneity of Growth Effects: Some Evidence

Brendan Cunningham ()

Manchester School, 2003, vol. 71, issue 4, 417-447

Abstract: This paper applies quantile regression and non‐parametric density estimation techniques to international data on long‐run economic growth. The approach reveals that previously identified drivers of growth vary in their impact across the conditional distribution of international growth. Specifically, these factors display disparate effects in conditional low‐growth and high‐growth contexts. The results suggest that there is a general bias underlying prior research. The incumbent drivers of growth exhibit relatively larger coefficients, in absolute value, on the upper tail of the conditional growth distribution. This set of stylized facts identifies factors that might alter the international distribution of growth.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://doi.org/10.1111/1467-9957.00354

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:bla:manchs:v:71:y:2003:i:4:p:417-447

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1463-6786

Access Statistics for this article

Manchester School is currently edited by Keith Blackburn

More articles in Manchester School from University of Manchester Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().