Economics at your fingertips  

Convergence: A Story of Quantiles and Spillovers

Philip Kostov and Julie Le Gallo ()

Kyklos, 2015, vol. 68, issue 4, 552-576

Abstract: type="main">

In this paper, we revisit the analysis of cross-country convergence by combining spatial econometrics and panel quantile regressions to estimate conditional β-convergence models. Moreover, we use both exogenous and endogenous weight matrices. Our results show that indeed the effects of initial per capita income, investment rate, population growth and human capital on growth rates vary considerably across the estimated quantiles. Convergence is not a generalized phenomenon across the conditional growth distribution. Moreover, while using exogenous spatial weight matrices does not substantially alter the findings found in a-spatial models, it appears that endogenous weights dramatically affect the estimates of the convergence process.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link) (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Convergence: A Story of Quantiles and Spillovers (2015)
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:

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0023-5962

Access Statistics for this article

Kyklos is currently edited by Rene L. Frey

More articles in Kyklos from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

Page updated 2021-01-11
Handle: RePEc:bla:kyklos:v:68:y:2015:i:4:p:552-576