Advanced Search
Chapter search
Book cover: Advances in Econometrics

Advances in Econometrics

ISSN: 0731-9053
Series editor(s): Thomas B. Fomby, R. Carter Hill, Ivan Jeliazkov, Juan Carlos Escanciano, Eric Hillebrand, Daniel L.

Subject Area: Economics

Content: Series Volumes | icon: RSS Current Volume RSS

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Previous article.Icon: Print.Table of Contents.Next article.Icon: .

Document request:
A nonparametric quantile analysis of growth and governance

Document Information:
Title:A nonparametric quantile analysis of growth and governance
Author(s):Kim P. Huynh, David T. Jacho-Chávez
Volume:25 Editor(s): Qi Li, Jeffrey S. Racine ISBN: 978-1-84950-623-6 eISBN: 978-1-84950-624-3
Citation:Kim P. Huynh, David T. Jacho-Chávez (2009), A nonparametric quantile analysis of growth and governance, in Qi Li, Jeffrey S. Racine (ed.) Nonparametric Econometric Methods (Advances in Econometrics, Volume 25), Emerald Group Publishing Limited, pp.193-221
DOI:10.1108/S0731-9053(2009)0000025009 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Article type:Chapter Item
Abstract:Conventional wisdom dictates that there is a positive relationship between governance and growth. This article reexamines this empirical relationship using nonparametric quantile methods. We apply these methods on different levels of countries' growth and governance measures as defined in World Governance Indicators provided by the World Bank. We concentrate our analysis on three of the six measures: voice and accountability, political stability, and rule of law that were found to be significantly correlated with economic growth. To illustrate the nonparametric quantile analysis we use growth profile curves as a visual device. We find that the empirical relationship between voice and accountability, political stability, and growth are highly nonlinear at different quantiles. We also find heterogeneity in these effects across indicators, regions, time, and quantiles. These results are a cautionary tale to practitioners using parametric quantile methods.

Fulltext Options:



Existing customers: login
to access this document


- Forgot password?

- Athens/Institutional login



Downloadable; Printable; Owned
HTML, PDF (4541kb)

To purchase this item please login or register.


- Forgot password?

Recommend to your librarian

Complete and print this form to request this document from your librarian

Marked list

Bookmark & share

Reprints & permissions