Growth Empirics without Parameters

Daniel J. Henderson, Chris Papageorgiou, Christopher F. Parmeter

Research output: Contribution to journalArticle

62 Scopus citations

Abstract

Recent research on growth empirics has focused on resolving model and variable uncertainty. The conventional approach has been to assume a linear growth process and then to proceed with investigating the relevant variables that determine cross-country growth. This article questions the linearity assumption underlying the vast majority of such research and uses recently developed non-parametric techniques to handle non-linearities as well as select relevant variables. We show that inclusion of non-linearities is necessary for determining the empirically relevant variables and uncovering key mechanisms of the growth process. The Economic Journal

Original languageEnglish (US)
Pages (from-to)125-154
Number of pages30
JournalEconomic Journal
Volume122
Issue number559
DOIs
StatePublished - Mar 1 2012

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint Dive into the research topics of 'Growth Empirics without Parameters'. Together they form a unique fingerprint.

  • Cite this