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 language | English (US) |
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Pages (from-to) | 125-154 |
Number of pages | 30 |
Journal | Economic Journal |
Volume | 122 |
Issue number | 559 |
DOIs | |
State | Published - Mar 2012 |
ASJC Scopus subject areas
- Economics and Econometrics