Robust Growth Determinants

Gernot Doppelhofer () and Melvyn Weeks

Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge

Abstract: This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors compared to the normal benchmark case. Applying robust model averaging to growth determinants, the paper finds that eight of eighteen variables found to be significantly related to economic growth by Sala-i-Martin et al. (2004) are sensitive to deviations from benchmark model averaging. For example, the GDP shares of mining or government consumption, are no longer robust or economically significant once deviations from the normal benchmark assumptions are allowed. The paper identifies outlying observations - most notably Botswana - in explaining economic growth in a cross-section of countries.

Keywords: Determinants of Economic Growth; Robust Model Averaging; Heteroscedasticity; Outliers; Mixture models (search for similar items in EconPapers)
JEL-codes: C11 C21 C52 O20 O47 O50 (search for similar items in EconPapers)
Date: 2011-01-31
New Economics Papers: this item is included in nep-fdg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Related works:
Working Paper: Robust Growth Determinants (2011)
Working Paper: Robust Growth Determinants (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:cam:camdae:1117

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