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Data · dataset · 2016

Data for: Growth econometrics for agnostics and true believers

Listed in Teesside University Research Data Repository

Abstract of associated article: The issue of model uncertainty is central to the empirical study of economic growth.

Description

Many recent papers use Bayesian Model Averaging to address model uncertainty, but (Ciccone and Jarociński, 2010) have questioned the approach on theoretical and empirical grounds. They argue that a standard ‘agnostic’ approach is too sensitive to small changes in the dependent variable, such as those associated with different vintages of the Penn World Table (PWT).

This paper revisits their theoretical arguments and empirical illustration, drawing on more recent vintages of the PWT, and introducing an approach that limits the degree of agnosticism.

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Catalogue records · 1

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Provenance · 1 source records, 13 field assertions
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