Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging (replication data)
Domain:
socioeconomicRecord type:
dataset
Creator:
MasPap
Editor:
ZBW
Publisher:
ZBW
Host:
This paper takes a fresh look at Africa's growth experience by using the Bayesian model averaging (BMA) methodology. BMA enables us to consider a large number of potential explanatory variables and sort out which of these variable can effectively explain Africa's growth experience. Posterior coefficient estimates reveal that key engines of growth in Africa are substantially different from those in the rest of the world. More precisely, it is shown that mining, primary exports and initial primary education exerted differential effect on African growth. These results are examined in relation to the existing literature.
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