In this paper, we uncover growth volatility regimes and identify their robust determinants using a large international panel of countries. In doing so, we propose a novel empirical methodology that allows us to simultaneously deal with two key elements of model uncertainty, namely theory uncertainty and parameter heterogeneity, by unifying two recent econometric techniques: Bayesian model averaging and threshold regression. We find ample evidence of parameter heterogeneity and model uncertainty. Our results highlight the role of ethnic fractionalization, institutions, financial development, health, and geography.
机构:
Harvard Univ, European Studies, Dept Govt, Cambridge, MA 02138 USA
Harvard Univ, European Studies, Minda de Gunzburg Ctr European Studies, Cambridge, MA 02138 USAHarvard Univ, European Studies, Dept Govt, Cambridge, MA 02138 USA
机构:
National Institute of Economic and Social Research (NIESR), London SW1P 3HENational Institute of Economic and Social Research (NIESR), London SW1P 3HE
Barrell R.
Holland D.
论文数: 0引用数: 0
h-index: 0
机构:
National Institute of Economic and Social Research (NIESR), London SW1P 3HENational Institute of Economic and Social Research (NIESR), London SW1P 3HE
Holland D.
Liadze I.
论文数: 0引用数: 0
h-index: 0
机构:
National Institute of Economic and Social Research (NIESR), London SW1P 3HENational Institute of Economic and Social Research (NIESR), London SW1P 3HE
Liadze I.
Pomerantz O.
论文数: 0引用数: 0
h-index: 0
机构:
National Institute of Economic and Social Research (NIESR), London SW1P 3HENational Institute of Economic and Social Research (NIESR), London SW1P 3HE