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The Determinants of Macroeconomic Volatility: A Bayesian Model Averaging Approach


Leonidas Spiliopoulos


University of New South Wales - Australian School of Business - School of Economics

November 18, 2010


Abstract:     
Bayesian model averaging is applied to robustly ascertain the determinants of various output volatility measures, including the downside semi-deviation of growth rates. Financial sophistication variables are found to have qualitatively different effects on volatility. The ratio of government expenditure to GDP exhibited a significant positive relationship with volatility and the trade share of GDP was positively related for a balanced dataset of developed and developing countries between 1960-89, and negatively related for developing countries between 1974-89. Other significant determinants were the black market premium, civil liberties, political rights, rule of law, and ratios of short-term debt and taxation to GDP.

Number of Pages in PDF File: 33

Keywords: Macroeconomic volatility, Growth, Government policy, Bayesian model averaging, Model selection

JEL Classification: C11, C52, E32, E60, F00, O47

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Date posted: November 20, 2010  

Suggested Citation

Spiliopoulos, Leonidas, The Determinants of Macroeconomic Volatility: A Bayesian Model Averaging Approach (November 18, 2010). Available at SSRN: http://ssrn.com/abstract=1711422 or http://dx.doi.org/10.2139/ssrn.1711422

Contact Information

Leonidas Spiliopoulos (Contact Author)
University of New South Wales - Australian School of Business - School of Economics ( email )
High Street
Sydney, NSW 2052
Australia

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