Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model

被引:154
|
作者
Hailemariam, Abebe [1 ]
Smyth, Russell [1 ]
Zhang, Xibin [2 ]
机构
[1] Monash Business Sch, Dept Econ, Caulfield, Vic, Australia
[2] Monash Business Sch, Dept Econometr & Business Stat, Caulfield, Vic, Australia
基金
澳大利亚研究理事会;
关键词
Oil prices; Economic policy uncertainty; Time-varying coefficient function; Nonparametric panel data; STOCK-MARKET; VOLATILITY RISK; SUPPLY SHOCKS; US EVIDENCE; CRUDE-OIL; IMPACT; UNEMPLOYMENT; MACROECONOMY; LONG;
D O I
10.1016/j.eneco.2019.06.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
We examine the relationship between oil prices and economic policy uncertainty in G7 countries. To do so, we employ a nonparametric panel data technique that allows the trend and coefficient functions to evolve as unknown time-varying functional forms. We also estimate country-specific and common trend functions allowing them to evolve over time. Using monthly data from G7 countries over the period 1997:01-2018:06, we find that the effect of oil prices on economic policy uncertainty is time-varying. Our results show that the estimated time-varying coefficient function of the oil price was negative in years in which increases in oil prices were driven by a surge in global aggregate demand. Further, our nonparametric local linear estimates show that the country-specific and common trend functions are increasing over time. Our findings are robust to endogeneity and alternative specifications. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页码:40 / 51
页数:12
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