Mitigating the impact of a pandemic: a time-varying-parameter structural VAR (TVP-SVAR) and time-varying granger causality estimations

被引:0
作者
Olaoye, Olumide O. [1 ]
Zerihun, Mulatu F. [1 ]
机构
[1] Tshwane Univ Technol, Dept Econ, Pretoria, South Africa
关键词
Macroeconomic shock; Fiscal policy; Inflation; Output; Time-varying structural vector autoregressive model (TVSVAR) and Granger causality; Asymmetry; FISCAL-POLICY; MONEY; MONETARY;
D O I
10.1108/AJEMS-05-2023-0179
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeThe study investigates the effectiveness of government policies to mitigate the impact of a pandemic. The study adopts the small open economy of Nigeria for the following reasons. First, Nigeria is the largest economy in SSA. Second, Nigeria was also significantly impacted by the COVID-19 pandemic.Design/methodology/approachThe study employed the time-varying structural autoregressive (TVSVAR) model to control for the potential asymmetry in fiscal variables and to control for the shift in the structural shift, following a macroeconomic shock. As a form of robustness, the study also implements the time-varying Granger causality to formally assess the temporal instability of the variable of interest.FindingsThe results show that an oil price shock is an important source of macroeconomic instability in Nigeria. Importantly, the results indicate that the effects of fiscal policy are strongly time varying. Specifically, the results show that fiscal policy helps to stabilize the economy, (i.e. they help to reduce inflation and spur output growth) following macroeconomic shock. Further, the Granger test shows that fiscal policy helped to spur growth in Nigeria. The research and policy implications are discussed.Originality/valueThe study accounts for the time-varying effects of fiscal policy.
引用
收藏
页码:104 / 131
页数:28
相关论文
共 56 条
[1]   The impact of containment measures and monetary and fiscal responses on US financial markets during the COVID-19 pandemic [J].
Abakah, Emmanuel Joel Aikins ;
Caporaleb, Guglielmo Maria ;
Alberiko Gil-Alana, Luis .
HELIYON, 2023, 9 (05)
[2]   News-based uncertainty measures and returns on prices of precious metals: evidence from regime switching and time-varying causality approach [J].
Adeosun, Opeoluwa Adeniyi ;
Adeosun, Olumide Adeola ;
Tabash, Mosab, I ;
Anagreh, Suhaib .
JOURNAL OF ECONOMIC STUDIES, 2022, :173-200
[3]   The macroeconomic effects of fiscal policy in Portugal: a Bayesian SVAR analysis [J].
Afonso, Antonio ;
Sousa, Ricardo M. .
PORTUGUESE ECONOMIC JOURNAL, 2011, 10 (01) :61-82
[4]   Decomposing the links between oil price shocks and macroeconomic indicators: Evidence from SAARC region [J].
Ahmed, Khalid ;
Bhutto, Niaz Ahmed ;
Kalhoro, Muhammad Ramzan .
RESOURCES POLICY, 2019, 61 :423-432
[5]   Oil prices and fiscal policy in an oil-exporter country: Empirical evidence from Oman [J].
Al Jabri, Salwa ;
Raghavan, Mala ;
Vespignani, Joaquin .
ENERGY ECONOMICS, 2022, 111
[6]  
Allegret J-P., 2011, 201139 EC
[7]  
[Anonymous], 2019, BP STAT REV WORLD EN
[8]   Fiscal policy within the DSGE-VAR framework [J].
Babecky, Jan ;
Franta, Michal ;
Rysanek, Jakub .
ECONOMIC MODELLING, 2018, 75 :23-37
[9]   The dynamics of U.S. industrial production: A time-varying Granger causality perspective [J].
Baum, Christopher F. ;
Hurn, Stan ;
Otero, Jesus .
ECONOMETRICS AND STATISTICS, 2025, 33 :13-22
[10]  
Bayer C., 2020, The coronavirus stimulus package: How large is the transfer multiplier? CEPR Discussion Paper No. DP14600