Time-Varying effects of extreme weather shocks on output growth of the United States

被引:0
|
作者
Sheng, Xin [1 ]
Gupta, Rangan [2 ]
Cepni, Oguzhan [3 ,4 ,5 ]
机构
[1] Anglia Ruskin Univ, Lord Ashcroft Int Business Sch, Chelmsford, England
[2] Univ Pretoria, Dept Econ, Private Bag X20, Hatfield 0028, South Africa
[3] Ostim Tech Univ, Ankara, Turkiye
[4] Copenhagen Business Sch, Dept Econ, Porcelaenshaven 16A, DK-2000 Frederiksberg, Denmark
[5] Univ Edinburgh, Ctr Business Climate Change & Sustainabil, Business Sch, 29 Buccleuch Pl, Edinburgh EH8 9JS, Scotland
关键词
Severe weather; Endogenous TVP-VAR; Growth; Inflation;
D O I
10.1016/j.frl.2024.106318
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study investigates the impact of a structural shock to a metric of extreme weather, identified using sign restrictions, on output growth (and inflation) in the United States (US) from 1961 to 2022, using a new class of time-varying parameter vector autoregressive (endogenous TVP-VAR) model, whereby the identified structural innovation is allowed to influence the dynamics of the coefficients in the model unlike in traditional TVP-VARs. Our results provided evidence that severe weather shocks adversely affect output growth (and inflation) over the forecast horizon of one- to twelve-quarter-ahead. More importantly, we find that the effect of extreme weather on the US macroeconomic variables is indeed time-varying, with the impacts becoming smaller in recent times, possibly due to improved adaptation to climate change.
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页数:14
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