The Effects of Uncertainty on Economic Conditions Across <scp>US</scp> States: The Role of Climate Risks

ABSTRACT We analyze the impact of uncertainty on the Economic Conditions Index (ECI) of the 50 US states in a panel data set‐up, over the weekly period of the 3rd week of April 1987 to the 4th week of March 2023. Using impulse response functions (IRFs) from a linear local projections (LP) model, we show that uncertainty, as captured by the stochastic volatility (SV) of the ECIs, negatively impacts ECI in a statistically significant manner. More importantly, using a nonlinear LP model, the IRFs reveal that the adverse effect of uncertainty is significantly stronger under the high‐regime of climate risks when compared to the low‐regime of the same. Understandably, our results have important policy implications. JEL Classification: C23, D80, E32, Q54

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Publication Details

Journal
Scottish Journal of Political Economy
Published
2025-10-24
DOI
https://doi.org/10.1111/sjpe.70035
Primary Topic
Market Dynamics and Volatility
Type
article
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article

The Effects of Uncertainty on Economic Conditions Across US States: The Role of Climate Risks

Xin Sheng, Rangan Gupta, Wenting Liao, Oğuzhan Çepni
Scottish Journal of Political Economy
Market Dynamics and Volatility
article

The Effects of Uncertainty on Economic Conditions Across US States: The Role of Climate Risks

Xin Sheng, Rangan Gupta, Wenting Liao, Oğuzhan Çepni
article en

Abstract

ABSTRACT We analyze the impact of uncertainty on the Economic Conditions Index (ECI) of the 50 US states in a panel data set‐up, over the weekly period of the 3rd week of April 1987 to the 4th week of March 2023. Using impulse response functions (IRFs) from a linear local projections (LP) model, we show that uncertainty, as captured by the stochastic volatility (SV) of the ECIs, negatively impacts ECI in a statistically significant manner. More importantly, using a nonlinear LP model, the IRFs reveal that the adverse effect of uncertainty is significantly stronger under the high‐regime of climate risks when compared to the low‐regime of the same. Understandably, our results have important policy implications. JEL Classification: C23, D80, E32, Q54

Scottish Journal of Political EconomyVol. 73(1)
Copenhagen Business School (DK), Ostim Technical University (TR), Anglia Ruskin University (GB), University of Pretoria (ZA), Renmin University of China (CN)
Openalex Percentile: Top 60%
Market Dynamics and Volatility
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