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Warming And Income Growth In The United States: A Heterogeneous, Common Factor Dynamic Panel Analysis

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  • BRANTLEY LIDDLE

    (Energy Studies Institute, National University Singapore, 29 Heng Mui Keng Terrace, Block A #10-01, 119620 Singapore)

Abstract

This paper analyzes whether temperature changes influence economic growth in the contiguous 48 US states by employing panel methods that address both heterogeneity and cross-sectional dependence. Ultimately, it is determined that the negative effect of warming (initially proxied by cooling degree days) is restricted to agriculture GDP. But when weathers’ impact was measured by average summer temperature, the negative effect — still mostly restricted to agriculture GDP — was substantially and significantly larger (a finding similar to previous work) and geographically uniform. Yet, the model’s dynamics suggested that the magnitude of the short-run impact was larger (in absolute terms) than the long-run impact.

Suggested Citation

  • Brantley Liddle, 2018. "Warming And Income Growth In The United States: A Heterogeneous, Common Factor Dynamic Panel Analysis," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-14, November.
    • Handle: RePEc:wsi:ccexxx:v:09:y:2018:i:04:n:s2010007818500124
    DOI: 10.1142/S2010007818500124
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    References listed on IDEAS

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    Cited by:

    1. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    2. Shouwei Li & Xin Wu, 2023. "How does climate risk affect bank loan supply? Empirical evidence from China," Economic Change and Restructuring, Springer, vol. 56(4), pages 2169-2204, August.
    3. Jaqueline Oliveira & Bruno Palialol & Paula Pereda, 2021. "Do temperature shocks affect non-agriculture wages in Brazil? Evidence from individual-level panel data," Working Papers, Department of Economics 2021_13, University of São Paulo (FEA-USP).

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