Trends in Temperature Data: Micro-foundations of Their Nature

Maria Dolores Gadea, Jesus Gonzalo and Andrey Ramos

Papers from arXiv.org

Abstract: Determining whether Global Average Temperature (GAT) is an integrated process of order 1, I(1), or is a stationary process around a trend function is crucial for detection, attribution, impact and forecasting studies of climate change. In this paper, we investigate the nature of trends in GAT building on the analysis of individual temperature grids. Our 'micro-founded' evidence suggests that GAT is stationary around a non-linear deterministic trend in the form of a linear function with a one-period structural break. This break can be attributed to a combination of individual grid breaks and the standard aggregation method under acceleration in global warming. We illustrate our findings using simulations.

Date: 2023-12
New Economics Papers: this item is included in nep-env
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Related works:
Journal Article: Trends in temperature data: Micro-foundations of their nature (2024)
Working Paper: Trends in temperature data: micro-foundations of their nature (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2312.06379

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