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DOI10.1016/j.jeem.2024.102940
Sufficient statistics for climate change counterfactuals
发表日期2024
ISSN0095-0696
EISSN1096-0449
起始页码124
卷号124
英文摘要Recent years have seen a growing interest among empiricists in exploiting random weather fluctuations to identify climate change impacts, yet a clear understanding of the conditions under which short -run weather effects can reveal long -run climatic impacts is lacking. We derive necessary and sufficient conditions for weather fluctuations to systematically identify the marginal effect of climate on an economic outcome. Under these conditions, empirical estimates of local marginal weather effects flexibly trace out a common long -run response function to climate that can be used for non -marginal climate change counterfactuals. Our application considers the effect of weather on county -level agricultural GDP in the United States. Depending on model specification, agricultural GDP is predicted to decrease by 6%-10% under a 2 degree celsius warming scenario.
英文关键词Climate change; Climate adaptation; Sufficient statistic; Weather
语种英语
WOS研究方向Business & Economics ; Environmental Sciences & Ecology
WOS类目Business ; Economics ; Environmental Studies
WOS记录号WOS:001188827400001
来源期刊JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/286067
作者单位University of California System; University of California Davis; AgroParisTech; Universite Paris Cite; INRAE; Universite Paris Saclay; Michigan State University
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. Sufficient statistics for climate change counterfactuals[J],2024,124.
APA (2024).Sufficient statistics for climate change counterfactuals.JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT,124.
MLA "Sufficient statistics for climate change counterfactuals".JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT 124(2024).
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