Using Weather Data and Climate Model Output in Economic Analyses of Climate Change
Using Weather Data and Climate Model Output in Economic Analyses of Climate Change
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DOI：
10.1093/reep/ret016
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发表时间：
2013-06-01
影响因子：
5.4
通讯作者：
Sobel, Adam
中科院分区：
文献类型：
--
作者：
Auffhammer, Maximilian;Hsiang, Solomon M.;Sobel, Adam
经济学家越来越多地使用天气数据和气候模型输出来分析气候变化的经济影响。本文介绍了常用的天气数据集和气候模型，讨论了经济学家在使用这些产品时最常见的错误，并确定了避免这些陷阱的方法。我们首先介绍天气数据，包括对可用的数据集类型的总结，然后讨论经验研究人员在使用历史天气数据作为计量经济学应用中的解释变量时应该注意的五个常见陷阱。然后，我们提供了气候模型的简要概述，并讨论了经济学家在使用气候模型输出来模拟气候变化对感兴趣的经济结果的未来影响时经常犯的两个常见且严重的错误。
Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of data sets available, and then we discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.