Temperature and temperament: Evidence from Twitter
成果类型：
Article
署名作者：
Baylis, Patrick
署名单位：
University of British Columbia
刊物名称：
JOURNAL OF PUBLIC ECONOMICS
ISSN/ISSBN：
0047-2727
DOI：
10.1016/j.jpubeco.2020.104161
发表日期：
2020
关键词：
摘要：
How do people value their climate? This paper demonstrates a new approach to estimating preferences for non-market goods using social media data. I combine more than a billion Twitter updates with natural language processing algorithms to construct a rich panel dataset of expressed sentiment for the United States and six other English-speaking countries around the world. In the U.S., I find consistent and statistically significant declines in expressed sentiment from both hot and cold temperatures. To better understand how preferences may adapt, I document heterogeneity in both regional and seasonal responses. I complete the U.S. analysis with a suite of validation exercises to understand the magnitude of these effects and two methods to estimate willingness-to-pay for climate amenities. Finally, I document similar relationships between temperature and expressed sentiment for four out of the six non-US. countries I examine. (C) 2020 Elsevier B.V. All rights reserved.
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