Sunspots That Matter: The Effect of Weather on Solar Technology Adoption
利用天气的外生变化，研究发现家庭在决定安装太阳能光伏时存在行为偏差，购买期日照时数每增加一个标准差，周安装量约增加4.7%，且该效应在加总数据中持续存在。
Abstract This paper tests for the presence of behavioral biases in household decisions to adopt solar photovoltaic installations using exogenous variation in weather. I find that residential technology uptake responds to exceptional weather, defined as deviations from the long-term mean, in line with the average time gap between decision-making and completion of the installation. In particular, a one standard deviation increase in sunshine hours during the purchase period leads to an approximate increase of 4.7% in weekly solar PV installations. This effect persists in aggregate data. I consider a range of potential mechanisms and find suggestive evidence for projection bias and salience as key drivers of my results.