This paper combines individual-level time-use data for 2003–2017 with daily weather observations for U.S. counties to estimate the effects of precipitation and temperature on the intensity of job searching by the unemployed. Linear and nonlinear effects are investigated, along with heterogeneous responses across different populations. A 1 °C increase in maximum (minimum) temperature produces a same-day decrease (increase) in job-search time of close to 0.9 (1.7) minutes. For women, job-search time is 17 min shorter on days of heavy rain, whereas men search some 21 (26) minutes more on days of mild (moderate) rain. These changes do not appear to be offset on subsequent days.

本文将 2003-2017 年个人时间使用数据与美国各县的每日天气观测相结合，估计降水和气温对失业者求职强度的影响。研究了线性和非线性效应，以及不同人群的异质反应。最高（最低）温度每升高 1 °C，当天的求职时间就会减少（增加）近 0.9（1.7）分钟。对于女性来说，大雨天的求职时间会缩短 17 分钟，而男性在小雨天的求职时间会多出约 21 (26) 分钟。这些变化似乎不会在随后的日子里被抵消。