This paper adopts a generalized-difference-in-difference (GDD) technique outlined in Ariel R. Belasen and Solomon W. Polachek (IZA Discussion Paper #2976) to examine the impact of hurricanes on the labor market. We find that earnings of the average worker in a Florida county rises over 4% within the first quarter of being hit by a major Category 4 or 5 hurricane relative to counties not hit, and rises about 1ubc% for workers in Florida counties hit by less major Category 1-3 hurricanes. Concomitantly, employment falls between 1ubd and 5% depending on hurricane strength. On the other hand, the effects of hurricanes on neighboring counties have the opposite effects, moving earnings down between 3 and 4% in the quarter the hurricane struck. To better examine the specific shocks, we also observe sectoral employment shifts. Finally, we conduct a time-series analysis and find that over time, there is somewhat of a cobweb with earnings and employment rising and falling each quarter over a two-year time period.
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机译：本文采用Ariel R. Belasen和Solomon W. Polachek（IZA讨论论文＃2976）中概述的广义差异中的GDD技术来研究飓风对劳动力市场的影响。我们发现，在遭受重大4级或5级飓风袭击后，佛罗里达州县的普通工人的收入相对于未遭受袭击的县，增长了4％以上，而在佛罗里达州遭受打击的县的工人，其收入增长了约1 ubc％减少主要的1-3类飓风。同时，根据飓风强度，就业率介于1 ubd和5％之间。另一方面，飓风对邻近县的影响则相反，飓风袭击的季度使收入下降了3％至4％。为了更好地研究具体的冲击，我们还观察了部门就业的变化。最后，我们进行了时间序列分析，发现随着时间的流逝，在两年的时间内，有些蜘蛛网的收入和就业人数每个季度都在上升和下降。
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