The “weather factor” is becoming more common.
In addition to seasonal effects, abnormal weather can also affect month-to-month fluctuations in job growth. In my paper “Weather Adjusting Economic Data” I and my coauthor Michael Boldin implement a statistical methodology for adjusting employment data for the effects of deviations in weather from seasonal norms. We use several indicators of weather, including temperature and snowfall.
As for the slight slowdown in consumption at the end of 2015, December was both the warmest and the wettest on record. The warmth reduced spending on heating; the wet may have kept people indoors. Spending at restaurants fell by 1.7%, notes Paul Ashworth of Capital Economics, a consultancy. Now that the heavens have closed, wallets should reopen.
Agree that sometimes it´s a fun read!