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It is Saturday night so it is time to calculate some weighted means. The United States consists of roughly 3,000 counties. For each of these counties, I have data on its average February temperature in the middle of the 20th century (so take the 1950 to 1980 annual average February temperature) and time average this. Let’s call this “tmean2″ and I have the average temperature for each county over the same years in August. Call this “tmean8″.
I then conduct the following thought experiment. Given the spatial distribution of the population across counties in the year 1900, what was the average temperature exposure for the U.S population? So, I’m weighting the county average February and August Temperature by the year 1900 distribution of people across U.S counties. Intuitively, more people lived in Detroit in those days and fewer lived in Los Angeles. As you can see below, the average American lived in a place that was 34.1 degrees F. in winter and 73.8 in Summer and 22.8% of people lived in a coastal county.
summ tmean2 tmean8 coast [w=pop1900]
Variable | Obs Weight Mean Std. Dev. Min Max
————-+—————————————————————–
tmean2 | 2818 75438942 34.1235 9.595696 9.107881 69.19515
tmean8 | 2818 75438942 73.81865 4.546925 60.25134 91.89582
coast | 2818 75438942 .2284033 .4198783 0 1
Now, I repeat this exact same exercise using the same climate data but now I use the 2010 calendar year population distribution. We know the population has moved from the Rust Belt to the Sun Belt.
. summ tmean2 tmean8 coast [w=census2010pop]
Variable | Obs Weight Mean Std. Dev. Min Max
————-+—————————————————————–
tmean2 | 3110 304169234 40.06854 12.17356 9.107881 69.19515
tmean8 | 3110 304169234 75.0742 5.515168 60.25134 91.89582
coast | 3111 306665669 .3432595 .4748736 0 1
2012-08-18 21:46:13
Source: http://greeneconomics.blogspot.com/2012/08/migration-and-climate-exposure-from.html