{"id":6674328,"date":"2020-04-16T22:38:50","date_gmt":"2020-04-16T22:38:50","guid":{"rendered":"http:\/\/cfe.econ.jhu.edu\/?p=6674328"},"modified":"2021-01-12T16:46:24","modified_gmt":"2021-01-12T16:46:24","slug":"votes-deaths-layoffs","status":"publish","type":"post","link":"https:\/\/krieger.jhu.edu\/financial-economics\/2020\/04\/16\/votes-deaths-layoffs\/","title":{"rendered":"Votes, deaths and layoffs"},"content":{"rendered":"
There are 50 states, but only 13 where the 2016 presidential election was decided by a margin of less than eight percentage points. Six of them went for Hillary Clinton and seven for Donald Trump. It is likely that this year\u2019s election will be largely decided in those states.<\/p>\n
So how are they faring in the current economic recession brought on by the coronavirus?<\/p>\n
We looked at two measures. How likely are workers in those states to have been laid off in the past month? How many people have died from the virus? <\/p>\n
Here is a table of those 13 states, with the proportion of the labor force that has filed for unemployment insurance since March 14 and the rate of COVID-19 deaths reported in each state.<\/p>\n
\n<\/p>\n
Two of those states stand out. Michigan has had 21% of its labor force file unemployment claims, and has a death rate of 19.1 people per 100,000 population. <\/p>\n
Pennsylvania has a filing rate of 19.8%, which is fourth highest in the country, and a death rate of 6.1%. That rate is less than a third of Michigan\u2019s but is higher than that of any other state on the list.<\/p>\n
Those two states, along with Wisconsin \u2013 where both unemployment claims and deaths are significantly lower \u2013 were the three midwestern states in which Donald Trump scored narrow upset wins in 2016 to secure an electoral college majority despite losing the national popular vote.<\/p>\n
To a significant extent, decisions on what to do now are being made \u2013 by the president, the governors and by individual citizens who will decide just how much they are willing to risk by forgoing social distancing \u2013 without good information.<\/p>\n
A lot more testing for the disease is needed \u2013 both to determine who has the disease and to determine who has recovered from the disease and presumably has antibodies that will prevent them from getting it again. Effective policies to keep the first group away from others \u2013 and to encourage the second group to return to normal activity \u2013 could both fight the disease and support economic recovery.<\/p>\n
But such information is not yet available, which leads some health experts to argue for caution in reopening the economy. <\/p>\n
It is Michigan that has become a focal point of the current argument. It has fared badly until now, and Gov. Gretchen Whitmer, a Democrat, has ordered a fairly tight lockdown, sparking protests from people claiming that it violates their liberty. She dismissed a drive-in protest Wednesday, called \u201cOperation Gridlock,\u201d as \u201cessentially a political rally.\u201d Some demonstrators carried signs supporting President Trump.<\/p>\n
Trump evidently thinks that a quick economic recovery is his best hope for re-election, and that to get that he needs to reopen as much of the economy as possible. Some health experts fear that doing that could lead to new concentrations of the disease, causing the death toll to rise sharply in areas that so far have had few fatalities.<\/p>\n
Notes: Election margins exclude third-party candidates. Layoff rates were calculated by NBC News using Department of Labor Figures:
\nhttps:\/\/www.nbcnews.com\/business\/economy\/unemployment-claims-state-see-how-covid-19-has-destroyed-job-n1183686
\nDeath rates come from Johns Hopkins University data:
\nhttps:\/\/coronavirus.jhu.edu\/us-map
\nand Census Bureau estimates of population as of July 1, 2019:
\nhttps:\/\/www.census.gov\/newsroom\/press-kits\/2019\/national-state-estimates.html
\nAs of Wednesday, the overall death rate for the United States was 8.66 deaths per 100,000 population.<\/small><\/p>\n","protected":false},"excerpt":{"rendered":"
There are 50 states, but only 13 where the 2016 presidential election was decided by a margin of less than eight percentage points. Six of them went for Hillary Clinton and seven for Donald Trump. It is likely that this year\u2019s election will be largely decided in those states. So how are they faring in […]<\/p>\n","protected":false},"author":479,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[111,112,114],"tags":[],"class_list":["post-6674328","post","type-post","status-publish","format-standard","hentry","category-cfe","category-analysis","category-macro"],"acf":[],"_links":{"self":[{"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/posts\/6674328","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/users\/479"}],"replies":[{"embeddable":true,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/comments?post=6674328"}],"version-history":[{"count":7,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/posts\/6674328\/revisions"}],"predecessor-version":[{"id":6674336,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/posts\/6674328\/revisions\/6674336"}],"wp:attachment":[{"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/media?parent=6674328"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/categories?post=6674328"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/krieger.jhu.edu\/financial-economics\/wp-json\/wp\/v2\/tags?post=6674328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}