The Great Barrington Declaration argues against universal lock-downs:
Those who are not vulnerable should immediately be allowed to resume life as normal. Simple hygiene measures, such as hand washing and staying home when sick should be practiced by everyone to reduce the herd immunity threshold. Schools and universities should be open for in-person teaching. Extracurricular activities, such as sports, should be resumed. Young low-risk adults should work normally, rather than from home. Restaurants and other businesses should open. Arts, music, sport and other cultural activities should resume. People who are more at risk may participate if they wish, while society as a whole enjoys the protection conferred upon the vulnerable by those who have built up herd immunity.
Setting aside the epidemiological merits of the Declaration, the question remains: how much of an economic impact would a targeted easing up of restrictions have?
To answer that question, we need to figure out how much spending power is in the hands of "young low-risk adults", and how much is in the hands of "people who are more at risk." COVID-19 risk depends upon a variety of factors, including sex, blood-type, body mass index, and so on. However age appears to be a key risk factor - 40 to 49 year olds in the US are 10 times more likely to die from COVID than people between 18 and 29. The odds of COVID death for 50 to 64 year olds are 30 times the odds for someone between the ages of 18 and 29 (source). So, while age is not a perfect measure of COVID risk, we can use it to get a rough sense of how much of the purchasing power in our economy is in the hands of people who are vulnerable to COVID.
There are a couple of different data sets that can be used to estimate the distribution of after-tax income by age in Canada. The first is the Canada Revenue Agency's Taxation Statistics. These report the total amount of income declared by every Canadian taxfiler, broken down into five year age categories, as well as the taxes paid. They are not a perfect measure of after-tax income. They only include personal income reported for income tax purposes, not corporate income, nor any incomes not declared for tax purposes. Also, the taxation statistics do not include a measure of after-tax income, so I estimated it by calculating net income minus total taxes paid. Moreover, these numbers are from 2016, so are somewhat out of date. But they serve to make a point.
First, even if young low-risk adults can work normally, it won't make much difference to the amount of money spent on restaurants, arts, music, sports and other cultural activities, because young low-risk adults don't earn much money. Many are in school or just starting out in the labour market. Young people's wages are relatively low, and their unemployment rates are relatively high.
In 2016, the age group that controlled the most economic resources was 50 to 54 year olds: the after-tax income of all Canadians in that age group added up to a total of $114 billion. The next highest earning age group 55 to 59 year olds, raking in a collective $110 billion after taxes, followed by 45 to 49 year olds. This should come as no surprise. These cohorts are large. In 2016, people aged 50 to 54 were the single largest age group in Canada, followed by people 55 to 59. Moreover, people in their 50s and 40s are at the peak of their earnings potential.
The next figure presents this same information a slightly different way. It shows the percentage of total income received by people under the ages of 20, 25, 30, and so on. For example, the graph shows that people under the age of 20, who reported a total of $9 billion of after-tax income in 2016, accounted for less than 1 percent of the total after-tax income reported that year. People under the age of 30 accounted for 11 percent of the reported after-tax income. Less than half of after-tax income was received by people under the age of 50. The bulk of income was received by people 50 and over.
As has already been noted, CRA's Taxation Statistics are not a perfect measure of after-tax income, so I double-checked the analysis using the 2016 Census PUMF. Again, the same pattern holds - roughly 10% of after-tax income is in the hands of people under 30, and the age group with the greatest after-tax income is 50-54 year olds:
Again, this data is slightly dated - but the aging of the baby boomers would be expected to push the bulk of purchasing power even higher up the age distribution.
It could be argued that people in their 20s and 30s don't earn that much money, but they're the ones who really keep the economy going. They're the ones buying homes, buying cars, buying consumer durables. This point has merit, but it only serves to strengthen the argument made in this post. Canada's housing market is on fire right now. Car sales are strong, as are sales of consumer durables. It's the service sector that's hurting - plays, music, restaurants, museums, art galleries, and so on. And, generally speaking, it's middle-aged people who have the disposable income to keep these sectors going.
Perhaps if middle-aged people were allowed to assess the risks of various activities and participate if they chose, enough would opt in to make a real difference to the health of the Canadian economy. But I wouldn't count on it.
I am 65 and diabetic.Two of my relatives recovered last week but two died. I thought my retirement would mean,at last, time enough for theaters, cinemas and restaurants. I made my assessement and they're not worth it.
Posted by: Jacques René Giguère | October 29, 2020 at 08:26 PM
Jacques Rene - I'm younger than you, but I've made the same assessment. I know someone my age who's had it, and has experienced serious complications afterwards (brain fog type stuff). Plus my parents are getting older, and I need to minimize my COVID exposure so that I'm able to visit them.
I think it's important to manage risk - for example, I'd say the benefits of allowing kids to run around outside in parks and playgrounds outweigh any slight increase in COVID risk - and one could argue that we're not managing risk very well. But my point here is just that no matter how much the economy opens up, there are a lot of people like you and me who are going to say "er...no thanks" - and collectively we've got a lot of purchasing power.
Posted by: Frances Woolley | October 29, 2020 at 08:48 PM
Frances:our purchasing power goes mainly to services, not goods. I've got all the suits and ties I'll ever need,if I ever wear one again (will my uncle funerals be permitted, those of one of my aunt who died last winter (not Covid) were held with only 10 persons).
I blanketed my appartement main wall with what I call a "Space Command" of four new TV screens. I thought it would be a major purchase but the price of modern electronics is so ridiculously low, it may be not worth the trouble locking my door and certainly not the the time of burglars and fences...
Posted by: Jacques René Giguère | October 29, 2020 at 09:43 PM
Exactly!
Posted by: Frances Woolley | October 29, 2020 at 10:00 PM
I am currently watching Radio-Canada "Enquêtes", the subject being retirement homes. If that doesn't terrorize you about the amount of money you'll need in twenty years and lead you to stop consuming anything now just to be able to stay alive then,you're made of sterner stuff than me...
Posted by: Jacques René Giguère | October 29, 2020 at 10:03 PM
I estimate the Covid personal health loss of $10000 for someone under 50 and $50000 for someone over. It is also bad form for other pandemics and disasters to ignore this one. I prefer software "human trials". Right now liver function isn't estimated for an individual using ECMO and ventilators
Posted by: Phillip Huggan | November 07, 2020 at 07:30 PM
That is, weight is the input to the machine, not liver volume or some sort of imaged liver efficacy metric; the interface should be extensible. Opening up the economy at warmer temperatures, or at a lack of ER volume maybe around Valentine's Day, is a choice. For virtual humans, I am conceptualizing a nanoparticle arranged like a honeycomb; the comb is red blood cell coatings, and the cells are an unknown substrate that causes the PFToxin to adhere or be reacted. The cell is somehow exfoliated (perhaps using an MRI) and the underlying RBC coating is exposed to sop up more toxin. Here, toxins are unsafe as are some nanoparticle substrates. The existing FDA preference for known safety is blind and maybe challenge Trials would be reasonable.
Posted by: Phillip Huggan | November 14, 2020 at 06:52 AM