Category Archives: Danish economy

The cost of the second wave

Early December 2020, I presented my calculation of the expected cost of the corona crisis in Denmark, taking into account both economic and health-related costs (link). Since then, the situation has turned to the worse, and the expected cost of the crisis has increased by something like 50%. The calculation here is done for Denmark, but given similar types of waves in the US, the UK, and many other countries in Europa, I would expect similar types of consequences.

This graph shows the sad development in the number of people dying with corona in Denmark since March 11, 2020, on a daily basis.

Daily Covid-19 associated deaths in Denmark. Blue columns: March 11, 2020 through November 26, 2020. Red columns: November 27, 2020 through January 6, 2021.
Source: https://en.ssi.dk/.

The blue columns show the daily number of deaths up until November 26, 2020, when I did my initial calculation. The red columns show the numbers since then. From March through November, i.e. including the summer months when few people got infected, approximately 100 people died with corona per month. During the past six weeks, approximately 100 people died per week. During December, more people died with corona than during April.

Economic activity suffers

As a consequence of the dire situation, tough restrictions have been introduced: Max. five people are allowed to meet, people are working from home, “everything” (bars, restaurants, schools, universities, most retail shops, etc.) is closed, etc. Similar restrictions have been imtroduced in many other countries.

Because of the restrictions, economic activity suffers. Forecasts for economic activity have been revised.

In my calculation from early December, I used forecasts from the independent Danish Economic Councils (link). I used their “main scenario” from their autumn 2020 report. The Councils also published a negative scenario. Many economists, including the Council itself, and including myself by the way, now expect that this is a much more likely path for economic activity going forward.

Danish GDP forecasts.
Source: Danish Economic Councils

In their “main scenario”, the Councils expected GDP to fall by 3.6% in 2020, strongly rebound by 3.8% in 2021, and grow by 2.3% per year on average during 2021-2025. Now, a more likely path for Danish GDP is that it falls by 4.2% in 2020, grows by 1.5% in 2021 and by 2.5% per year on average during 2021-2025. In other words, due to the worsening of the situation since late November, the fall in economic activity during 2020 will probably be larger and, in particular, the rebound during 2021 will be smaller and delayed. Given that we start out 2021 in lockdowns, it is more reasonable to expect something like 1.5% growth in 2021, instead of 3.8%.

This figure collects the expected path of GDP without the coronacrisis (“Structural GDP w.o. corona”), the path expected in autumn, and the path that I and many other economists expect now (“Negative scenario”)

Danish GDP forecasts. DKK billion. Main and negative scenarios from Autumn 2020 projections vs. expected path of structural Danish GDP assuming no corona crisis.
Source: Danish Economic Councils

As is obvious from the graph, the expected reduction in GDP is just so much bigger now. More precisely, the expected loss in GDP due to corona (the reduction in GDP due to corona) is now app. DKK 400bn. This is basically two times the loss of economic activity expected just one month ago. This illustrates the costs of an additional wave of the coronacrisis.

Health-induced costs

Health-induced costs depend on the number of deaths, as described in my December blog post (link). In my December post, I assumed that the rate of deaths prevailing at the time of writing would continue for one more year. This was an assumption similar to the one used by Cutler & Summers for the US. This accumulated to 2100 expected deaths in total in Denmark. I argued that this was an aggressive assumption, given that I hoped vaccines were about to be rolled out, but it was the one used by Cutler & Summers, so I used that, too, such that I could compare costs for the US and Denmark.

Now, unfortunately, the assumption does not look that far off. During the past six weeks only, the number of deaths has increased by 75% in Denmark, from 800 to 1400. Given the severity of the current wave, and the slow roll-out of the vaccines, I do not feel comfortable changing my assumption with respect to the health-induced costs.

Updated expected cost of the crisis

This table collects my updated expected economic costs of the corona crisis in Denmark, together with my December expectation:

My estimate of the expected total cost of the crisis has increased from DKK 336bn to 536bn. This corresponds to 25% of pre-crisis Danish GDP, up from 16%. It also corresponds to app. DKK 90,000 per Dane (app. USD 15,000), compared with my best guess of DKK 60,000 per Dane in late November/early December (app. USD 10,000). In just six weeks, due to a terrible second wave of the corona crisis, the cost of the crisis has increased by something like 50% on a per-capita basis.

Conclusion

Obviously, there is a lot of uncertainty surrounding calculations such as these. The mere fact that six weeks of new data can change the economic outlook so much bear this out. Also, I use forecasts from the independent Danish Economic Councils. I expect all forecasters to agree that the economic outlook has turned to the worse, but exactly how much probably differs from forecaster to forecaster.

It is good with one number, DKK 536bn, as we then have something to remember and compare with. With so much uncertainty, on the other hand, we should not be surprised if the final cost will differ from this forecast. In general, whether we talk about forecasts of costs of crises, general economic forecasts of GDP, interest rates, exchange rates, or whatever, it is seldom that forecasts are spot on.

Forecasts such as these help us, though, to understand the magnitude of the crisis. The cost of the crisis (in Denmark) will be in the hundreds of billion Danish kroner. Of this, I am confident. Right now, I believe that something like DKK 500bn, or 25% of GDP, is a good estimate. This estimate might change, but I am reasonably confident that the cost of the crisis will end up being measured in double-digit percentages of GDP. This is the important take-away, not the exact number.

Given these high costs, we should do everything possible to try to reduce them. In particular, the faster vaccines are rolled out, the better. What is difficult to comprehend, I think, is that measures to expand vaccine production capacities were not taken in autumn, when everybody could see that the vaccines were on their way (e.g., by licensing production of vaccines to factories with spare production capacity, etc.). I thus cross my fingers that the rate of vaccination will increase significantly within a not too distant future, thereby helping to contain the otherwise very high cost of this crisis. A Danish newspaper had this cartoon yesterday, link, showing me arguing for the importance of a fast rollout of the vaccines.

2020

It’s this time of the year. This post recalls events of 2020. It has been such an unusual year, so different from what we expected. Luckily, there seems to be light at the end of the very long and dark tunnel, and – I hope – that 2021 will be considerably more joyful than 2020.

2020 started out so well. The roaring twenties and all that. Wuhan was a city I had not heard of, corona a beer people tell me is best served ice-cold with a slice of lime (I do not drink beer, tough I do enjoy wine), and social distancing words we would only get to know too well. Today, we know that Wuhan is a Chinese city with more than eleven million inhabitants and a marketplace where it presumably all started, corona also means something terrible, and social interaction is an activity we have come to miss so dearly.

At the time of writing, app. 75 million cases of corona/COVID-19/SARS-CoV-2 have been confirmed globally and app. 1.7 million people have passed away because of corona. Most countries have been in lockdowns, many still are (again), and the social and economic costs of the crisis have been enormous.

I started this blog in April 2020. This had nothing to do with corona. I had wanted to set up a blog for some years (people ask me where I find time for this, and I really do not know, but seemingly I simply like writing economic stories and analyses). Starting the blog in April this year, however, naturally implied that many of the blog posts have dealt with various economic and financial aspects of the pandemic. In this post, I will review some of the learnings from 2020.

The worst recession on record. With the highest growth rate on record

The recession started in February 2020 in, e.g., the US. Initially, it was caused by a supply shock: lockdowns were imposed and firms could not sell their goods and services and households could not go shopping. In April, when the IMF released their Spring Outlook, they labelled it “The Great Lockdown”. This was a suitable label. The IMF also noted that “This is a crisis like no other” and that “many countries now face multiple crises—a health crisis, a financial crisis, and a collapse in commodity prices, which interact in complex ways”. As unemployment and bankruptcies increased, households and firm got nervous, and demand suffered, too.

The path of economic activity has been highly unusual. This graph shows the quarterly percentage changes in US real GDP since 1947:

Quarterly percentage changes in US real Gross Domestic Product. 2020 encircled.
Source: Fed St. Louis Database

2020 is very much an outlier. On average, from 1947 through 2020, real GDP has grown by 0.8% per quarter. Until 2020, quarterly growth had never exceeded 4%. Economic activity had never contracted by more than 2.6%. Then came the Great Lockdown. During the second quarter of this year, economic activity contracted by 9%. This is almost four times more than the otherwise worst contraction on record. In this sense, it was the worst recession ever.

It has also been the weirdest recession ever. During this recession, we have also witnessed the highest growth rate on record: economic activity expanded by 7.4% during Q3. This is twice as much as the otherwise highest growth rate on record.

This puzzling feature of the recession led me wondering what a recession really is (link). I expressed sympathy with members of the NBER Recession Dating Committee. They face a particularly difficult task this year. Should they conclude that we had one V in spring, with the recession ending in late April, and then a new V now, i.e. two separate Vs (VV), or that we have had one long recession with a double dip, i.e. a double-V (W)? Does it make sense to call it a recession when we experienced the fastest rate of growth in economic activity on record? If you conclude that the economy cannot be in recession when it expands at its fastest growth rate ever, then you must conclude that the recession ended during Q2. But, the NBER Recession Dating Committee has not called the end of the recession yet, i.e., officially, the recession is still ongoing.

You may ask why it is important to know whether the recession ended in April or whether it is still ongoing. The development in economic activity is what it is, whether we call it recession or not. It is important because a “recession” is such an important concept in economics. We inform the public, business leaders, students, and others about the characteristics and consequences of recessions. If a recession can contain the by-far strongest expansion of economic activity on record, we need to change our understanding of recessions.

The very unusual behavior of economic activity during Q2 and Q3 caused very unusual, and scary, developments in unemployment and related aspects of economic activity. This graph shows the monthly change in the number of unemployed in the US:

Monthly changes in the number of unemployed in the US. Millions. 2020 encircled.
Source: Fed St. Louis Database

During March, unemployment in the US increased by 16 million. Again, this was beyond comparison. Until March 2020, the number of unemployed had never increased by more than one million over one month. In March 2020, it increased by 16 million.

As the virus contracted during summer, unemployment fell. There has never been as fast a reduction in the number of unemployed as the one occurring during this summer. In May, the number of unemployed dropped by more than three million. Until May 2020, the number of unemployed had never fallen by more than one million over one month. In May 2020, it fell by more than 3 million. So, within a year, we have had the strongest-ever increase in unemployment, but also the largest-ever fall in unemployment. By far.

Such dramatic events happened all around the world. I documented this here (link) and here (link).

Inspired by these events, I did something admittedly nerdy. I calculated the probability that we would experience events such as these, given the historical data (link). I found the unconditional likelihood that we could see the increase in newly registered unemployed that we saw in spring to be 0.97 x 10^(-841). This is a zero followed by 841 zeroes and then 97. For all practical purposes, this is a zero-probability event. But it did happen. It was just very, very unusual.

The stock market

I use some of my time (a significant part, by the way) to try to understand the stock market. This has not been a straightforward task this year.

Today, the global stock market is 13% percent above its January 1 value, the US stock market is 18% higher, and the Danish stock market 29% higher (MSCI country indices). Given that we have been through the worst recession ever, and that the recession is not officially over yet, this is not what one would have expected prior to the events.

Then, on the other hand, in hindsight it is perhaps not so strange. The recession has been the worst on record, yes. But, we have also had the fastest growth in economic activity on record. I argued (link) that if we imagine that the recession ended in late April, when economic activity bottomed out, the behavior of the stock market fits perfectly well with the historical evidence on the behavior of the stock market.

Central banks have certainly played their role, too. When markets melted down in March, central banks intervened heavily. In contrast to the financial crisis of 2008, it was not banks that were in trouble this time, but firms. Firms could not sell their goods and services due to the lockdown. The limitless purchases of government bonds that central banks have become used to during and after crises thus probably did not do much good (evidence came out that central bank purchases of government bonds are less effective than we are often told, link ). What turned things around, instead, was the announcement on March 23 that the Fed would facilitate credit to firms (link). This was a new policy tool. It led to a complete turnaround of events. I produced this graph (I still think it is a supercool graph): 

Difference between yields on ICE BofA AAA US Corporate Index and 3-month Treasuries (Left hand axis) as well as the SP500 inverted (Right hand axis). Both series normalized to one on January 2, 2020. Vertical line indicates March 23.
Source: Fed St. Louis Database

The graph shows how the stock market lined up with credit spreads. Firms were suffering, and their credit spreads started widening, in late February. The stock market suffered. The Fed announced it would provide credit to firms on March 23. Credit spreads tightened. The stock market cheered. The graph summarizes how the Fed saved credit and equity markets. And, strikingly, the Fed did so by merely announcing they would intervene. Up until today, the Fed has not intervened a lot. In this sense, it was a “Whatever it takes moment of the Fed”.

It should be mentioned that the Fed announced other initiatives on March 23, too, such as the Main Street Lending Program (link) and the Term Asset-Backed Securities Loan Facility (link). The Corporate Credit Facilities were the ones that directly targeted corporate bonds, though. Due to the nature of this crisis, the stock market lined up with credit spreads during this crisis, as the above graph reveals, emphasizing the importance of the announcement of the Corporate Credit Facilities.

Eurozone troubles, or rather no Eurozone troubles

The fact that we have not had to talk a lot about the risk of a Eurozone breakup since summer has been a positive surprise. In spring, there was talk about the risk of a Eurozone crisis. Like so often before, Italian sovereign yields rose relative to German sovereign yields. There was reason to be anxious. I argued that “Some kind of political solution at the EU level would be needed” (link).

This we got. The European Union agreed on a “Recovery and Resilience Facility” (link) that includes both loans and grants. EU has moved one inch closer towards a common fiscal policy. Who will pay is not clear, but EU has shown solidarity. I believe this is positive. At the same time, the European Central Bank continued its interventions and bought a lot of Italian debt. This has kept yields on sovereign bonds low. Here is the Italian-German yield spread during 2020:

Italian yield spread towards Germany. Ten-year government bonds. Daily data: January 2, 2020 – December 21, 2020.
Data source: Thomson Reuter Datastream via Eikon.

Italian yields have been falling continuously since summer, when the EU agreed on its recovery plan. It is positive that we have not had to discuss Eurozone troubles. We have had so many other troubles. Whether this means that we do not have to discuss Eurozone troubles again at some point, I am less sure. But, that is for another day.

Banks have been doing OK

The risk of a Eurozone breakup did not materialize. Another risk that did not materialize was the risk of systemic bank failures. This is positive as well, as economic activity suffers so much more when banks run into trouble and credit consequently does not flow to its productive uses.

During the worst days in March, stress in the banking system intensified. For instance, the spread on unsecure interbank lending increased relative to secure lending:

The TED spread. Difference between 3-Month USD LIBOR and 3-Month US Treasury Bills. Daily data: January 2, 2000 – December 14, 2020. 2020 encircled.
Data source: Fed St. Louis Database.

Stresses lasted only a few days, though. During the financial crisis in 2008, on the other hand, spreads remained elevated for much longer. This time, trust in the banking system was quickly reestablished.

I think I am allowed to claim that this was one of the predictions I got reasonably right. In autumn 2019, when nobody knew about the upcoming crisis, I wrote a policy paper on the Nordic financial sector. It was presented in December 2019 and finally published in June this year (link). I argued that banks are safer today, compared to 2008. Some doubted my conclusion and said, “just wait until the next crisis, then you will see that banks are not safer today”. Well, few months later we had the worst recession ever. Luckily, though, we have not had bank-rescue packages and we have not had to bail out banks. Banks have been withering the storm. In some instances, banks have even been part of the solution by showing flexibility towards troubled firms. I am not saying everything is perfect, but I am saying that the situation has been very different from the situation in 2008. On a personal note, this made me happy, too, as it would have been somewhat embarrassing if banks had failed at the same time I published an analysis arguing that the banking sector is safer. This, luckily, did not happen. Instead, the banking system turned out to be far more resilient than in 2008, as I predicted.

You may add that the Fed rescued markets during spring, as mentioned above, and thereby rescued firms and subsequently banks. True, but there was certainly also tons of rescue packages in autumn 2008. Banks nevertheless failed in large numbers in 2008. They did not this time around. Perhaps, thus, we did learn something from the financial crisis of 2008, and have gotten some things right. This would be no small achievement.

US election and Brexit

There have been other events, for instance the US election and Brexit negotiations. In normal years, such events would potentially have been among the most important events for markets and the economy. This year, the pandemic has certainly been more important. I did manage to write a post on the US election and the stock market, though (link). I discussed evidence that stock markets perform better under Democratic presidents. Only time will tell whether the same will happen under Biden.  

I did not manage to find space to discuss Brexit, but we got a trade agreement on Dec. 24 (link). Hopefully, the EU and UK can now move on.

The cost of the crisis

It is impossible to summarize the pandemic in one number or one word. Hence, I will not attempt to do so. But, I did present a calculation of the expected cost of the crisis in Denmark (link). I arrived at DKK 336bn, or app. USD 10,000 per Dane. This calculation generated some attention in Denmark.

One can discuss every single assumption one needs to make when calculating the expected cost of a crisis: What is the value of a statistical life? What is the value of a statistical life of those who pass away due to COVID-19, i.e. who are typically above 80? What is the past loss as well as the expected future loss in economic activity due to the crisis? Does it make sense to present one number when there is so much uncertainty? And so on. These are all fair points, but if we want to have a meaningful discussion of the impact of the crisis, we have to start somewhere.

In my calculation, I closely followed the assumptions of Cutler & Summers, such that US numbers and Danish numbers can be compared. This allowed me, for instance, to conclude that the cost of the crisis in Denmark, most likely, will be much lower than the cost of the crisis in the US.

Conclusion

I must admit I find it difficult to end this last post of 2020 on a happy note. Right now, at the time of writing, the situation is bad in the country I live, Denmark, and in many other countries in Europe and around the world. Numbers of new cases and deaths have been rising recently, or are on the rise again, and more and more restrictions and lockdowns are being imposed. Days are grey and short. The crisis has already been tremendously costly and it is clearly not over yet.

Nevertheless, I will try to end the post on a positive note. It gives me hope that several countries have started vaccinating people, and it seems to be working well. Finally, the EU also starts vaccinating people now. This has taken way too long, however, given the severity of the crisis and the fact that other countries started weeks ago. And, yes, every day counts. If it is correct, though, and I deliberately write if, that the EU has failed when it comes to the approval process and purchase of vaccines, as the normally well-informed and serious magazine Der Spiegel claims (link), it is a scandal. Biden aims to vaccinate 100m Americans within his first 100 days in office (link), close to a third of the US population. As things look now, it seems unlikely that we will be able to achieve the same in Europe. Christmas is all around us, though, so let us hope that somehow things will develop in the right direction.

Therefore, let me focus on the bright side. With the jabs, the situation will most likely start to improve within a not too distant future. I will try to convince myself that I see weak light at the end of the long and dark tunnel, even when we probably have to wait many months before things really calm down. Days are at least getting longer. I will focus on this, then.

With this, which is meant to be a positive message, let me thank you all for reading this blog and for sending me many encouraging mails with feedback. Please keep on doing so – it is highly appreciated.

I conclude by expressing hope that next year will be considerably more joyful than the one we leave behind.

Happy New Year!

The cost of this crisis

The corona crisis has caused a loss of economic activity. To calculate the total economic cost of this health-induced crisis, we must factor in health-related costs. Based on calculations for the US by Cutler & Summers, this post calculates the economic cost of the crisis in Denmark. Many uncertainties surround such calculations, and I discuss those. It seems a robust conclusion, though, that the cost of the crisis in Denmark will be considerably smaller than the cost of the crisis in the US. The broader implication of this result is that there is considerable variation across countries in the economic cost of the pandemic.

Economic activity suffered dramatically during spring, and it will take time before economic activity has recovered to its pre-crisis growth trend. In addition to the loss of economic activity, we must take into account health-related costs, if we want to estimate the total economic cost of the crisis. This is no easy task. Inevitably, it will be based on a number of assumptions. In a recent Journal of the American Medical Association article, Harvard University Professors David M. Cutler and Lawrence H. Summers (link, link) present a calculation of the total economic cost of the corona crisis in the US. Their calculation takes into account both the cost of lost economic activity as well as the economic value of premature mortality, the economic value of health impairments, and the economic value of mental health impairments.

Cutler & Summers (CS) find huge economic costs of the corona crisis in the US. They estimate the economic cost at USD 16 trillion. This is 90% of US GDP. This exceeds the cost of the financial crisis in the US by a wide margin, Cutler & Summers argue.

This post presents the first calculations of the cost of the crisis in Denmark. I follow the procedure of Cutler & Summers, but use Danish data. Knowing results from other countries, we will be able to better judge whether results for the US are globally representative.

I stress that these are first calculations and that uncertainties surround them. But, if we want to have a meaningful discussion of the cost of this crisis, we have to make assumptions, and then discuss their robustness. I do so.

Lost GDP

The first component of the calculation of the economic cost of the crisis is loss of economic activity. CS look at forecasts for US Gross Domestic Product from the Congressional Budget Office right before the crisis and compare it with the latest forecasts. The difference is the loss of economic activity. CS calculate a loss of USD 7,600bn. This corresponds to 35% of US pre-crisis GDP.

In Denmark, the Danish Economic Councils publish independent forecasts for Danish GDP. In their latest autumn 2020 report, the Councils publish figures for the expected development in structural Danish GDP, had there been no corona crisis. They also estimate expected GDP as of now. The results are here:

Danish GDP forecasts. DKK billions. Autumn 2020 forecast (“GDP”) vs. expected path of structural Danish GDP assuming no corona crisis.
Source: Danish Economic Councils

The difference between now-expected GDP developments and expected GDP developments without the corona crisis is the loss of Danish economic activity due to the crisis. This amounts to DKK 214bn (app. USD 40bn) for the years between 2020 and 2024, when Danish GDP is assumed to have recovered to its without-corona crisis structural trend. This loss of economic activity corresponds to approximately ten percent of Danish 2019 GDP.

One reason why the loss of economic activity in Denmark is expected to be considerably smaller than the loss in the US (10% in Denmark vs. 35% for the US) is that the Congressional Budget Office (CBO) expects the loss of economic output to persist in the US. CS reproduce this figure from the CBO:

US GDP forecasts. July 2020 forecast vs. January 2020 forecast.
Source: Cutler & Summers (2020).

Even ten years out, in 2030, US GDP is expected to be lower than its pre-crisis expected growth path. This is different in Denmark. In Denmark, the most recent forecast indicates that economic activity will have recovered in 2024. This reduces the loss of GDP in Denmark, relative to the US.

Cost of premature mortality

Deaths add to the economic cost of the crisis. CS note that 190,000 Americans had passed away due to Covid-19 by late September 2020. This is 0.06% of the US population.

In late September, when CS wrote their report, 5,000 Americans passed away per week as a result of Covid-19. CS expect this to continue for another year, i.e. an additional 260,000 deaths. CS estimate excess non-Covid-19 deaths at 40% of Covid-19 deaths. This means 1.4 x 450,000 = 625,000 American deaths.

In the US, a statistical life is estimated at USD 10m. CS reduce this by 30% to be conservative. All in all, this results in an economic costs of USD 4.4 trillion due to premature mortality. This is 20% of US GDP.

In Denmark, 816 have passed away as a result of COVID-19, at the time of writing this post (early December). In late September (to compare with the CS US figures), 650 had passed away. This is 0.01% of the Danish population.

This figure shows daily deaths due to Covid-19 in Denmark since March 2020:

Daily Covid-19 associated deaths in Denmark.
Source: https://en.ssi.dk/.

During the last couple of weeks, around 25 Danes have passed away because of Covid-19. Assuming, like CS, that this will continue for another year, this accumulates to 1,300 additional deaths. Assuming 40% excess non-Covid-19 deaths, like CS, results in 2,900 deaths over the next year.

In Denmark, a statistical life is estimated at DKK 34m (link). This corresponds to app. USD 5m. In other words, the value of a statistical life in Denmark is only half the value of a statistical life of an American. To be conservative, like CS, I use 70% of this. This gives an economic cost resulting from premature deaths of DKK 79bn. This is around 4% of Danish GDP. I.e., again, the loss in Denmark seems to be considerably smaller than the comparable loss in the US (4% of GDP vs. 20% of GDP). This is because fewer Danes are expected to pass away because of Covid-19 and because the value of a statistical life is assumed to be considerably smaller in Denmark.

Health impairments

Some of those surviving Covid-19 will face significant long-term health complications. CS mention that there are approximately 7 times as many survivors from severe or critical Covid-19 diseases as there are Covid-19 deaths, and that a third of these will experience long-term complications. CS assume that the cost of this is 35% of a statistical life and that it lasts for one year. This adds USD 2.6 trillion, or 12% of US GDP.

In Denmark, using the procedure of CS, expect 2,100 deaths, as mentioned above. This means 4,900 individuals with long-term health impairments over the next year. Assuming that the complications last for one year, and assuming an economic cost of complications of 35% of a statistical life, this means an economic loss of DKK 41bn, or 2% of GDP. Notice, like CS, I use the conservative value of 70% of a statistical life, i.e. 35% of 0.7 x 34m.

Mental health impairments

Many people get anxious or fell depressed during the pandemic. This could be because people need to isolate at home, and thus face loneliness, because of fear of losing your job, i.e. economic insecurity, fear of contracting the virus, etc. CS report that 40% of American adults have reported symptoms of depression or anxiety during the corona crisis. Normally, CS report, 11% of Americans report these symptoms. CS report that previous studies evaluate the one-year cost of depression and anxiousness at USD 20,000 per case. This amounts to an additional cost of USD 1.6 trillion, or 7.5% of US GDP, for the corona crisis.

In Denmark, we do not have official data on the number of people feeling anxious or depressed during the corona recession. What we do have, on the other hand, is the comprehensive health report of the Danish population from 2015 that also estimates the economic costs of a number of diseases in Denmark (link).

This report mentions that 136,000 Danes suffer from anxiousness and 91,000 from depression (in 2012). In total, around 4% of the Danish population. The report calculates an aggregate cost of lost economic activity of DKK 8.6bn for anxiousness and DKK 3bn for depression, primarily as a result of early retirements. These costs relate to 2012. Since then, inflation has been 7% in Denmark, i.e. the 2020 value is DKK 12.4bn (app. USD 2bn), assuming the same number of depressed and anxious individuals. CS assume an almost fourfold increase in the number of individuals facing depression and anxiousness because of the corona crisis. Given that this number is associated with a large degree of uncertainty in Denmark, and because one might hope that many people will recover, as this is a temporary crisis, such that not all of them will enter into early retirement, I double this number (in contrast to CS who assume a fourfold increase). I.e., I assume that the economic cost of mental health impairment amounts to DKK 24bn (app. USD 4bn), or app. 1% of Danish GDP.

Total costs

In total, taking into account the loss of economic output as well as health costs, reflecting both premature deaths, long-term health impairments, and mental health impairments, the economic cost of the pandemic in Denmark amounts to DKK 336bn, or 16% of Danish GDP:

This corresponds to approximately DKK 60,000 per Dane (app. USD 10,000). For a family of four, this means that the economic cost of the crisis is app. DKK 240,000 (app. USD 40,000).

Implications

A number of implications follow from these calculations:

  • A cost to society of 16% of GDP is an enormous cost.
  • With this in mind – that a 16%-GDP cost is enormous – it also follows immediately, on the other hand, that the cost of the pandemic in Denmark is considerably smaller than the cost of the pandemic in the US. CS find, as mentioned, that the cost of the pandemic in the US will amount to 90% of US GDP. For Denmark, I find it will be 16% of Danish GDP. This implies that there is considerable variation across countries in the expected cost of the pandemic. Or, in other words, that it would be a mistake to assume that the cost of 90% GDP found for the US is a globally representative figure.
  • There are several reasons why the cost of the pandemic is considerably lower in Denmark:
    • Danish GDP is expected to recover faster than US GDP. Danish GDP is expected to have recovered in 2024. On the other hand, US GDP is not expected to recover (reach its pre-crisis growth trend) within the next ten years. This implies a larger negative effect of the pandemic on the US economy.
    • Fewer individuals have passed away in Denmark due to the pandemic. In late September, 0.06% of the US population had passed away. In Denmark, “only” 0.01% had passed away. This reduces the cost of premature mortality in Denmark.
    • The value of a statistical life is lower in Denmark. According to CS, in the US, it is USD 10m. In Denmark, it is USD 5m. This also reduces the cost of premature mortality in Denmark.
    • The numbers indicate that fewer people in Denmark will face health impairments, compared to the US. This also reduces the economic costs in Denmark, compared to the US.
  • CS find that the cost of the pandemic exceeds the cost of the financial crisis by a large margin. In 2012-2013, I chaired the official committee investigating the causes and consequences of the financial crisis in Denmark (link). We found that the financial crisis – at the time of writing the report in 2013 – had caused a DKK 200bn reduction in GDP. In 2008, when entering the financial crisis, Danish GDP was DKK 1,800bn, i.e., the accumulated loss up until 2013 amounted to 11% of pre-financial crisis GDP. Given that Danish GDP had not recovered to its pre-crisis trend in 2013, the final loss of the financial crisis is larger. It seems that the economic cost of the financial crisis and this pandemic will be, more or less, equal.

Uncertainties and assumptions

Many uncertainties surround the calculations presented above. In this section, I discuss some of them and their consequences. Notice as a starter, though, that by relying on the assumptions of CS above, I am able to compare results for Denmark with results for the US. If using other assumptions than CS, this is less straightforward. This – that it is easier to compare across countries when using the same underlying assumptions – is an argument for using the CS assumptions. Nevertheless, to see how sensitive results are, let us discuss what happens if using other assumptions.

Will Danish GDP have recovered in 2024, as the Danish Economic Councils expect? If not, the cost will be higher. If sooner, the cost will be lower.

Will 25 Danes pass away per week over the next year? This seems like a high number these days, given that we expect vaccines to be ready within the next few weeks. If “only” 650 (i.e. half the assumed number in the base-line calculations) additional Danes pass away, the cost of premature mortality will be reduced from DKK 71bn to DKK 49bn, and, all other numbers equal, the total cost will be reduced to DKK 300bn, or 14% of GDP. I.e., the baseline calculation is reasonably robust towards this adjustment.

The cost of mental health impairments in Denmark is associated with considerable uncertainty in this calculation, as we do not have official numbers for how Danes have been affected by depression and anxiousness during this pandemic. The overall baseline calculation is reasonably robust towards this number, though. For instance, I double the 2012 number in the baseline calculation. If I multiply with three, i.e. assume even more people are affected by mental health challenges, the total cost increases from 16% of GDP to 17% of GDP.

Finally, I, like CS, assume that the cost of premature deaths is 70% of the value of a statistical life. More than half – 52% – of Covid-19 related deaths in Denmark have been above 80 years old. Even when I, like CS, mark down the value of a statistical life by 30%, the number might still seem high. Reducing this further would of course lower the total cost of the pandemic marginally.

Conclusions and policy implications

This post presents first calculations of the expected economic cost of the Covid-19 pandemic in Denmark. Taking into account the direct effects on GDP, as well as the economic value of premature deaths and health consequences, I expect the economic cost of the pandemic to be 16% of Danish pre-crisis GDP. The calculation is based on a number of assumptions, but the overall figure seems robust to reasonably variations in these assumptions.

Harvard Professors Cutler & Summers expect that the cost of the pandemic in the US amounts to 90% of US GDP. The cost in Denmark will most likely be considerably smaller. Only a fifth of the cost in the US. This is due to a faster economic recovery in Denmark, a lower number of deaths in Denmark, a lower value of a statistical life in Denmark, and lower associated health costs. This large difference between the US and Denmark implies that there is considerable cross-country variation in the cost of the pandemic.

Cutler & Summers argue that the cost of this pandemic will exceed the cost of the financial crisis in the US. In Denmark, it seems that the cost of this pandemic will correspond, more or less, to the cost of the financial crisis.

Even when the cost of the pandemic in Denmark is considerably lower than the cost in the US, the cost is still enormous. 16% of GDP is a very large figure. For a family of four, it corresponds to DKK 240,000 (app. USD 40,000).

When the cost is high, it becomes even more important to roll out vaccines as fast as possible, as soon as health authorities have approved them. Call in retired doctors, call in retired nurses, use all available working personnel, and pay them all handsomely to work 24/7 in order to vaccinate as many as possible as quickly as possible, from a health perspective and an economic perspective. This will help contain the already very high cost of this pandemic.

How stable is the Nordic financial sector?

In 2008, banks were too fragile given the risks on and off their balance sheets. Many banks failed, others were rescued by governments/taxpayers. The societal costs were enormous. In a new publication, I evaluate the robustness of the Nordic financial sector today. I conclude that the Nordic financial sector is more robust than in 2008. This is important because we are currently going through a severe recession. If banks today were as weak as in 2008, this recession would have been even worse.

Once a year, Nordregio publishes the Nordic Economic Policy Review. The theme of this year’s publication is “Financial Regulation and Macroeconomic Stability in the Nordics”. Because of my experience from analyzing the financial crisis in Denmark in 2008 (I chaired the government-appointed committee that investigated the causes and consequences of the financial crisis in Denmark, the Rangvid-committee, link), I was asked to write the first paper in the publication (link), assessing the robustness of the Nordic financial sector today.

It is a policy paper. No fancy equations and regressions, but straight-to-the-point analyses and conclusions. The Review was published Tuesday, June 16. At its launch, I participated in a panel debate with, among others, two former deputy-governors at Riksbanken (the Swedish central bank), a former governor at Riksbanken, and myself. In this post, I review my main conclusions and relate them to this crisis.

An ironic incident
I start my paper emphasizing that it is difficult too foresee financial crises.

As an example, the first-page headline – typed in large bold letters – in the 2008 Financial Stability Report of Nationalbanken (the Danish central bank) was: ‘Robust Financial Sector in Denmark’. The Financial Stability Report analyzed the robustness of the Danish financial sector. It was published in May 2008, i.e. only a few months prior to the outbreak of the worst financial crisis since the 1930s. Half of Danish banks disappeared following the financial crisis of 2008.

Even if this headline probably still haunts Nationalbanken, Nationalbanken was not alone in not foreseeing the financial crisis. On the contrary. Financial crises are almost per definition unpredictable. If it was generally accepted that a financial crisis was in the making, action would surely be taken to prevent it. In this sense, we tend to become surprised each time.

The first version of my analysis was written in autumn last year. The final version was submitted in January this year. Right before the corona crisis.

I had not seen the corona crisis coming. In particular, I had not seen how severe it would be. Clearly, I was not alone either. Financial markets, for instance, had not seen it, and financial markets summarize the average views of all investors. Stock markets, credit spreads, stress indicators, etc. did not react before the crisis was in fact happening. So, was my assessment of the financial sector in January – that I present below – “robust” in light of the events that have happened? I will return to this in the end.

Why an important question?

If financial crises, and more generally stress in financial systems, are so hard to predict, why do we bother? There is one main reason: The societal costs associated with financial crises are enormous.

In the paper, I present new calculations of the societal losses resulting from financial crises in the Nordics. I do as follows. Societal losses are calculated as forgone economic activity due to financial crises. And this, forgone economic activity, I calculate by projecting economic activity, from the start of a financial crisis, by the growth rate of economic activity. The result is a path of economic activity in the hypothetical event that there had been no crisis. I contrast this with actual economic activity during the crisis. The difference is the cost of the financial crisis.

In the paper, I present results from such calculations for Denmark, Finland, Norway, and Sweden for the crises in the early 1990s and the crises in 2008. Let me present just one of the calculations here. This figure shows the result for Denmark for the 2008 crisis:

GDP and hypothetical non-crisis GDP for Denmark.
Data source : St. Louis FRED database.

The blue line shows developments in real per capita GDP (in USD to allow for a comparison across the Nordics) whereas the red line shows hypothetical GDP assuming no crisis. Before the crisis, real GDP per capita was developing steadily around the growth trend. The crisis changed this dramatically. GDP fell 5% during the crisis, itself a huge drop in GDP. On top of this, however, the recovery was slow. In 2018, ten years after the crisis, GDP had not recovered to the level that could have prevailed had there been no crisis. In fact, ten years after the crisis, the accumulated difference between hypothetical no-crisis GDP and actual GDP amounts to 91% of GDP in 2008. One year of GDP was lost due to the crisis.

I present these calculations for the other Nordic countries and other crises. The editors of the publication, Lars Calmfors and Peter Englund, in their introduction, summarize the results as follows: “Losses accumulate to a staggering one or two years of economic output”. This is why it is important to deal with financial crises.

In the paper, I describe the underlying causes behind the crises in the Nordics, as well as similarities and differences across countries. I skip this here. Read the paper to get it.

Risks assessment

As the next step, I venture into a kind of risk assessment.

Literature on financial crises concludes that even when it is difficult to foresee crises, some variables tend to be more informative about risks to financial stability than others are. I mainly discuss credit growth, house price growth, and household leverage. I conclude that lights are not flashing red.

Credit growth is the indicator to which most attention is typically paid. For instance, credit growth is the most important indicator when the counter-cyclical capital buffer is determined in the new Basle capital-regulation regime. Credit growth has been low during recent years.

House prices and household leverage are other important indicators. In the Nordics, they have been growing for almost three decades. House prices are currently high, as are levels of household debt.

At the same time, it is difficult to use an indicator that has been increasing for almost three decades as a predictor of the timing of a turnaround. The literature typically uses a three-year window for house-price growth when predicting crises. House-price growth has not been particularly strong during the recent couple of years.

So, house prices and household debt levels are high today. But twenty years ago, they were higher than they were thirty years ago. And, ten years ago, they were higher than they were twenty years ago. Today, they are higher than they were ten years ago. It is very difficult to say when the level is “too high”, in particular when interest rates have been fallen throughout the last thirty years, too (I return to this below). Had there been an explosion in house prices during the last couple of years, like prior to the 2008 crisis, it would have been a different matter. But this is not the case.

I conclude that house prices and levels of household debt are high but their developments are not particular useful to predict the timing of a crisis, and thus not supporting a conclusion that “a crisis is around the corner”

Robustness of the financial sector

Traditional indicators of risks to financial stability are not flashing red in the Nordics, but my introductory point was that crises tend to arise in unforeseen ways. The financial system should thus be robust to withstand unforeseen shocks. Prior to the 2008 financial crisis, the financial system was clearly not resilient enough. Banks “too large to fall” had to be rescued by governments and taxpayers. As a consequence, increasing the resilience of the financial system has been high on the agenda since the financial crisis.

Capital and liquidity requirements have been tightened, stress tests are conducted more systematically now, assuming even more severe stresses than assumed in stress tests conducted before 2008, restructuring and resolution regime have been introduced, macroprudential instruments employed, etc. I conclude that the financial system in the Nordics is more resilient today. This graph is just one way of illustrating this:

Capital ratios of selected large Nordic banks, before and after the 2008 financial crisis.
Data source: Eikon.

The graph shows capital ratios of selected large Nordic banks before (2006) and after (2018) the financial crisis. Prior to the financial crisis, large banks financed around 8-10% of their risk-weighted assets with equity. Today, the ratio is between 18-20%. In other words, capitalization of banks has been basically doubled since the financial crisis.

Causes for concern

Does all this (no lights flashing red and a more resilient financial sector) mean that there is no cause for concern? That would be going too far.

I am concerned by the current low-interest rate environment. Or, rather, I am concerned about the consequences if interest rates at some point start rising.

Today, interest rates are very low in an historical content. I use this graph to illustrate:

Monetary policy rates in the Nordics.
Data source: Datastream via Eikon.

The figure shows monetary policy rates in the Nordics since the early 1990s. Rates have been constantly falling, reaching negative territory in Denmark and Sweden (Sweden now back at zero again).

As mentioned above, house prices and debt levels have been increasing for app. 30 years in the Nordics, most likely driven by the fall in interest rates. Higher house prices and levels of debt might be justifiable when interest rates are low, but should interest rates rise, they might not be sustainable any more. Furthermore, asset prices are even more sensitive to the interest rate when interest rates are low. This means that it takes less of an interest rate increase to cause drops in assets prices (such as house prices) at low levels of the interest rate. Interest-rate risk is important to monitor, in my opinion.

On the other hand, if interest rates stay low, this might squeeze bank profits, if banks are unwilling to pass on low or negative interest rates to customers. This seems to be the case. In spite of negative policy rates since 2012 in Denmark, it was only in 2019 that Danish banks started charging negative deposit rates towards retail customers, and still only on large deposits (typically above EUR 100,000). An incomplete pass through of negative rates hurts bank profits, squeezing their resilience.

Finally, in the paper, I discuss briefly the possibility that the next crisis might arise in nontraditional banking areas, such as the emergence of credit extension by non-regulated financial institutions or cyber risks.

Discussion

The publication (Nordic Economic Policy Review) also includes great comments from two discussants of my paper: Anneli Tuomenin, CEO of the Finnish Financial Supervisory Authority and Peter Englund, Professor at the Stockholm School of Economics. Both largely agree with my assessment that the Nordic financial system is more robust today. Anneli is, though, perhaps even more worried than I am about the current low interest rate environment and outlines an additional number of non-traditional risks, such as climate risk and cyberrisk. Peter discusses whether banks really are that much better capitalized today (has capitalization gone up or risk weights down?) as well as additional risks associated with low interest rates. Read their comments. The main point is, I believe, that all of us share the view that we are particularly concerned about risks associated with low levels of interest rates.

The publication also contains additional interesting articles on the banking union, on macro prudential regulation, on monetary policy and household debt, on bail-in instruments, and other interesting topics. If you are interested in financial stability, the publication should be a must-read.

Lessons in light of the corona crisis

As mentioned, I wrote this paper in January 2020, right before the outbreak of the corona crisis. In the paper, I conclude as mentioned that the financial sector is more resilient today than in 2008. Now, we are in the midst of a recession that will cause a considerably larger fall in economic activity (on the short run) than during the financial crisis in autumn 2008. In autumn 2008, banks went belly-up and many had to be rescued. What has happened this time around? No bank has gone bankrupt, no banks have been saved, spreads are up on financial markets but not as much as in autumn 2008 (they were briefly in March, but came down quickly again). In autumn 2008, banks cut lending dramatically. Today, banks are helping customers getting through the crisis. I think this is important to emphasize, as you can still find people who argue that banks are not much more robust than they were in 2008. I judge that they are.

I am not saying that all banks will survive this, and I am not saying that we will not face any threats to financial stability. But I am saying that, given the fact that this recession is even deeper (on the short run) than the 2008 recession, and the fact that we are not witnessing the problems we did in 2008, this indicates – at least until now – that the financial system is more resilient today. Of course, should the situation turn to the worse, e.g. with a new wave of the virus, things will look different.

Webinar

The paper was presented at a webinar on June 16, 2020. The presentation was followed by a panel discussion on “Will the corona crisis also trigger a financial crisis?”. Panelists included Karolina Ekholm, Stockholm University and former deputy-governor at Riksbanken, Lars Heikensten, the Nobel Foundation and former governor of Riksbanken, Kerstin Hessius, CEO of the Third Swedish National Pension Fund and former deputy-governor at Riksbanken, and myself. The panel was moderated by Peter Englund. It was an interesting debate.

The price of a lockdown

Has the lockdown been too strict and have we paid too high a price (in terms of forgone economic activity) as a result? Evidence from Denmark and Sweden helps answering this important question.

The fact that the number of deaths associated with Covid-19 falls in many European countries is unbelievably good news. As a result, European economies are opening up again. This is also good news. What is perhaps somewhat surprising, though, is that the number of deaths and new cases has not started climbing after opening up. This raises the question whether too many sectors were shut down and we, consequently, paid too high a price to contain the virus. Evidence from Denmark and Sweden suggests that the price was probably not as high as one might intuitively have expected.

Covid-19 in Denmark

The Danish prime minister announced the lockdown of Denmark on March 11. Death numbers kept climbing until early April, but has fallen steadily since then, as this figure shows

Number of new deaths in Denmark. Rolling 5-days average. Vertical lines indicate April 15 (primary schools opened), April 20 (dentists etc. opened), May 11 (retail shops opened), and May 18 (restaurants opened).
Data source: Statens Serum Institute. https://en.ssi.dk/

The fact that Covid-19 seems to be under control in Denmark is obviously very good news.

The lockdown has been costly, though. Jobs have been lost, firms have closed down, incomes have fallen, etc. Public debt levels will increase significantly.

Denmark started opening up again in mid-April. On April 14, private corporations that had been asked to encourage people to work from home were now encouraged to let workers return to their offices, subject to suitable safety measures. On April 15, kindergartens and lower primary schools opened up, and on April 20, hairdressers, dentists, etc. were allowed to open. If the lockdown helped contain the virus, one would have expected to see a rise in deaths and new cases after easing the lockdown. This has not happened.

On May 11, retail shops opened. On May 18, restaurants. Again, if the lockdown was the primary reason why the virus stopped spreading, we should have seen the number of new cases increase after opening up. This we have (luckily) not.

Given that the number of deaths and new cases has been constantly falling since opening up, one may wonder whether the lockdown was too strict. It seems that voluntary social distancing, avoiding large crowds, and the washing of hands have been perhaps even more important. Doctors and scientists wonder whether the virus has mutated and turned less infectious, or warmer weather in April and May has caused a slowdown in new cases, but if I understand what they are saying, they believe that hand washing (and related precautions) is a main reason why numbers fall.

If this is true, we need to ask the question whether it was necessary to keep children and workers at home and close down as much as we did. Whether the economic costs have been too high. This is a sensitive and difficult question, though, because it requires that we evaluate how much economic activity would have fallen had we not shut down as much as we did. Surely, people would have cut consumption anyhow, as people would have been afraid of the virus itself and its consequences. So, what was the extra price we paid because of the lockdown?

Evidence from a clever study

A clever study (Link) by University of Copenhagen researchers Asger Andersen, Emil Hansen, Niels Johannesen, and Adam Sheridan helps us answering this question.

Asger, Emil, Niels, and Adam compare spending by Danes and Swedes. Denmark and Sweden are similar along many dimensions, but have followed different strategies when it comes to Covid-19. Denmark enforced a strict lockdown, as mentioned, whereas Sweden has kept primary schools, restaurants, bars, etc. open (though did close universities and encouraged working from home). If the lockdown was the main cause of the recession, economic activity should have suffered more in Denmark than in Sweden. Andersen et al. use individual bank-account data from a large Danish bank that operates in both Denmark and Sweden (Danske Bank) to address this question. They track spending of 860,000 individuals before and during the lockdown, studying their use of cards, cash withdrawals, mobile wallets, etc. They compare spending of Danes and Sweden from mid-March (when Denmark shut down) through early April. This figure contains their most important result:

Data source: Andersen, Hansen, Johannesen, and Sheridan (2020).

The figure shows that spending of Danes fell 29% compared to a hypothetical spending path without the Covid-19 pandemic. A 29% contraction is enormous. But, and this is the main point, spending by Swedes fell by almost as much, 25%. This means that Danes cut spending by “only” 4%-points more than Swedes. Swedes could continue visiting restaurants, schools, etc., but Swedes cut spending dramatically nevertheless. The causal effect on spending, resulting from the extra lockdown in Denmark, is 4%-points and considerably smaller than the effect of the virus itself.

One may debate whether 4% is a small or a large number. In normal times, we would say that a 4% drop in aggregate spending is large. The main cause of this recession, at least according to this study, was not the lockdown, though, but the virus. In other words, even if economies had not been shut down as much as they were, the contraction in economic activity would still have been very large.

The broader picture

The paper by Andersen et al. weighs in on an important debate about the underlying cause of this recession. Is it due to a reduction in supply or demand? Their results indicate that the demand effect is the important one. Spending drops even when supply is less constrained.

But the strict lockdown in Denmark did cause an extra 4%-point drop in spending. Was it worth it? Nobody knows, but research from the MIT (Link) on the 1918 pandemic indicates that areas in the US that took more drastic measures early on, in terms of social-distancing measures and other public health interventions, had stronger recoveries after the measures were eased. There is debate how strong this result is, though (Link).

If all this is true, i.e. that the lockdown was not the main cause of the recession, but the main cause was the virus itself and the fear it created, and that the recovery is stronger afterwards in countries that imposed stronger interventions, we should see forward-looking measures indicating this. Early data from the Danish and Swedish stock market seem to point in this direction, even if the evidence is admittedly very tentative and a fuller analysis is obviously needed. This figure shows the Danish and the Swedish stock markets surrounding the date of the lockdown.

Danish (OMX Copenhagen 25) and Swedish (OMX Stockholm 30) stock market indices. Vertical line indicates March 12, when Denmark was shut down.
Data source: www.nasdaqomxnordic.com

I have normalized the two stock-market indices to “1” on March 12, the day after the lockdown was announced in Denmark. The Danish and the Swedish stock markets followed more or less similar paths during March, but, since then, the Danish stock market has gained 29% whereas the Swedish market has gained “only” 20%. Again, one needs a more detailed analysis (the Danish stock market is heavily influenced by pharmaceuticals and other defensive stocks that do relatively well in downturns), but this early evidence indicates that stock market investors are more positive on the Danish stock market.

Furthermore, the number of deaths is currently much lower in Denmark than in Sweden (also on a per capita basis), which is of course also something to remember:

Denmark and Sweden vs. other countries

The idea of using credit-card and other payment-type information is great and has been used by a number of economists to obtain real-time information on the economic impact of Covid-19. Microdata indicate that consumer spending in France fell by 50% as a result of the virus (Link), in Spain by 50% (Link), and in the US by something like 50%, too (Link). It thus seems that the contraction in spending is somewhat smaller in Denmark and Sweden compared to other countries. The comments above should be viewed in this light.

In any case, a 30% or 50% drop in spending is a huge drop. But, a 50% drop in spending does not mean that overall economic activity drops by 50%. Overall economic activity includes public spending, exports/imports, etc. So, credit card transactions provide useful information about consumer spending, but cannot stand alone when judging overall economic activity.

Conclusion

At some stage, we need to evaluate carefully whether too much was shut down. Not to blame somebody, but to learn. It is important that we analyze thoroughly whether it is better to be very aggressive early on in a pandemic or whether less aggressive measures are enough. Currently, it seems that we shut down a little too much (and we are now too slow in opening up e.g. borders again), but that the price of doing so was not as high as one might have expected intuitively.

Live appearances

I have participated in a number of live appearances during the last couple of weeks, most of them in Danish, though.

I gave a webinar (in English) on the economic impact of the corona virus: Link.

I participated in a program (in Danish) on the consequences of the crisis on real estate prices: Link. I am on at 2:20, 14:05, 18:40, 21:20, 24:45. This is also described here: Link.

I participated in a program (in Danish) on the consequences of the crisis on savings: Link. I am on at 2.20, 6.30, 17.40, 26.30. It was a popular program. Around a third of Danes watching TV that evening tuned in.

I participated in a radio program (in Danish) on the global economic outlook: Link.