Sunday, May 31, 2020

HBR: "Why Economic Forecasting Is So Difficult in the Pandemic"

From the Harvard Business Review, May 18:

https://hbr.org/resources/images/article_assets/2020/05/May20_15_157440098-768x432.jpg
The coronavirus pandemic has introduced extreme uncertainty into nearly every aspect of society. Will health care systems hold up? Will scientists develop a vaccine? Are essential workers safe? When can regular employees go back to the office? The answers to these questions — when there are answers — seem to change daily. And with each change the stock market (and our hopes) rises or falls.

Since the Covid-19 pandemic began, we’ve seen pervasive uncertainty manifest in a sudden and massive divergence in macroeconomic projections. For example, in early February, the spread among economic growth forecasts for Q2 in the U.S. was 3.5 percentage points according to FocusEconomics data. By April 29, the most optimistic forecast among the 28 institutions in our weekly coronavirus survey saw the U.S. economy contracting 8.2%. The most pessimistic projected a huge 65.0% contraction — a spread of 56.8 percentage points — with an average of -31.4%. While most institutions expected a rebound in Q3, some saw further declines. And in Q4, although all economists projected growth of some form, forecasts ranged from a minimum of +1.1% and a maximum of +70.0%. The spreads observed in recent weeks are by far the widest recorded since we started covering the U.S. a decade ago.

Looking at countries with a longer time horizon, the current forecast spread among analysts is far larger than at any point during the past 20 years, and significantly above that seen during the height of the financial crisis — the last period of extreme, prolonged global uncertainty. For example, during the 2008 financial crisis, both Brazil and Mexico saw the spread for annual GDP forecasts widen to close to six percentage points, before returning to under three for most of the 2010s. The percentage point spread is now well over seven percentage points.

Why So Much Divergence?
The short answer to why there is so much divergence is because no one knows for sure what is going to happen. Digging deeper, three key factors are causing forecasters particular difficulties.
First, the economic impact and speed of policy changes have never been higher. In normal times, most governments can be relied on to at least attempt to encourage economic growth and preserve employment. Today, however, they are deliberately provoking recessions to save lives, and containment measures are crushing domestic activity. Simply miscalculating the end date of a nationwide lockdown by a couple of weeks throws annual GDP forecasts completely off-kilter.

Moreover, bills which generally endure months of parliamentary ping-pong are being rushed through legislatures in days as governments and central banks race to respond to the rapid advance of the virus. Many governments have adopted emergency powers allowing them to rule by decree. What’s more, the fiscal and monetary stimulus being announced to palliate the downturn dwarfs that seen during the financial crisis. For economic forecasters, keeping up with the constant flurry of measures and correctly incorporating them into models poses challenges....MORE