The Unassuming Economist

From a new AEI post by Mark J. Perry:

“Here are 18 examples of the spectacularly wrong predictions made around 1970 when the “green holy day” (aka Earth Day) started:

1. Harvard biologist George Wald estimated that “civilization will end within 15 or 30 years unless immediate action is taken against problems facing mankind.”

2. “We are in an environmental crisis which threatens the survival of this nation, and of the world as a suitable place of human habitation,” wrote Washington University biologist Barry Commoner in the Earth Day issue of the scholarly journal Environment.

3. The day after the first Earth Day, the New York Times editorial page warned, “Man must stop pollution and conserve his resources, not merely to enhance existence but to save the race from intolerable deterioration and possible extinction.”

4. “Population will inevitably and completely outstrip whatever small increases in food supplies we make,” Paul Ehrlich confidently declared in the April 1970 issue of Mademoiselle. “The death rate will increase until at least 100-200 million people per year will be starving to death during the next ten years.”

5. “Most of the people who are going to die in the greatest cataclysm in the history of man have already been born,” wrote Paul Ehrlich in a 1969 essay titled “Eco-Catastrophe! “By…[1975] some experts feel that food shortages will have escalated the present level of world hunger and starvation into famines of unbelievable proportions. Other experts, more optimistic, think the ultimate food-population collision will not occur until the decade of the 1980s.”

6. Ehrlich sketched out his most alarmist scenario for the 1970 Earth Day issue of The Progressive, assuring readers that between 1980 and 1989, some 4 billion people, including 65 million Americans, would perish in the “Great Die-Off.”

7. “It is already too late to avoid mass starvation,” declared Denis Hayes, the chief organizer for Earth Day, in the Spring 1970 issue of The Living Wilderness.

8. Peter Gunter, a North Texas State University professor, wrote in 1970, “Demographers agree almost unanimously on the following grim timetable: by 1975 widespread famines will begin in India; these will spread by 1990 to include all of India, Pakistan, China and the Near East, Africa. By the year 2000, or conceivably sooner, South and Central America will exist under famine conditions….By the year 2000, thirty years from now, the entire world, with the exception of Western Europe, North America, and Australia, will be in famine.”

9. In January 1970, Life reported, “Scientists have solid experimental and theoretical evidence to support…the following predictions: In a decade, urban dwellers will have to wear gas masks to survive air pollution…by 1985 air pollution will have reduced the amount of sunlight reaching earth by one half….”

10. Ecologist Kenneth Watt told Time that, “At the present rate of nitrogen buildup, it’s only a matter of time before light will be filtered out of the atmosphere and none of our land will be usable.”

11. Barry Commoner predicted that decaying organic pollutants would use up all of the oxygen in America’s rivers, causing freshwater fish to suffocate.

12. Paul Ehrlich chimed in, predicting in 1970 that “air pollution…is certainly going to take hundreds of thousands of lives in the next few years alone.” Ehrlich sketched a scenario in which 200,000 Americans would die in 1973 during “smog disasters” in New York and Los Angeles.

13. Paul Ehrlich warned in the May 1970 issue of Audubon that DDT and other chlorinated hydrocarbons “may have substantially reduced the life expectancy of people born since 1945.” Ehrlich warned that Americans born since 1946…now had a life expectancy of only 49 years, and he predicted that if current patterns continued this expectancy would reach 42 years by 1980, when it might level out. (Note: According to the most recent CDC report, life expectancy in the US is 78.8 years).

14. Ecologist Kenneth Watt declared, “By the year 2000, if present trends continue, we will be using up crude oil at such a rate…that there won’t be any more crude oil. You’ll drive up to the pump and say, `Fill ‘er up, buddy,’ and he’ll say, `I am very sorry, there isn’t any.’”

15. Harrison Brown, a scientist at the National Academy of Sciences, published a chart in Scientific American that looked at metal reserves and estimated the humanity would totally run out of copper shortly after 2000. Lead, zinc, tin, gold, and silver would be gone before 1990.

16. Sen. Gaylord Nelson wrote in Look that, “Dr. S. Dillon Ripley, secretary of the Smithsonian Institute, believes that in 25 years, somewhere between 75 and 80 percent of all the species of living animals will be extinct.”

17. In 1975, Paul Ehrlich predicted that “since more than nine-tenths of the original tropical rainforests will be removed in most areas within the next 30 years or so, it is expected that half of the organisms in these areas will vanish with it.”

18. Kenneth Watt warned about a pending Ice Age in a speech. “The world has been chilling sharply for about twenty years,” he declared. “If present trends continue, the world will be about four degrees colder for the global mean temperature in 1990, but eleven degrees colder in the year 2000. This is about twice what it would take to put us into an ice age.””

My new paper with Zidong An and Joao Jalles was just published in Manchester School:

“This paper assesses the performance of the IMF’s unemployment forecasts for 84 countries, both advanced and emerging market economies, between 1990 and 2015. The forecasts are reported in the World Economic Outlook, a leading IMF publication. The forecasts display a small amount of bias—they tend to predict lower unemployment outcomes than occur—which arises because the forecasters fail to predict accurately the sharp increase in unemployment during downturns. Forecasts are characterized by inefficiency (errors of the past are repeated in the present) and rigidity (forecast revisions are serially correlated). There is little to choose between IMF and Consensus Forecasts, a source of private sector forecasts, for the small subset of 12 countries for which both sets of forecasts are available.”

From a new working paper:

“We propose a method to measure people’s subjective models of the macroeconomy. Using a representative sample of the US population and a sample of experts we study how expectations about the unemployment rate and the inflation rate change in response to four different hypothetical exogenous shocks: a monetary policy shock, a government spending shock, a tax shock, and an oil price shock. While expert predictions are mostly quantitatively aligned with standard dynamic stochastic general equilibrium models and vector auto-regression evidence, there is strong heterogeneity in the predictions in the representative panel. While households predict changes in unemployment that are qualitatively in line with the experts for all four shocks, their predictions of changes in inflation are at odds with those of experts both for the tax shock and the interest rate shock. People’s beliefs about the micro mechanisms through which the different macroeconomic shocks are propagated in the economy strongly affect how aligned their predictions are with those of the experts. More educated and older respondents form their expectations more in line with experts, consistent with roles for cognitive limitations and learning over the life-cycle. Our findings inform the validity of central assumptions about the expectation formation process and have important implications for the optimal design of fiscal and monetary policy.”

From a new working paper:

“In most democracies the fourth estate, i.e., the news media, plays an important role in society. The media not only has the capacity of advocacy and implicit ability to frame political and economic issues, but it is also the primary source from which most people get information. In macroeconomics, expectations are center stage. But, expectations are shaped by information, and information does not travel unaffected through the ether. Rather, it is digested, filtered, and colored by the media. Surprisingly, however, the potential independent role of the media in the expectation formation process has received relatively little attention in macroeconomics, both in theory and in applied work.

In this paper we build on a growing literature providing evidence for a departure from the full information rational expectation (FIRE) assumption towards a theory of information rigidities (Coibion and Gorodnichenko (2012), Dovern et al. (2015), Coibion and Gorodnichenko (2015a), Armantier et al. (2016)), and investigate the potential role played by the media for households’ inflation expectations in this setting.”

From a new post by Timothy Taylor:

“Each year the Environmental Protection Agency produces an Inventory of U.S. Greenhouse Gas Emissions and Sinks. The draft version of the report for 1990-2017 was published in February 2019.

Here’s a figure showing gross emissions of greenhouse gases in the US. Emissions that are not carbon dioxide have been converted to its “equivalent.”

Several themes jump out from the figure. One is that the overwhelming share of emissions are plain old carbon dioxide, rather than methane or other gases. Another is that the total emissions have been dropping in the last few years, and are more-or-less back to 1990 levels, which one can interpret either through the lens of “could be worse” or “should be better,” as you are so inclined.

Given the predominance of carbon dioxide emissions, let’s dig into those a little deeper. Most of the carbon dioxide emissions come from burning fossil fuels. This table shows the breakdown into a few main sectors.

Total US emissions of greenhouse gases in 2017 were 6472 million metric tons of carbon dioxide-equivalent.  Thus, transportation and the electric power sector combined account for more than half of all emissions. It seems to me both appropriate to focus on reducing emissions in those sectors, but also to remember that, combined, they are only about half of the problem. Emissions from industrial, residential, and commercial activities are also pretty significant.

Moreover, methane emissions landfill, leakages in natural gas systems, and the digestive tracts of livestock make up the equivalent of 449 million metric tons of carbon dioxide emissions in 2017. Agricultural soil management released nitrogen oxides that are the equivalent of 266 million metric tons of carbon dioxide in 2017, roughly equivalent to fossil fuel-related carbon emissions from the residential or the commercial sector. Hydrofluorocarbons that are being used to to replace ozone-depleting substances account for another 152 million metric tons of CO2-equivalent emissions.