Sunday, April 24, 2022
From Mark Perry (AEI):
“Tomorrow is Earth Day 2022 and marks the 52nd anniversary of Earth Day, so it’s time for my annual CD post on the spectacularly wrong predictions that were made around the time of the first Earth Day in 1970…..
In the May 2000 issue of Reason Magazine, award-winning science correspondent Ronald Bailey wrote an excellent article titled “Earth Day, Then and Now: The planet’s future has never looked better. Here’s why” to provide some historical perspective on the 30th anniversary of Earth Day. In that article, Bailey noted that around the time of the first Earth Day in 1970, and in the years following, there was a “torrent of apocalyptic predictions” and many of those predictions were featured in his Reason article. Well, it’s now the 51st anniversary of Earth Day, and a good time to ask the question again that Bailey asked 21 years ago: How accurate were the predictions made around the time of the first Earth Day in 1970? The answer: “The prophets of doom were not simply wrong, but spectacularly wrong,” according to Bailey. 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 [by 1985 or 2000] unless immediate action is taken against problems facing mankind.”
2. “We are in an environmental crisis that 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 [by 1980].”
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.”
Continue reading here.
From Mark Perry (AEI):
“Tomorrow is Earth Day 2022 and marks the 52nd anniversary of Earth Day, so it’s time for my annual CD post on the spectacularly wrong predictions that were made around the time of the first Earth Day in 1970…..
In the May 2000 issue of Reason Magazine, award-winning science correspondent Ronald Bailey wrote an excellent article titled “Earth Day,
Posted by at 7:56 AM
Labels: Energy & Climate Change, Forecasting Forum
Friday, April 22, 2022
On cross-country:
On the US:
On other countries:
On cross-country:
On the US:
Posted by at 5:00 AM
Labels: Global Housing Watch
Wednesday, April 20, 2022
From a VoxEU post by Pascal Michaillat and Emmanuel Saez:
“Empirically, the unemployment rate is inversely related to the vacancy rate. Furthermore, servicing a job opening costs about as much as one job in terms of resources. This column shows that the labour market minimises waste when the unemployment rate equals the vacancy rate. It is too slack when the unemployment rate is higher and too tight when it is lower. Consequently, the efficient unemployment rate is simply given by the geometric average of the current unemployment and vacancy rates. At the beginning of 2022, the US labour market is excessively tight, and tighter than at any point since 1951.
Knowing whether an economy is too slack or at risk of overheating is crucial for macroeconomic policy. Economists generally look at price inflation, GDP level relative to potential, and the unemployment rate to assess, this but each measure has issues as can be seen when looking at the current US economy coming out of the Covid-19 crisis.1 An increase in inflation, as experienced in 2021, can be a marker of an overheating economy, but inflation can also increase due to temporary disruptions such as supply chain issues. Assessing whether GDP is below or above potential is challenging as a crisis like Covid-19 also affects the productive potential of the economy. The unemployment rate is 3.6% as of March 2022, not yet lower than just before Covid-19 when the economy did not show signs of overheating.
In this column, we propose a very simple rule to assess whether the economy, or more precisely the labour market, is too tight or too slack: are there more job openings than there are unemployed workers? This simple rule has intuitive appeal. If somehow job seekers were to be matched to job openings, would there be excess job openings, suggesting an economy with a shortage of willing workers (i.e. an overly tight labour market), or would there be excess job seekers left, suggesting an economy with too few jobs (i.e. an overly slack labour market)? It turns out that this simple intuitive rule can also be justified using the modern matching model that economists use.2 This reconciles economic theory with the widely scrutinised job-seeker-per-job-opening statistic.3
William Beveridge first noted in 1944 that the number of job openings and the number of job seekers in the UK move in opposite directions: When the economy is depressed, there are lots of job seekers and few job openings. Conversely, when the economy is booming, there are few job seekers and many job openings. This relationship has therefore been dubbed the ‘Beveridge curve’ and holds remarkably well in the US as well.4 Figure 1 depicts the time series of the unemployment rate u (all job seekers divided by the labour force which includes all workers and job seekers) and the vacancy rate v (all job openings divided by the same labour force) since 1951. The figure shows clearly that u and v move in opposite directions.”
Figure 1 The US unemployment and vacancy rates since 1951

Continue reading here.
From a VoxEU post by Pascal Michaillat and Emmanuel Saez:
“Empirically, the unemployment rate is inversely related to the vacancy rate. Furthermore, servicing a job opening costs about as much as one job in terms of resources. This column shows that the labour market minimises waste when the unemployment rate equals the vacancy rate. It is too slack when the unemployment rate is higher and too tight when it is lower.
Posted by at 11:28 AM
Labels: Macro Demystified
Friday, April 15, 2022
On the US:
On China
On other countries:
On the US:
Posted by at 5:00 AM
Labels: Global Housing Watch
Thursday, April 14, 2022
From the Conversable Economist:
“The wealth of a society is so much more than the value of houses, or the stock market, or retirement accounts. Wealth broadly understood should also include endowments of nature, ranging from wilderness to oil wells, as well as the human capital embodied in the education and skills of its people. Every few years, the World Bank takes on the task of measuring the world’s wealth in these broader ways. The most recent set of estimates appear in The Changing Wealth of Nations 2021 : Managing Assets for the Future.
Just to be clear, wealth represents an accumulation over time. This is different from GDP, which is the amount produced in a given year. Thus, world GDP in 2018 was about $86 trillion, but world wealth as estimated in this report was 13 times bigger at $1,152 trillion. Here are some estimates from “Chapter 3: Global and Regional Trends in
Wealth, 1995–2018,” by Glenn-Marie Lange, Diego Herrera, and Esther Naikal.
Here is how wealth was distributed around the world between countries of different income levels (I have left out some intermediate years in the table):”

From the Conversable Economist:
“The wealth of a society is so much more than the value of houses, or the stock market, or retirement accounts. Wealth broadly understood should also include endowments of nature, ranging from wilderness to oil wells, as well as the human capital embodied in the education and skills of its people. Every few years, the World Bank takes on the task of measuring the world’s wealth in these broader ways.
Posted by at 1:17 PM
Labels: Macro Demystified
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