Beat the Press

Beat the press por Dean Baker

Beat the Press is Dean Baker's commentary on economic reporting. He is a Senior Economist at the Center for Economic and Policy Research (CEPR). To never miss a post, subscribe to a weekly email roundup of Beat the Press. Please also consider supporting the blog on Patreon.

I have long had fun with the folks who call themselves “free traders.” Essentially, these are people who argue it is a high moral principle to eliminate any barrier to trade that might support the income of working class people, but suddenly get really stupid and defensive when we talk about barriers that support the income of professionals and the wealthy. 

This means that a 10 percent tariff on imported steel is an outrage against all that is good and decent in the world. But when it comes to protectionist restrictions that prevent highly qualified foreign doctors from practicing in the United States and bringing the pay of our doctors more in line with other rich countries, they suddenly have no idea what you’re talking about. (FWIW, we spend far more money on doctors than steel.)

The same story applies to patent and copyright protection. (Yes, that is “protection” as in protectionism.) These government-granted monopolies are treated as part of the world’s natural order. Instead of recognizing them as forms of protectionism, countries that don’t have patent and copyright rules as strong as in the U.S. are treated as being violators of free-trade.

In other words, “free trade” is a make it up as you go along rationale for ways to redistribute income upward. This is why I got a big kick out of seeing Charles Lane’s column today on the Export–Import Bank.

The Export–Import Bank is a mechanism for the United States to subsidize its exports by providing below-market interest rate loans and loan guarantees for exporters. There actually can be some argument for this sort of support in cases where small- and medium-sized firms are just getting into the export market. (It’s still a government subsidy.)

However, that was not the story with the Ex–Im Bank. The overwhelming majority of its loan money (in the neighborhood of 90 percent) went to a tiny number of multi-nationals like Boeing, Caterpillar, and GE. This is not a help-the-upstart story, this was a subsidy-to-politically-connected-corporate-giants story.

Incredibly, the vast majority of the self-proclaimed free traders were big advocates of the Ex–Im Bank. They would go along with the absurd games pushed by the hacks.

For example, they would tell people that some very high percentage of the loans went to small businesses. (Yes, this is in Econ Stupid Tricks 101 — a high percentage of the loans go to small businesses, a tiny percentage of the dollars go to small businesses.) 

And, we got the story that some huge number of US jobs depending on the Ex–Im Bank. In this story, we assume that the US would lose all the exports supported by Ex–Im loans or guarantees, as opposed to some realistic number like 2–3 percent.

Anyhow, with pushing from the free traders, the Export–Import Bank was reauthorized by Congress. I had thought the free traders had won and got their government subsidies.

But as Lane points out, Republicans in Congress refused to approve new members for the bank’s board. This meant that the board lacked a quorum. And, without a quorum, the board could not approve loans of more than $10 million. This meant the bank was actually in the business of making loans to small- and medium-sized businesses, rather than subsidizing Boeing and Caterpillar.

It turns out the big companies were still able to export without the subsidy, although I’m sure they made somewhat less money. Anyhow, it’s a nice story. It shows how free trade can be better than “free trade.”

I have long had fun with the folks who call themselves “free traders.” Essentially, these are people who argue it is a high moral principle to eliminate any barrier to trade that might support the income of working class people, but suddenly get really stupid and defensive when we talk about barriers that support the income of professionals and the wealthy. 

This means that a 10 percent tariff on imported steel is an outrage against all that is good and decent in the world. But when it comes to protectionist restrictions that prevent highly qualified foreign doctors from practicing in the United States and bringing the pay of our doctors more in line with other rich countries, they suddenly have no idea what you’re talking about. (FWIW, we spend far more money on doctors than steel.)

The same story applies to patent and copyright protection. (Yes, that is “protection” as in protectionism.) These government-granted monopolies are treated as part of the world’s natural order. Instead of recognizing them as forms of protectionism, countries that don’t have patent and copyright rules as strong as in the U.S. are treated as being violators of free-trade.

In other words, “free trade” is a make it up as you go along rationale for ways to redistribute income upward. This is why I got a big kick out of seeing Charles Lane’s column today on the Export–Import Bank.

The Export–Import Bank is a mechanism for the United States to subsidize its exports by providing below-market interest rate loans and loan guarantees for exporters. There actually can be some argument for this sort of support in cases where small- and medium-sized firms are just getting into the export market. (It’s still a government subsidy.)

However, that was not the story with the Ex–Im Bank. The overwhelming majority of its loan money (in the neighborhood of 90 percent) went to a tiny number of multi-nationals like Boeing, Caterpillar, and GE. This is not a help-the-upstart story, this was a subsidy-to-politically-connected-corporate-giants story.

Incredibly, the vast majority of the self-proclaimed free traders were big advocates of the Ex–Im Bank. They would go along with the absurd games pushed by the hacks.

For example, they would tell people that some very high percentage of the loans went to small businesses. (Yes, this is in Econ Stupid Tricks 101 — a high percentage of the loans go to small businesses, a tiny percentage of the dollars go to small businesses.) 

And, we got the story that some huge number of US jobs depending on the Ex–Im Bank. In this story, we assume that the US would lose all the exports supported by Ex–Im loans or guarantees, as opposed to some realistic number like 2–3 percent.

Anyhow, with pushing from the free traders, the Export–Import Bank was reauthorized by Congress. I had thought the free traders had won and got their government subsidies.

But as Lane points out, Republicans in Congress refused to approve new members for the bank’s board. This meant that the board lacked a quorum. And, without a quorum, the board could not approve loans of more than $10 million. This meant the bank was actually in the business of making loans to small- and medium-sized businesses, rather than subsidizing Boeing and Caterpillar.

It turns out the big companies were still able to export without the subsidy, although I’m sure they made somewhat less money. Anyhow, it’s a nice story. It shows how free trade can be better than “free trade.”

Low Unemployment: The Recipe for Higher Wages

(This post originally appeared on my Patreon page.) Back in 2013, Jared Bernstein and I wrote a book called Getting Back to Full Employment: A Better Bargain for Working People (free download). The main point of the book was that low unemployment rates disproportionately benefited those who are most disadvantaged in the labor market. For this reason, we argued for using macroeconomic policy to get the unemployment rate as low as possible, until inflation became a clear problem. At that time the unemployment rate was still close to 7.0 percent. It was still coming down from its Great Recession peak of 10.0 percent, but there were many economists, including many at the Federal Reserve Board, who argued that it should not be allowed to fall below a range between of 5.0–5.5 percent, because lower rates of unemployment could trigger spiraling inflation. In fact, this was pretty much the consensus view in the economics profession. At the time, the Congressional Budget Office (CBO) put the non-accelerating inflation rate (NAIRU) of unemployment at 5.5 percent. The NAIRU is essentially the target rate of unemployment for policymakers since they want to prevent the accelerating inflation that would result if the unemployment went much lower. CBO’s numbers are also important in this respect, not only because it is seen as an authoritative source, but also by design it tries to produce estimates that are well within the consensus in the economics profession. Our argument was directed at these people. We felt the evidence that unemployment rates this high should pose any sort of floor for macroeconomic policy were weak. We also pointed out that economists had been badly mistaken two decades earlier, in the 1990s, when they argued that the unemployment rate could not get below 6.0 percent without triggering spiraling inflation. Fortunately, the Greenspan Fed ignored that view and allowed the unemployment to fall to 4.0 percent as a year-round average in 2000. This gave us the late 1990s boom, the only period of sustained real wage growth for those at the middle and bottom of the wage ladder since the early 1970s. Given the enormous gains from allowing the unemployment rate to fall further, we felt the Fed should take the small risk of accelerating inflation, and allow the unemployment to continue to decline below the conventional estimates of the NAIRU. Thankfully, Janet Yellen, who was then Fed chair, agreed with this position. (It helped that our friends with the Fed Up Coalition were also pushing hard in this direction.) She held the Fed’s key federal funds rate at zero until December of 2015, at which point the unemployment rate had fallen to 5.0 percent. Since then, the Fed has had a path of moderate rate hikes (faster than I would have liked), that have not prevented the unemployment rate from falling further.
(This post originally appeared on my Patreon page.) Back in 2013, Jared Bernstein and I wrote a book called Getting Back to Full Employment: A Better Bargain for Working People (free download). The main point of the book was that low unemployment rates disproportionately benefited those who are most disadvantaged in the labor market. For this reason, we argued for using macroeconomic policy to get the unemployment rate as low as possible, until inflation became a clear problem. At that time the unemployment rate was still close to 7.0 percent. It was still coming down from its Great Recession peak of 10.0 percent, but there were many economists, including many at the Federal Reserve Board, who argued that it should not be allowed to fall below a range between of 5.0–5.5 percent, because lower rates of unemployment could trigger spiraling inflation. In fact, this was pretty much the consensus view in the economics profession. At the time, the Congressional Budget Office (CBO) put the non-accelerating inflation rate (NAIRU) of unemployment at 5.5 percent. The NAIRU is essentially the target rate of unemployment for policymakers since they want to prevent the accelerating inflation that would result if the unemployment went much lower. CBO’s numbers are also important in this respect, not only because it is seen as an authoritative source, but also by design it tries to produce estimates that are well within the consensus in the economics profession. Our argument was directed at these people. We felt the evidence that unemployment rates this high should pose any sort of floor for macroeconomic policy were weak. We also pointed out that economists had been badly mistaken two decades earlier, in the 1990s, when they argued that the unemployment rate could not get below 6.0 percent without triggering spiraling inflation. Fortunately, the Greenspan Fed ignored that view and allowed the unemployment to fall to 4.0 percent as a year-round average in 2000. This gave us the late 1990s boom, the only period of sustained real wage growth for those at the middle and bottom of the wage ladder since the early 1970s. Given the enormous gains from allowing the unemployment rate to fall further, we felt the Fed should take the small risk of accelerating inflation, and allow the unemployment to continue to decline below the conventional estimates of the NAIRU. Thankfully, Janet Yellen, who was then Fed chair, agreed with this position. (It helped that our friends with the Fed Up Coalition were also pushing hard in this direction.) She held the Fed’s key federal funds rate at zero until December of 2015, at which point the unemployment rate had fallen to 5.0 percent. Since then, the Fed has had a path of moderate rate hikes (faster than I would have liked), that have not prevented the unemployment rate from falling further.

No, Medicare for All Is Not "Expensive"

I was going to really tee off on this NYT article, calling Medicare for All an “ambitious and expensive left-wing” policy, but I think Paul Waldman did a nice job making the point in his Washington Post column.The basic point is that reporters should leave these sorts of adjectives out of their coverage of the debate over reforming the health care system.

Every other wealthy country has some sort of universal health care system, many with government-run insurance that look a lot like Medicare for All. This has not bankrupted any of them. So the idea that we should move to something like this sort of system in the United States should not be treated as an extreme left far out position.

On the other hand, there is an accurate adjective that could be applied to the assertion by billionaire Michael Bloomberg that a universal Medicare system “would bankrupt us for a very long time.” That adjective is “wrong.”

If the NYT is trying to better inform its readers about health care policy for the 2020 election, rather than telling them Medicare for All is an extreme position, it would point out when its critics make untrue assertions about the policy.

I was going to really tee off on this NYT article, calling Medicare for All an “ambitious and expensive left-wing” policy, but I think Paul Waldman did a nice job making the point in his Washington Post column.The basic point is that reporters should leave these sorts of adjectives out of their coverage of the debate over reforming the health care system.

Every other wealthy country has some sort of universal health care system, many with government-run insurance that look a lot like Medicare for All. This has not bankrupted any of them. So the idea that we should move to something like this sort of system in the United States should not be treated as an extreme left far out position.

On the other hand, there is an accurate adjective that could be applied to the assertion by billionaire Michael Bloomberg that a universal Medicare system “would bankrupt us for a very long time.” That adjective is “wrong.”

If the NYT is trying to better inform its readers about health care policy for the 2020 election, rather than telling them Medicare for All is an extreme position, it would point out when its critics make untrue assertions about the policy.

The New York Times had an article on the status of Trump’s trade war with China. While the piece pointed out Trump’s claim that his trade war is responsible for China’s economic problems, it didn’t point out that this is almost certainly not true.

In spite of Trump’s tariffs, China’s exports to the United States were up by more than $30 billion in the first ten months of 2018 compared to 2017. While their exports may have grown even faster without the tariffs, it doesn’t make sense that slower than expected growth in exports to the United States could be too big a hit to the Chinese economy.

It is also worth noting that China’s exports to the United States are actually not that large a share of its economy. If we just take the reported value of China’s exports to the United States, it comes to less than 3.9 percent of its GDP.

This overstates the actual share of Chinese value-added in these exports, since we record the full price of a product as an export, even though much of the value-added comes from other countries. For example, we would record the full value-added of an iPhone assembled in China as an export from China, even though the vast majority of the value added in the product comes from the United States and other countries.

This is offset in part by Chinese value-added in items from third countries. For example, cars we import from Germany and electronic items we buy from Japan or Korea are likely to include a substantial amount of parts produced in China. But these items will not be affected by Trump’s tariffs on China.

If we conservatively reduce the value-added of the items we import from China by 25 percent to account for foreign inputs, this means the value-added in Chinese exports to the United States accounts for less than 3.0 percent of its GDP. This means that even if Trump’s tariffs reduced its exports by one third (a huge reduction), it would only imply a loss of less than 1.0 percentage point of GDP. By contrast, following the collapse of the housing bubble, residential construction in the United States dropped by almost four percentage points of GDP.

In short, the idea that Trump’s tariffs are a major factor in China’s economic problems is absurd on its face, just like his claim that he had the largest inaugural crowd in history or that millions of illegal votes were cast in California. Just as the NYT would not report these claims without pointing out they are not true, it should not report Trump’s claim that his tariffs are doing great harm to China’s economy without noting that it is false.

The New York Times had an article on the status of Trump’s trade war with China. While the piece pointed out Trump’s claim that his trade war is responsible for China’s economic problems, it didn’t point out that this is almost certainly not true.

In spite of Trump’s tariffs, China’s exports to the United States were up by more than $30 billion in the first ten months of 2018 compared to 2017. While their exports may have grown even faster without the tariffs, it doesn’t make sense that slower than expected growth in exports to the United States could be too big a hit to the Chinese economy.

It is also worth noting that China’s exports to the United States are actually not that large a share of its economy. If we just take the reported value of China’s exports to the United States, it comes to less than 3.9 percent of its GDP.

This overstates the actual share of Chinese value-added in these exports, since we record the full price of a product as an export, even though much of the value-added comes from other countries. For example, we would record the full value-added of an iPhone assembled in China as an export from China, even though the vast majority of the value added in the product comes from the United States and other countries.

This is offset in part by Chinese value-added in items from third countries. For example, cars we import from Germany and electronic items we buy from Japan or Korea are likely to include a substantial amount of parts produced in China. But these items will not be affected by Trump’s tariffs on China.

If we conservatively reduce the value-added of the items we import from China by 25 percent to account for foreign inputs, this means the value-added in Chinese exports to the United States accounts for less than 3.0 percent of its GDP. This means that even if Trump’s tariffs reduced its exports by one third (a huge reduction), it would only imply a loss of less than 1.0 percentage point of GDP. By contrast, following the collapse of the housing bubble, residential construction in the United States dropped by almost four percentage points of GDP.

In short, the idea that Trump’s tariffs are a major factor in China’s economic problems is absurd on its face, just like his claim that he had the largest inaugural crowd in history or that millions of illegal votes were cast in California. Just as the NYT would not report these claims without pointing out they are not true, it should not report Trump’s claim that his tariffs are doing great harm to China’s economy without noting that it is false.

David Leonhardt on the Fleecing of Millennials

David Leonhardt used his column to give us a story about how the millennials are the big losers and the oldsters are the big winners in today's economy. The piece shows trends in the growth of income and wealth which show the over 65 group doing very well and everyone else not. This is not a quite a simple granny-basher column, Leonhardt does come around at the end and tells readers: "But the country’s biggest economic problems aren’t about hordes of greedy old people profiting off the young. They’re about an economy that showers much of its bounty on the already affluent, at the expense of most Americans — and of our future. The young pay the biggest price for these inequities." Nonetheless, there are a couple of points that are misleading and need some qualification. First, when it comes to the median income of people over age 65, it is important to note that this is much more likely to reflect the income of a household with at least one worker than would have been the case a quarter century earlier. The percentage of people between the ages of 65 to 69 who are working rose from 21.0 percent in 1994 to 31.9 percent in 2018. For people between the ages of 70 to 74 it rose from 11.3 percent to 18.9 percent.  Employment to Population Ratio 70–74 Years Source: Bureau of Labor Statistics. This increase in employment among older workers is not all negative. In many cases, it is due to the fact that older people are more likely to be in good health and to be working at jobs they enjoy. But in many cases, these are people who are working because they have no other way to make ends meet. In these cases, it is not an apples-to-apples comparison to say that the income of an older worker in 2018 is higher than a non-working retiree 25 years earlier.
David Leonhardt used his column to give us a story about how the millennials are the big losers and the oldsters are the big winners in today's economy. The piece shows trends in the growth of income and wealth which show the over 65 group doing very well and everyone else not. This is not a quite a simple granny-basher column, Leonhardt does come around at the end and tells readers: "But the country’s biggest economic problems aren’t about hordes of greedy old people profiting off the young. They’re about an economy that showers much of its bounty on the already affluent, at the expense of most Americans — and of our future. The young pay the biggest price for these inequities." Nonetheless, there are a couple of points that are misleading and need some qualification. First, when it comes to the median income of people over age 65, it is important to note that this is much more likely to reflect the income of a household with at least one worker than would have been the case a quarter century earlier. The percentage of people between the ages of 65 to 69 who are working rose from 21.0 percent in 1994 to 31.9 percent in 2018. For people between the ages of 70 to 74 it rose from 11.3 percent to 18.9 percent.  Employment to Population Ratio 70–74 Years Source: Bureau of Labor Statistics. This increase in employment among older workers is not all negative. In many cases, it is due to the fact that older people are more likely to be in good health and to be working at jobs they enjoy. But in many cases, these are people who are working because they have no other way to make ends meet. In these cases, it is not an apples-to-apples comparison to say that the income of an older worker in 2018 is higher than a non-working retiree 25 years earlier.

The NYT did a very simple step today and performed a great public service. In an article on allegations by Texas Secretary of State that 95,000 non-citizens in Texas might be registered, it put the numbers in the context of the total number of registered voters in Texas. 

The piece reported on the conclusions from an investigation which found that 58,000 of these people voted since 1996. The NYT article points out that even if all 58,000 of these votes were cast in 2018, it would amount to 0.69 percent of the votes in the state. It notes that no one claims that all 58,000 votes from these people were cast in 2018.

The article also points out that the secretary of state’s office did not determine that the 95,000 registered voters it identified were in fact not US citizens. It just could not be certain that these people were US citizens. This could be due to name changes or simply inaccurate record keeping. The actual number of non-citizens in this group is certainly less than this figure and possibly much less.

 

The NYT did a very simple step today and performed a great public service. In an article on allegations by Texas Secretary of State that 95,000 non-citizens in Texas might be registered, it put the numbers in the context of the total number of registered voters in Texas. 

The piece reported on the conclusions from an investigation which found that 58,000 of these people voted since 1996. The NYT article points out that even if all 58,000 of these votes were cast in 2018, it would amount to 0.69 percent of the votes in the state. It notes that no one claims that all 58,000 votes from these people were cast in 2018.

The article also points out that the secretary of state’s office did not determine that the 95,000 registered voters it identified were in fact not US citizens. It just could not be certain that these people were US citizens. This could be due to name changes or simply inaccurate record keeping. The actual number of non-citizens in this group is certainly less than this figure and possibly much less.

 

Economists have been concerned about the sharp slowdown in productivity growth since 2005 and wondering whether it will persist indefinitely. Productivity (a.k.a. “automation”) grew at an annual rate of almost 3.0 percent from 1995 to 2005, roughly the same pace as during the long Golden Age from 1947 to 1973. For reasons that are not clear, growth then slowed sharply to a 1.3 percent annual rate in the years since 2005.

 

Productivity: Non-farm Business Sector

prod

Source: Bureau of Labor Statistics.

Projections from the Congressional Budget Office, Social Security Administration, and elsewhere assume that the rate of productivity growth will remain slow for the indefinite future.

But there is good news. In a New York Times column, Kevin Roose tells us about the secret he learned from talking to rich people at Davos. They apparently all have great plans for increasing productivity at their businesses but are keeping them a secret.

If the word from Roose’s rich friends turns out to be accurate, then we can expect to see more rapid wage growth. We also don’t have to worry at all about budget deficits. The more rapid productivity growth will mean more rapid economic growth and higher tax revenues. Also, with more rapid productivity growth, there will be less reason to fear that large budget deficits will push the economy too far and lead to inflation.

Economists have been concerned about the sharp slowdown in productivity growth since 2005 and wondering whether it will persist indefinitely. Productivity (a.k.a. “automation”) grew at an annual rate of almost 3.0 percent from 1995 to 2005, roughly the same pace as during the long Golden Age from 1947 to 1973. For reasons that are not clear, growth then slowed sharply to a 1.3 percent annual rate in the years since 2005.

 

Productivity: Non-farm Business Sector

prod

Source: Bureau of Labor Statistics.

Projections from the Congressional Budget Office, Social Security Administration, and elsewhere assume that the rate of productivity growth will remain slow for the indefinite future.

But there is good news. In a New York Times column, Kevin Roose tells us about the secret he learned from talking to rich people at Davos. They apparently all have great plans for increasing productivity at their businesses but are keeping them a secret.

If the word from Roose’s rich friends turns out to be accurate, then we can expect to see more rapid wage growth. We also don’t have to worry at all about budget deficits. The more rapid productivity growth will mean more rapid economic growth and higher tax revenues. Also, with more rapid productivity growth, there will be less reason to fear that large budget deficits will push the economy too far and lead to inflation.

(This post originally appeared on my Patreon page.) Last week, Jack Bogle, who founded Vanguard Funds, died at the age of 89. Bogle was widely praised in his obituaries (including by me) for starting Vanguard, which now has over $5 trillion in assets. Bogle’s innovation was the recognition that most people lose money by trading. This is regardless of whether it is their own trading or they have an actively managed mutual fund. The fact is that the vast majority of people do not beat the market. This means that the money people spend in trading is essentially money thrown in the garbage. The main asset offered by Vanguard is low-cost index funds. The idea is that investors buy an index fund that will closely track major market indexes like the S&P 500. By minimizing trading and other administrative expenses, people investing in Vanguard funds will maximize the returns on their investment. The annual fees on many of Vanguard’s fund are in the neighborhood of 0.1 percent. By contrast, people often pay 1–2 percentage points of their assets, each year, in trading costs and fees for ordinary mutual funds. Simple arithmetic shows the enormous amount that Vanguard investors save. If we assume that alternative funds would charge 1.0 percentage point more than Vanguard, then Vanguard’s investors are saving over $50 billion a year compared to alternative funds. The total savings would be considerably higher when we include the fact that other companies now also offer low-cost index funds in order to compete with Vanguard. It’s fair to say that Bogle has had a big impact on the ability of middle class people to save for their retirement.
(This post originally appeared on my Patreon page.) Last week, Jack Bogle, who founded Vanguard Funds, died at the age of 89. Bogle was widely praised in his obituaries (including by me) for starting Vanguard, which now has over $5 trillion in assets. Bogle’s innovation was the recognition that most people lose money by trading. This is regardless of whether it is their own trading or they have an actively managed mutual fund. The fact is that the vast majority of people do not beat the market. This means that the money people spend in trading is essentially money thrown in the garbage. The main asset offered by Vanguard is low-cost index funds. The idea is that investors buy an index fund that will closely track major market indexes like the S&P 500. By minimizing trading and other administrative expenses, people investing in Vanguard funds will maximize the returns on their investment. The annual fees on many of Vanguard’s fund are in the neighborhood of 0.1 percent. By contrast, people often pay 1–2 percentage points of their assets, each year, in trading costs and fees for ordinary mutual funds. Simple arithmetic shows the enormous amount that Vanguard investors save. If we assume that alternative funds would charge 1.0 percentage point more than Vanguard, then Vanguard’s investors are saving over $50 billion a year compared to alternative funds. The total savings would be considerably higher when we include the fact that other companies now also offer low-cost index funds in order to compete with Vanguard. It’s fair to say that Bogle has had a big impact on the ability of middle class people to save for their retirement.
That is the gist of a piece telling us that automation (a.k.a. productivity growth) will surge in the next recession. Since the Congressional Budget Office (CBO) and most other forecasters project continued slow productivity growth, the prediction of an imminent surge in automation goes against standard views in the economics profession. I have to say, the basic story here is hard to follow. Here are the first two paragraphs: "Robots’ infiltration of the workforce doesn’t happen gradually, at the pace of technology. It happens in surges, when companies are given strong incentives to tackle the difficult task of automation. "Typically, those incentives occur during recessions. Employers slash payrolls going into a downturn and, out of necessity, turn to software or machinery to take over the tasks once performed by their laid-off workers as business begins to recover." This one has to draw a really big "huh?' Employers need to turn to automation out of necessity because they are laying off workers? How about if they didn't lay off workers, then they wouldn't need to replace them with automation. In the old days, we used to think that the incentive to automate was greatest in the upturn when labor is tight and wages are high. In the downturn, workers are willing to work for lower pay because they have few other options. Why would companies see this as the time to automate?
That is the gist of a piece telling us that automation (a.k.a. productivity growth) will surge in the next recession. Since the Congressional Budget Office (CBO) and most other forecasters project continued slow productivity growth, the prediction of an imminent surge in automation goes against standard views in the economics profession. I have to say, the basic story here is hard to follow. Here are the first two paragraphs: "Robots’ infiltration of the workforce doesn’t happen gradually, at the pace of technology. It happens in surges, when companies are given strong incentives to tackle the difficult task of automation. "Typically, those incentives occur during recessions. Employers slash payrolls going into a downturn and, out of necessity, turn to software or machinery to take over the tasks once performed by their laid-off workers as business begins to recover." This one has to draw a really big "huh?' Employers need to turn to automation out of necessity because they are laying off workers? How about if they didn't lay off workers, then they wouldn't need to replace them with automation. In the old days, we used to think that the incentive to automate was greatest in the upturn when labor is tight and wages are high. In the downturn, workers are willing to work for lower pay because they have few other options. Why would companies see this as the time to automate?

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