The Denver Post

Fewer Americans working, but why?

Research: Trade with China, rise of robots behind missing jobs

- By Andrew Van Dam

Where did all the jobs go? Well, we’re finally starting to find some satisfacto­ry answers to the granddaddy of all economic questions.

The share of Americans with jobs dropped 4.5 percentage points from 1999 to 2016 — amounting to about 6.8 million fewer workers in 2016.

Between 50 and 70 percent of that decline probably was due to an aging population. Explaining the remainder has been the inspiratio­n for much of the economic research published after the Great Recession.

Economists and politician­s have pointed at immigratio­n, China, video games, robots, opioids, universiti­es, working spouses — everything up to and including the academic equivalent of shrugging their shoulders and muttering, “Kids these days.”

Until recently, there was no good system to untangle it all.

University of Maryland economists Katharine Abraham and Melissa Kearney built one. After reviewing the most robust research available and doing some rough-but-rigorous math to estimate how much job loss each phenomenon can explain, the duo discovered something surprising: pretty much all the missing jobs are accounted for.

Just as important, they pinpointed the culprits. In a draft pa-

per released by the National Bureau for Economic Research last month, Abraham and Kearney find that trade with China and the rise of robots are to blame for millions of the missing jobs.

Other scapegoats, such as immigratio­n, food stamps and Obamacare, did not move the needle.

Factors that mattered

• Competitio­n from Chinese imports

The era of vanishing jobs happened alongside one of the most unusual, disruptive eras in modern economic history — China’s accession to the World Trade Organizati­on in 2001 and its subsequent rise to the top of the global export market.

There’s a deep body of research into the manufactur­ing jobs that were lost to competitio­n from cheap Chinese imports, as well as those that vanished from related industries. On the basis of that research, Abraham and Kearney estimate that this competitio­n cost the economy about 2.65 million jobs over the period.

• Robots Automation also seems to have cost more jobs than it created. Guided by research showing that each robot takes the jobs of about 5.6 workers and that 250,475 robots had been added since 1999, the duo estimated that robots cost the economy another 1.4 million workers.

• Minimum wage increases Abraham and Kearney used previous research into how teens and adults respond to rising wages to produce a high-end estimate of the impact of minimum wages over this period. Other recent research has found either a small effect or no effect. In the end, they combined those figures to find that about 0.49 million workers were lost.

• Social Security Disability Insurance

The number of people receiving Social Security Disability Insurance nearly doubled from 1999 to 2016, from 4.9 million to 8.8 million. The population has aged, but that is still 1.64 million more people than there should have been, had rates remained steady for each age group, the researcher­s found.

Abraham and Kearney estimated that the labor force shrank by about 0.36 million as an increasing number of workers drew disability benefits.

• Veterans benefits

The economists estimated that roughly 0.15 million people were not working because of the expansion of a disability insurance program run by the Department of Veterans Affairs. Between 2000 and 2013, the share of veterans receiving such benefits rose from 9 percent to 18 percent.

• Mass incarcerat­ion There were about 6.5 million former prisoners in the United States between the ages of 18 and 64 in 2014, according to the best available data. Assume that 60 percent of them served time as a result of policies implemente­d since the 1990s, account for their ages, time served, and pre-prison earnings, and you get a conservati­ve estimate of 0.32 million lost jobs.

What did not trim jobs

• Immigratio­n

Most research indicates that immigratio­n does not reduce native employment rates. And even if it did, it is unlikely that it would reduce overall (native and foreign-born) employment. Immigrants’ employment rates are higher than those of native-born residents.

• Food stamps (Supplement­al Nutrition Assistance Program)

SNAP benefits average about $4.11 per person per day. Able-bodied adults are generally cut off from benefits unless they are working. Furthermor­e, the program itself did not change enough over the period in question to alter people’s behavior. It grew, but that was because of fallout from the Great Recession, not because of permanent policy changes that made nutrition assistance more accessible.

•The Affordable Care Act Obamacare went into effect in 2014 and has not had a noticeable impact on jobs to date. It is safe to assume it was not a decisive factor in the 1999-2016 period.

• Working spouses who allow men to stay home

While this is a popular theory, the share of men who are not in the labor force but had a working spouse actually fell slightly between 1999 and 2015, according to a 2016 report by the White House Council of Economic Advisers.

The unknowns

Along with an aging population, the first six factors (competitio­n from China and automation in particular) account for the majority of the jobs lost during the recession. But the U.S. labor market is colossal and complicate­d, and other explanatio­ns are out there, pushing and pulling the estimates in either direction.

• It might be harder to change jobs now

Americans are not moving as often as they once did. It seems reasonable to assume, on the basis of recent research, that employment rates would be higher if people were more willing or able to relocate for work. But there is not yet enough evidence to state this conclusive­ly.

• Video games, opioids and changing youth culture

U.S. youth employment rates fell rapidly over the period. Economists have grabbed headlines recently by blaming the precipitou­s drop in young males in the workforce on a variety of factors including video game playing and prescripti­on painkiller abuse.

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