Posts Tagged ‘United States’

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Like economic inequality, murder inequality in America is stark and obscene.

According to a new study by the Guardian,

In 2015, Chicago had the highest total number of gun homicides of any city in America. . .

Just 13% of census tracts in Chicago saw multiple gun murders in 2015, and these tracts were responsible for 65% of the city’s gun homicides.

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In that same year, there were more than 13,000 gun homicides throughout the United States. But half of those deaths were in just 127 cities, which contain almost a quarter of the population.

And it gets worse:

Even within those cities, violence is further concentrated in the tiny neighborhood areas that saw two or more gun homicide incidents in a single year.

Four and a half million Americans live in areas of these cities with the highest numbers of gun homicide, which are marked by intense poverty, low levels of education, and racial segregation. Geographically, these neighborhood areas are small: a total of about 1,200 neighborhood census tracts, which, laid side by side, would fit into an area just 42 miles wide by 42 miles long.

The problem they face is devastating. Though these neighborhood areas contain just 1.5% of the country’s population, they saw 26% of America’s total gun homicides.

Economic inequality means a small minority at the top captures the lion’s share of income and wealth. Murder inequality is equally grotesque—for a small minority at the bottom.

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Last year, as I reported the other day, I published over 800 new posts.

I’ve never done this before. However, I decided to look back over the year and choose one post for each month of 2016:

January—Liberal ideology

February—Who are the capitalists?

March—Yea, they’re angry!

April—Life among the liberal econ

May—Letting capitalism off the hook

June—Globalization, inequality, and imperialism

July—Trump and the Prosperity Gospel

August—The Mandibles and dystopian finance fiction

September—What about the white working-class?

October—Nobel economics—or why does capital hire labor?

November—Condition of the working-class in the United States

December—China syndrome

Enjoy!

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When it comes to artificial intelligence and automation, the current White House seems to want to have it both ways.

On one hand, it warns about the potentially unequalizing, “winner-take-most” effects of the economic use of artificial intelligence:

Research consistently finds that the jobs that are threatened by automation are highly concentrated among lower-paid, lower-skilled, and less-educated workers. This means that automation will continue to put downward pressure on demand for this group, putting downward pressure on wages and upward pressure on inequality. In the longer-run, there may be different or larger effects. One possibility is superstar-biased technological change, where the benefits of technology accrue to an even smaller portion of society than just highly-skilled workers. The winner-take-most nature of information technology markets means that only a few may come to dominate markets. If labor productivity increases do not translate into wage increases, then the large economic gains brought about by AI could accrue to a select few. Instead of broadly shared prosperity for workers and consumers, this might push towards reduced competition and increased wealth inequality.

But then it invokes, and repeats numerous times across the report, the usual mainstream economists’ nostrums about the “strong relationship between productivity and wages”—such that “with more AI the most plausible outcome will be a combination of higher wages and more opportunities for leisure for a wide range of workers.”

Except, of course, historically that has not been the case—certainly not in the United States.

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For example, from the early 1970s to the present, workers’ wages have not kept pace with increases in productivity. Not by a long shot. As is clear from the chart above, productivity since 1973 has risen much more than workers’ compensation—72.2 percent, compared to a paltry 9.2 percent.

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And while over the same period hours worked have in fact fallen, the decrease in the United States (a minuscule 5.6 percent) has been far less than the increase in productivity—and much less than in other countries, such as France (24 percent) and Germany (27.3 percent).

So, yes, whether the use of artificial intelligence leads to improvements for U.S. workers—in the form of higher wages and fewer hours worked—”depends not only on the technology itself but also on the institutions and policies that are in place.”

But the experience of the past four decades suggests it will not benefit the American working-class.

And there’s nothing to suggest that trend won’t continue—unless, of course, there is a radical change in economic institutions and policies, which allow workers to have much more of a say in the technologies that are adopted and how wages and hours are set.

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We all know that the recovery since the Great Recession has been highly skewed. But has it hurt whites more than blacks and Hispanics, thereby explaining Donald Trump’s victory in the presidential election?

That’s the story being told by Eduardo Porter (here and here), relying on data from the Economic Cycle Research Institute (pdf). Their basic argument is that, of the millions of net new jobs created since the pre-recession highwater mark of November 2007, most of them went to black and Hispanic (and Asian) workers, not to white workers (who make up the majority of the workforce).

The numbers are correct—but their analysis is seriously incomplete.

According to the numbers that serve as the basis of ECRI analysis (and which are represented in the chart above), about 5.5 million more workers are employed now compared to nine years ago (the purple line)—including 4.9 million more Hispanic (green line) and 2.3 million more African American (blue line) workers but 722 thousand fewer white (red line) workers.*

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It comes as no surprise that those different job trajectories are reflected in the different trajectories of the employment-population ratio. Whereas the overall ratio and the ratio for whites have barely changed (at 59 and 60 percent, respectively) since the recession ended, the other ratios have in fact changed—rising for both Hispanics (from 59.3 to 62.2) and blacks (from 52.9 to 56.6).

So, there are differences in job growth, a large part of which can be accounted for by different regional growth patterns (large cities vs. small towns and rural areas), sectoral shifts (services vs. industrial production), and demographic profiles (both the proportion of the working-age population and retirement rates).

However, in every other way, the different groups within the American working-class have moved in tandem.

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For example, the labor-force-participation rate has declined over the past nine years—in general and for each subgroup, white, black, and Hispanic—and remains now just above record lows.

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Unemployment rates have also moved in the same direction—first rising dramatically after the crash and then falling during the recovery (but still remaining above what they were before the crash).

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Meanwhile, workers’ wages have barely budged—overall and for whites, blacks, and Hispanics—between the fourth quarter of 2007 and the third quarter of 2016.

The folks at the Center for Economic and Policy Research get it:

Porter is right in seeing support for Trump as being to a substantial extent a response to bad economic prospects. But the economic prospects of working class whites in the last decade were not notably worse than the prospects of working class blacks.

And, I would add, all the other groups that make up the American working-class.

The fact is, all members of the working-class—white, black, and Hispanic—have been victimized during the Second Great Depression. As I have shown elsewhere (e.g., here and here), as a class, they’ve fallen further and further behind the tiny group of employers and wealthy individuals at the top. That’s the real skewed nature of the economic recovery.

As I see it, the difference in their political allegiances and voting patterns cannot then be explained by white workers losing out to black and Hispanic workers. It’s due, instead, to the fact that one group that has been left behind (working-class whites) threw in their lot with one candidate (right-wing,  white-nationalist Trump)—while other members of the working-class (blacks and Hispanics), who have been equally left behind, simply could not.

And, soon, all of them will discover Trump’s promises were no more than dog-whistle politics and his economic program will leave them even further behind.

 

*The numbers don’t sum correctly (even without including Asian workers) because white Hispanics may be double-counted as both white and Hispanic, and black Hispanics may be double-counted as both black and Hispanic.