Posts Tagged ‘polls’


Economic inequality in the United States and around the world is now so obscene, and has convinced more and more people to do something about it, that the business press has initiated a campaign to deny its very existence.

They and the folks they represent are losing the battle of public opinion. And they’ve decided to do whatever they can to turn things around.

First up was the Economist, the “newspaper” of record for liberal capitalism [ht: sk], claiming that new research undermines the pillars of the seemingly universal belief that “inequality has risen in the rich world.” Yes, as I have documented from the very beginning on this blog (e.g., here, here, and here), there are plenty of mainstream economists who have attempted to prove that inequality isn’t really a problem—either because it doesn’t really exist or, if it does, it’s not something we can or should do much about. And so the Economist managed to find pieces of research that call into question some of the key pillars of the inequality argument—that the gap between the top 1 percent and everyone else is growing, the middle-class is shrinking, capital is gaining at the expense of labor, and wealth inequality is soaring.

I won’t waste readers’ time repeating the arguments I’ve made on all four of those points over the past decade. You can use the search function at the top of the page to see what I and others have written on these issues—or look at the latest report from the Congressional Budget Office, which I discuss below.

What’s more interesting is where the Economist wants to take the discussion—away from wealth taxes (of the sort being proposed by Bernie Sanders and Elizabeth Warren) and toward the sorts of policies that, while they won’t lessen the degree of inequality, conform to the Economist‘s fantasy of liberal capitalism. Thus, they propose more building (so that young workers can afford housing), antitrust regulation (as if capitalism didn’t have an inherent tendency toward monopoly), less regulation of high-income professions (to create more competition for those high-paying jobs), and fewer restrictions on immigration (but only for “high-skilled” workers).

That’s the Economist’s derisory attempt to minimize the existence of inequality (against most of the available evidence and widespread belief) and to devise some tiny tweaks in existing economic arrangements (and avoid more serious efforts to lessen the degree of inequality).

The Wall Street Journal has also decided to confront the growing campaign against economic inequality—by attempting to show that Donald Trump’s administration has done more to decrease inequality than Barack Obama’s, by promoting economic growth through deregulation and increased business investment. Now, it’s true, Obama oversaw a bailout of Wall Street and a return (after a brief hiatus in 2009) to the same unequalizing trends that predated the Second Great Depression. So, that’s a very low bar to surpass.


And even though the wages of low-income workers have been rising at a faster rate in recent quarters (the supposedly “happy wages of a growing economy”), it is still the case that the wage share of national income (as seen in the chart above) is still less than what it was in 2008 (when it was 44.9, compared to 43.2 in 2018) and far below its postwar peak in 1970 (at 51.6).

To rely on continued growth to solve the problem of inequality is simply a pipe dream, which is even less convincing than the castle in the air invented by the business press on the other side of the pond.


The fact is, the Congressional Budget Office [pdf] projects that income in the United States—both before and after transfers and taxes—will be more unevenly distributed in 2021 than it was in 2016. That’s because, even though average incomes for the bottom four quintiles are expected to grow, incomes for the top quintile (and especially for the top 1 percent) are expected to grow even faster.

Thus, for example, since 1979, while the average incomes of the middle three quintiles are expected to grow (after transfers and taxes) by a total of 57 percent, the incomes of those in the top 1 percent are projected to increase by a whopping 281 percent by 2021.

There’s no other way around it: inequality in the United States is obscene, and something—much more than minor regulations and continued growth—needs to be done to overcome it.

As it turns out, Americans are fully aware of the problem. For example, according to Gallup, the overall opinion of capitalism held by young adults (both Millennials and Gen Zers) has deteriorated to the point that capitalism and socialism are tied in popularity.

And a new Reuters/Ipsos poll finds that nearly two-thirds of respondents agree that the very rich should pay more.*

Among the 4,441 respondents to the poll, 64% strongly or somewhat agreed that “the very rich should contribute an extra share of their total wealth each year to support public programs” – the essence of a wealth tax. Results were similar across gender, race and household income. While support among Democrats was stronger, at 77%, a majority of Republicans, 53%, also agreed with the idea.

Moreover, when asked in the poll if “the very rich should be allowed to keep the money they have, even if that means increasing inequality,” 54 percent of respondents disagreed.

That’s the reason the Economist and the Wall Street Journal have decided to launch their campaign about inequality—to attempt to undermine the widespread belief that inequality is growing and, even more, to challenge any and all efforts to actually do something to create a more equal economy and society.

Such a campaign may satisfy their readers, at least in the short run, but the problem itself will remain. This election year, I expect the growing gap between the tiny group at the top and everyone else to overshadow their shabby efforts and culminate in a movement they simply won’t be able to contain.


*Ironically, another recent attempt to undermine the Sanders-Warren proposals of new, higher wealth taxes actually serves to reinforce how extreme wealth inequality is in the United States. While admitting that “only a small segment of the population would be subject to the top rate,” the American Action Forum’s Douglas Holtz-Eakin and Gordon Gray [pdf] can only conclude that the taxes would have “broad impacts” only because the wealth holdings of that group “constitute a significant share of the investable wealth in the economy.”


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Mark Tansey, “Coastline Measure” (1987)

The pollsters got it wrong again, just as they did with the Brexit vote and the Colombia peace vote. In each case, they incorrectly predicted one side would win—Hillary Clinton, Remain, and yes—and many of us were taken in by the apparent certainty of the results.

I certainly was. In each case, I told family members, friends, and acquaintances it was quite possible the polls were wrong. But still, as the day approached, I found myself believing the “experts.”

It still seems, when it comes to polling, we have a great deal of difficulty with uncertainty:

Berwood Yost of Franklin & Marshall College said he wants to see polling get more comfortable with uncertainty. “The incentives now favor offering a single number that looks similar to other polls instead of really trying to report on the many possible campaign elements that could affect the outcome,” Yost said. “Certainty is rewarded, it seems.”

But election results are not the only area where uncertainty remains a problematic issue. Dani Rodrik thinks mainstream economists would do a better job defending the status quo if they acknowledged their uncertainty about the effects of globalization.

This reluctance to be honest about trade has cost economists their credibility with the public. Worse still, it has fed their opponents’ narrative. Economists’ failure to provide the full picture on trade, with all of the necessary distinctions and caveats, has made it easier to tar trade, often wrongly, with all sorts of ill effects. . .

In short, had economists gone public with the caveats, uncertainties, and skepticism of the seminar room, they might have become better defenders of the world economy.

To be fair, both groups—pollsters and mainstream economists—acknowledge the existence of uncertainty. Pollsters (and especially poll-based modelers, like one of the best, Nate Silver, as I’ve discussed here and here) always say they’re recognizing and capturing uncertainty, for example, in the “error term.”


Even Silver, whose model included a much higher probability of a Donald Trump victory than most others, expressed both defensiveness about and confidence in his forecast:

Despite what you might think, we haven’t been trying to scare anyone with these updates. The goal of a probabilistic model is not to provide deterministic predictions (“Clinton will win Wisconsin”) but instead to provide an assessment of probabilities and risks. In 2012, the risks to to Obama were lower than was commonly acknowledged, because of the low number of undecided voters and his unusually robust polling in swing states. In 2016, just the opposite is true: There are lots of undecideds, and Clinton’s polling leads are somewhat thin in swing states. Nonetheless, Clinton is probably going to win, and she could win by a big margin.


As for the mainstream economists, while they may acknowledge exceptions to the rule that “everyone benefits” from free markets and international trade in some of their models and seminar discussions, they acknowledge no uncertainty whatsoever when it comes to celebrating the current economic system in their textbooks and public pronouncements.

So, what’s the alternative? They (and we) need to find better ways of discussing and possibly “modeling” uncertainty. Since the margins of error, different probabilities, and exceptions to the rule are ways of hedging their bets anyway, why not just discuss the range of possible outcomes and all of what is included and excluded, said and unsaid, measurable and unmeasurable, and so forth?

The election pollsters and statisticians may claim the public demands a single projection, prediction, or forecast. By the same token, the mainstream economists are no doubt afraid of letting the barbarian critics through the gates. In both cases, the effect is to narrow the range of relevant factors and the likelihood of outcomes.

One alternative is to open up the models and develop a more robust language to talk about fundamental uncertainty. “We simply don’t know what’s going to happen.” In both cases, that would mean presenting the full range of possible outcomes (including the possibility that there can be still other possibilities, which haven’t been considered) and discussing the biases built into the models themselves (based on the assumptions that have been used to construct them). Instead of the pseudo-rigor associated with deterministic predictions, we’d have a real rigor predicated on uncertainty, including the uncertainty of the modelers themselves.

Admitting that they (and therefore we) simply don’t know would be a start.


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