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Opinion

Census data paints an inaccurate picture of inequality in America

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Robert Doar President, American Enterprise Institute
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The U.S. Census Bureau is a nonpartisan government agency, responsible for not only determining how many representatives each state will have in Congress for the next 10 years, but also for collecting income data. By asking about income, the Bureau’s intent is to “help communities enroll eligible families in programs designed to assist them.”

But what if the data that the Bureau gathers isn’t telling the whole story or, even worse, inaccurate? That’s what a new book by former U.S. Senator Phil Gramm asserts. Straight Arrow News contributor Robert Doar lays out the argument:

I have long thought that government statistics aren’t telling the whole story about poverty and inequality in America.

During 20 years of leading social services programs in New York, I saw a tremendous amount of aid flowing from federal, state, and local treasuries to low-income households. And even as I saw many of our programs reducing poverty in real-time by combining work requirements with work rewards, the official poverty rate has hovered around 13%. And as a result, our anti-poverty programs have not gotten the credit they deserve. And many people still believe that poverty in America is far worse than it really is.

Now government statistics have also fostered the popular portrayal of America as a vastly unequal country. Where, in the words of Senator Bernie Sanders of Vermont: “A handful of billionaires have enormous wealth and power, while working families have been struggling in a way we have not seen since the Great Depression.” Claims like this one rely on the Census Bureau’s official household income measure, which is the standard for federal estimates of Americans’ wealth.

A new book offers compelling evidence that the Census has been measuring income wrong, and misdirecting public policy in the process. In “The Myth of American Inequality: How Government Biases Policy Debate”, Phil Gramm, an economist at AEI, as well as a former United States Senator, and his co-authors, John Early and Robert Ekelund, have analyzed 50 years of federal data to set the record straight on the last 50 years of household income in America.

They first looked at how the Census measures income. When the Census Bureau adopted the current household income measure in 1967, the Census Bureau decided not to subtract taxes, and did not include all transfer payments. Graham and Early found that as a result, the Census measure left out two-thirds of all federal, state and local transfer payments going to households, most of whom were near the bottom of the income scale. And because they ignore all of these payments, the official statistics underestimate the income received by households with lower earnings from work, and overestimate the real income enjoyed by households with higher earnings. And by reviewing 50 years of Census data and adding in transfer and subtracting taxes, Graham and Early revealed a very different picture of income in America.

I have long thought that government statistics aren’t telling the whole story about poverty and inequality in America.

During 20 years of leading social services programs in New York, I saw a tremendous amount of aid flowing from federal, state and local treasuries to low income households.

And even as I saw many of our programs, reducing poverty in real time by combining work requirements, with work rewards, the official poverty rate has hovered around 13%. And as a result, our anti poverty programs have not gotten the credit they deserve. And many people still believe that poverty in America is far worse than it really is.

Now, government statistics have also fostered the popular portrayal of America as a vastly unequal country. Were in the words of Senator Bernie Sanders of Vermont, a quote handful of billionaires have enormous wealth and power, while working families have been struggling in a way we have not seen since the Great Depression.

claims like this one rely on the Census Bureau’s official household income measure, which is the standard for federal estimates of Americans wealth.

A new book offers compelling evidence that the Census has been measuring income wrong, and misdirecting public policy in the process.

In the myth of American inequality, how government biases policy debate, Phil Gramm, an economist at AI, as well as a former United States Senator, and his co authors, John early and Robert Eklund, have analyzed 50 years of federal data to set the record straight on the last 50 years of household income in America.

They first looked at how the census measures income when the Census Bureau adopted the current household income measure. In 1967. The Census Bureau decided not to subtract taxes, and did not include all transfer payments. Graham and early found that as a result, the census measure left out two thirds of all federal state and local transfer payments going to households, most of whom were near the bottom of the income scale. And because they ignore all of these payments, the official statistics underestimate the income received by households with lower earnings from work and overestimate the real income enjoyed by households with higher news.

And by reviewing 50 years of census data and adding and transfer and subtracting taxes, Graham and early revealed a very different picture of income in America. First, as the book’s title suggests, their data contradicted popular claims of income inequality. Instead of a 16 to one ratio between top households income and bottom households, which is reported by the census, the authors found a four to one ratio. Instead of finding a widening gap between the top and the bottom, they discovered the transfer payments have largely equalized the incomes received among the bottom 60% of Americans, regardless of how much they work. From 1967 to 2017. Real government transfers to the bottom quintile of households rose by more than 269%. While the after tax incomes of those in the middle only rose by 154%.

According to the authors, only 36% of those in the bottom quintile worked on the books at all in 2017, and on average their households earned more than $6,900 a paltry amount, but they received more than $48,000 in after tax and transfer income. Those who earn at the second lowest quintile brought home $31,000 in earnings from work but wound up with $50,000 in after tax and transfer income, leaving them just 3.5%. above those at the bottom.

The amount of government transfers which are available without work requirements, has made not working a viable alternative for Americans. That is likely driven the decline in labor force participation rates, which AI economist Michael strain is called a slow burning catastrophe as more and more Americans disconnect from work and the dignity and satisfaction that comes from earning your own success.

In a recent Wall Street Journal op ed Graham an early report what they say

is their blockbuster finding on a per capita basis, the average bottom quintile household receive 14% more income than the average second quintile household, and 3.3% more than the average middle income household.

Now many middle class Americans feel like they’ve been left behind in these findings, which suggests that they have been, many of them work far more and end up bringing home the same income as those who work very little or not at all. But their struggles have been left out of the policy debate, in large part because they are not evident in the official government statistics. And this may be a primary cause of much of the middle and working class discontentment that has fueled so much of the anger in politics these days.

We can start to address their concerns by collecting and reporting the information about income accurately. In their book, Graham early and Eklund argue that Congress must require the Census Bureau to include taxes and transfers in their income measures. And I think that makes sense. We can also restructure our government aid programs so that they are always promoting work as the essential path out of poverty.

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