Lies, Damn Lies, and Data Lies: A Homeless Epidemic Among College Students?

Imagine lying on a friend’s couch in her studio apartment, using the light from your cell phone to study for your midterm exam in small-business entrepreneurship. It’s late but you’re just now getting around to hitting the books because you’ve been out all day preparing for a contest, the winner of which is going to take home a $1,000 scholarship, which you can use to enroll in more community college classes next semester.

You’re hungry because you couldn’t afford to eat today since shampoo, bus fare, and books, were more important purchases. The welfare benefits you receive each month just can’t cover all the costs. You’ve been living on your friend’s couch off and on because you keep fighting with your parents over chores and how late you can stay out now that you’ve turned the legal age at 18. Sometimes you stay at a friend’s, other times you find an abandoned building or a van to crash in.

Now imagine this happens to 46,000 students in one community college school district alone. Imagine nearly 150,000 community college-age kids in one district going hungry on a regular basis because they don’t have enough money for food.

Hard to believe, right? It is hard to believe. But that’s what a new study in the Los Angeles Community College School District found.

The advocacy group Wisconsin HOPE Lab, based in Washington, D.C., does research “aimed at improving equitable outcomes in postsecondary education.” The study it produced — and reported by The Los Angeles Times — was commissioned by the school district’s board of trustees after the county Board of Supervisors decided it would spend a newly approved sales tax on homeless services, and in particular, on homeless college students. The tax is alleged to be worth $3.55 billion over 10 years.

As LaCorte News reports, the sampling of students in the Los Angeles Community College School District wasn’t in fact scientific. The lab emailed thousands of students, asking them to fill out a survey online. Less than 5 percent responded. The authors acknowledged in their report that “the findings in this study are limited by low response rates and potentially non-random sampling. Students experiencing food and housing insecurity may have been more likely to respond to the survey.”

As the email-only news agency notes, “Polls created by organizations with a mission, unsurprisingly, nearly always end up with poll results supporting that mission. This was one.”

You can’t really blame the school district for wanting to get in on the cash windfall, it’s animal instinct for large organizations to do so. But data lies are easy to generate, and have become a major challenge for policymakers trying to figure how much money to raise and where to spend it.

The problem is so large that Congress has created a commission to study it. And Robert Doar, who served as both commissioner of social services for the state of New York and commissioner of the New York City Human Resources Administration, says the issue isn’t so much that the information doesn’t exist, but rather it’s not being shared “in any organized, comprehensive or effective way.”

This failure is especially true between the federal government and state and local agencies. The Feds are relying on Census Bureau data to determine the levels of welfare and food stamps each year, but the Census data are becoming “increasingly inaccurate” and not reflective of “the true condition of America’s low-income populations.”

Throughout my 20 years of working in the social services agencies of New York State and New York City, I was constantly aware that I had a clearer picture of what was going on in low-income households than what was being reported in the Census Bureau’s annual reports on the economic condition of Americans, including those living in my state. Using data systems common in every state, I could see who was receiving food stamps or other welfare benefits, in what neighborhoods, and in what types of families. I knew the education levels of recipients, their family structures, and employment statuses. In short, I knew how much assistance New Yorkers were receiving from various government programs.

Especially troubling was the fact that the Census Bureau was indicating greater economic distress than what my colleagues and I knew was really the case.

Doar says a new report shows why the quality of data is on the decline.

Households have simply become less inclined to respond to surveys; and when they do, they are less likely to answer certain questions and provide accurate information, particularly when they are being asked about receiving various forms of public assistance. …

(The study’s) coauthors revealed significant underreporting of receipt rates and the value of benefit received for most poverty-reducing programs. For example, surveys failed to capture almost half of the dollars given out by the Temporary Aid to Needy Families program.

He notes that underreporting makes the problem look much more severe than it is.

If the closer to the ground you get, the more reliable data become, then it would seem that sharing the data would be a helpful solution, but of course, in a world of regulatory paralysis, there needs to be some kind of “legal authority or established incentives for state agencies to share their datasets with the Census Bureau.”

If agencies did share their data, Doar predicts that “it would dramatically improve the ability of the Census Bureau to describe the real economic condition of Americans.”

Such a measure would allow for a much-needed correction in how we understand poverty and perceive government programs in the country, ultimately contributing to more targeted and more effective policy decisions. …

Such data sharing could have far reaching impact on federal policy by allowing us to know the actual value of the benefits we provide, and how effective these programs are in moving families toward self-sufficiency. There is no more important fact to know in the War on Poverty.

Read the full Doar article in Real Clear Policy.

Data Capture: Why Big Brother Isn’t Always Scary

About 0.20 percent of the federal budget is used collecting statistics by government agencies. We’re not talking about surveillance or data mining, but the actual work of determining numbers on labor participation rates and other information valuable to business, policymakers, and families.

This information, government collected, is extremely valuable to business. Companies like food store Kroger, chain store Target, and investment house like Charles Schwab use information from research by the American Community Survey or the International Energy Agency to determine prices, where to put their stores and what to fill them with, or how much to anticipate oil prices will rise or fall.

Government data are used in a variety of ways — for instance local cost of living determinations or expected future demand, even demographic data on where to put schools or whether distribution centers like Amazon belong in Dallas or Baltimore.

Yet, data, both the government’s collection of it and private industry research, are getting a bad rap. The surveillance culture has made people wary of data collection. People are sick of being followed on every website they turn by digital advertisements. And government data are recently seen as suspect or twisted to serve a particular political leaning.

But data are vital. Even the Founding Fathers thought so, says economist Michael R. Strain.

America’s desire to collect data for the common good dates back to the founding fathers, when James Madison argued that reliable data on agricultural, commercial and manufacturing interests would allow Congress to represent the interests of its citizens more effectively. Hard numbers would be useful to Congressional debaters “in order that they might rest their arguments on facts, instead of assertions and conjectures.” Indeed, collecting data is a specifically enumerated requirement of government in Article 1 of the U.S. Constitution. …

We’ve come a long way since the 19th century. Today, the modern economy is especially reliant on data, and in this era of “big data,” businesses collect and analyze vast quantities of their own internal data to forecast sales, predict staffing and inventory needs, and weigh all sorts of decisions. The big data revolution is rightly celebrated as a great social and economic achievement. But a firm’s own data are not adequate to serve society’s larger purposes. Instead, private-sector data should be thought of as a fantastic complement to official statistics.

So what’s the big deal? Why should government be responsible for collecting data?

One reason: Consistency. It’s the same information being run year after year and decade after decade. Another: It’s free to everyone to access and use. A third reason: Credibility. The statistical methods and practices are designed to return high quality and impartial data — and to be shielded from political influence.

For example, the Bureau of Labor Statistics, which produces statistics on employment and unemployment, has only one political appointee. The rest are dedicated career civil servants. Helping to maintain that credibility is that many data elements are carefully scrutinized by outsiders, whether the market — which reacts to certain regular data releases as important measures of economic health — or researchers.

Still a fourth reason: Confidentiality. Unauthorized use by government workers is punishable with prison terms while at the same time it can’t be used to prosecute providers of the information. Lastly, the ability to get it done. The public is more willing to respond to “direct requests for information from the government, with its strict confidentiality standards for data, than to a private firm.”

Finally, if government policymakers and lawmakers are going to decide on issues like how taxes are to be spent, it’s good to have data that are accurate.

Of course, when it comes to government, it’s not all rosy. Federal data collection is subject to shortcomings and limitations like the failure to capture information on new trends. Another problem is the refusal of people to participate in the data collection.

But failing to collect the data will never get us to learn where there’s room to make improvements, something we should always expect our government.