The Drop in the Unemployment Rate Is Not a Sign the Tides are Turning
While job growth was decent in June (though the downward revisions to April and May were disappointing), the news on unemployment was actually less welcome. This might seem odd to say given that the unemployment rate dropped from 5.5 to 5.3 percent. But this drop in unemployment was not primarily driven by a rise in employment; instead it was mostly due to a drop in the labor force.
Here’s a breakdown of the data. In June, the number of unemployed workers fell by 375,000. Good news, right? Not so much. The labor force dropped by more than that amount, a fall of 432,000. The White House suggests the weaker numbers may be driven by the earlier-than-normal reference period, which might not be picking up as much as the usual June increase in summer employment, which is largely driven by youth employment. So, let’s turn to the prime-age workforce to get rid of those trends, which primarily affect younger workers and which also get rid of any declines driven by baby boomer retirement.
The prime-age employment-to-population (EPOP) ratio has been flat for the last four months at 77.2 percent. One would expect an improving economy to drive the prime-age EPOP upwards, and between October 2013 and February 2015 there was steady and decent progress on this front. But the recent stagnation has left prime-age EPOPs still far from fully recovered.
Employment-to-population ratio of workers ages 25-54, 2006-2015
| Month | Employment-to-population ratio |
|---|---|
| 2006-01-01 | 79.6% |
| 2006-02-01 | 79.7% |
| 2006-03-01 | 79.8% |
| 2006-04-01 | 79.6% |
| 2006-05-01 | 79.7% |
| 2006-06-01 | 79.8% |
| 2006-07-01 | 79.8% |
| 2006-08-01 | 79.8% |
| 2006-09-01 | 79.9% |
| 2006-10-01 | 80.1% |
| 2006-11-01 | 80.0% |
| 2006-12-01 | 80.1% |
| 2007-01-01 | 80.3% |
| 2007-02-01 | 80.1% |
| 2007-03-01 | 80.2% |
| 2007-04-01 | 80.0% |
| 2007-05-01 | 80.0% |
| 2007-06-01 | 79.9% |
| 2007-07-01 | 79.8% |
| 2007-08-01 | 79.8% |
| 2007-09-01 | 79.7% |
| 2007-10-01 | 79.6% |
| 2007-11-01 | 79.7% |
| 2007-12-01 | 79.7% |
| 2008-01-01 | 80.0% |
| 2008-02-01 | 79.9% |
| 2008-03-01 | 79.8% |
| 2008-04-01 | 79.6% |
| 2008-05-01 | 79.5% |
| 2008-06-01 | 79.4% |
| 2008-07-01 | 79.2% |
| 2008-08-01 | 78.8% |
| 2008-09-01 | 78.8% |
| 2008-10-01 | 78.4% |
| 2008-11-01 | 78.1% |
| 2008-12-01 | 77.6% |
| 2009-01-01 | 77.0% |
| 2009-02-01 | 76.7% |
| 2009-03-01 | 76.2% |
| 2009-04-01 | 76.2% |
| 2009-05-01 | 75.9% |
| 2009-06-01 | 75.9% |
| 2009-07-01 | 75.8% |
| 2009-08-01 | 75.6% |
| 2009-09-01 | 75.1% |
| 2009-10-01 | 75.0% |
| 2009-11-01 | 75.2% |
| 2009-12-01 | 74.8% |
| 2010-01-01 | 75.1% |
| 2010-02-01 | 75.1% |
| 2010-03-01 | 75.1% |
| 2010-04-01 | 75.4% |
| 2010-05-01 | 75.1% |
| 2010-06-01 | 75.2% |
| 2010-07-01 | 75.1% |
| 2010-08-01 | 75.0% |
| 2010-09-01 | 75.1% |
| 2010-10-01 | 75.0% |
| 2010-11-01 | 74.8% |
| 2010-12-01 | 75.0% |
| 2011-01-01 | 75.2% |
| 2011-02-01 | 75.1% |
| 2011-03-01 | 75.3% |
| 2011-04-01 | 75.1% |
| 2011-05-01 | 75.2% |
| 2011-06-01 | 75.0% |
| 2011-07-01 | 75.0% |
| 2011-08-01 | 75.1% |
| 2011-09-01 | 74.9% |
| 2011-10-01 | 74.9% |
| 2011-11-01 | 75.3% |
| 2011-12-01 | 75.4% |
| 2012-01-01 | 75.6% |
| 2012-02-01 | 75.6% |
| 2012-03-01 | 75.7% |
| 2012-04-01 | 75.7% |
| 2012-05-01 | 75.7% |
| 2012-06-01 | 75.7% |
| 2012-07-01 | 75.6% |
| 2012-08-01 | 75.7% |
| 2012-09-01 | 75.9% |
| 2012-10-01 | 76.0% |
| 2012-11-01 | 75.8% |
| 2012-12-01 | 75.9% |
| 2013-01-01 | 75.7% |
| 2013-02-01 | 75.9% |
| 2013-03-01 | 75.9% |
| 2013-04-01 | 75.9% |
| 2013-05-01 | 76.0% |
| 2013-06-01 | 75.9% |
| 2013-07-01 | 76.0% |
| 2013-08-01 | 75.9% |
| 2013-09-01 | 75.9% |
| 2013-10-01 | 75.5% |
| 2013-11-01 | 76.0% |
| 2013-12-01 | 76.1% |
| 2014-01-01 | 76.5% |
| 2014-02-01 | 76.5% |
| 2014-03-01 | 76.6% |
| 2014-04-01 | 76.5% |
| 2014-05-01 | 76.4% |
| 2014-06-01 | 76.8% |
| 2014-07-01 | 76.6% |
| 2014-08-01 | 76.8% |
| 2014-09-01 | 76.8% |
| 2014-10-01 | 76.9% |
| 2014-11-01 | 76.9% |
| 2014-12-01 | 77.0% |
| 2015-01-01 | 77.2% |
| 2015-02-01 | 77.3% |
| 2015-03-01 | 77.2% |
| 2015-04-01 | 77.2% |
| 2015-05-01 | 77.2% |
| 2015-06-01 | 77.2% |
| 2015-07-01 | 77.1% |

Source: EPI analysis of Bureau of Labor Statistics' Current Population Survey public data
As Summer Jobs Season Begins, Teens Make Headway for the First Time Since 2012
Summer is typically the time of year when we see the highest rates of employment for teens — young people between the ages of 16 and 19. This group includes new high school graduates along with others in search of an opportunity to earn a few extra dollars while out of school for the summer. Based on this month’s jobs report, the 2015 summer job market for teens is off to a better start than last year. According to seasonally unadjusted teen employment-to-population (EPOP) ratios, 32.1 percent of all teens found employment in June 2015, compared to 30.9 percent in June 2014 (Figure A). However, this may actually be an understatement of the June 2015 increase. The White House suggests that an earlier-than-normal reference week for this year’s survey is capturing a smaller share of the usual June gains. June teen employment rates were essentially flat between June 2012 and June 2014.
Unadjusted Employment-Population Ratio, 16-19 years old, (June only) 2000-2015
| Year | All | White | Black | Hispanic |
|---|---|---|---|---|
| 2000 | 51.4 | 56.3 | 31.6 | 40.7 |
| 2001 | 48.1 | 52.9 | 30.0 | 40.1 |
| 2002 | 44.6 | 48.7 | 28.5 | 36.7 |
| 2003 | 40.9 | 45.5 | 21.7 | 31.6 |
| 2004 | 40.2 | 44.5 | 22.5 | 31.4 |
| 2005 | 41.0 | 45.5 | 24.1 | 33.0 |
| 2006 | 42.1 | 46.3 | 27.0 | 33.5 |
| 2007 | 39.6 | 43.9 | 23.4 | 30.9 |
| 2008 | 37.1 | 41.4 | 21.4 | 32.0 |
| 2009 | 32.9 | 36.9 | 18.0 | 27.4 |
| 2010 | 28.6 | 32.1 | 15.2 | 21.0 |
| 2011 | 29.2 | 32.5 | 16.9 | 19.3 |
| 2012 | 30.5 | 34.0 | 19.2 | 25.4 |
| 2013 | 30.6 | 34.3 | 17.8 | 24.9 |
| 2014 | 30.9 | 34.0 | 18.4 | 24.6 |
| 2015 | 32.1 | 35.5 | 20.8 | 26.7 |

Source: EPI analysis of Bureau of Labor Statistics Current Population Survey public data series
Racial differences in teen employment rates mirror those of adults – 35.5 percent of white teens were employed in June, compared to 26.7 percent of Hispanic teens and 20.8 percent of black teens.
The relatively improved June 2015 numbers reflect the fact that this summer teens are entering a stronger job market than the last several years. The average rate of job growth during the 12 months preceding June 2015 (July 2014-June 2015) was 245,000 jobs/month compared to 221,000 jobs/month during the 12 months preceding June 2014 and 175,000 jobs/month during the 12 months leading up to June 2012 (Table 1). Also, the adult unemployment rate (age 20 and older) is lower heading into the summer of 2015 than in previous years – 5.0 percent in May.
Average annual monthly job growth during 12 months preceding June, and adult (age 20 or older) unemployment rate in May, 2010-2015
| Average monthly job growth during 12 months preceding June | Adult (age 20 or older) unemployment rate in May | |
|---|---|---|
| 2010 | -42,000 | 9.0% |
| 2011 | 114,000 | 8.5% |
| 2012 | 175,000 | 7.6% |
| 2013 | 196,000 | 6.9% |
| 2014 | 221,000 | 5.8% |
| 2015 | 245,000 | 5.0% |

Source: EPI analysis of Bureau of Labor Statistics Current Population Survey and Consumer Employment Statistics public data series
Despite the uptick in teen employment this June, employment rates for teens and prime age adults (age 25 to 54) remain well below pre-Great Recession levels. The longer-term pattern in June teen employment rates is consistent with the sharp decline in average annual teen employment rates since 2000. This partly reflects an ongoing increase in college enrollment (except for a post-2012 decline), but is also the result of relatively weaker labor markets that have persisted since 2000. Based on a recent EPI report, the share of young high school graduates, age 17 to 20, who are not working and not enrolled in school is also well above the 2000 rate.
Are Disability Benefits Becoming More Generous?
(This is the second of six blog posts on disability.)
In my previous blog post, I questioned Stanford economist Mark Duggan’s Senate testimony that workers’ financial incentives are driving a growth in Social Security Disability Insurance (SSDI) rolls. I showed that there had been no upward trend in age-adjusted disability incidence over the past 20 years, though there had been a modest increase for women offset by a modest decline for men.
Though age-adjusted incidence isn’t rising, it’s possible that financial incentives have prevented it from falling. This blog post will focus on Duggan and Massachusetts Institute of Technology economist David Autor’s claim that disability benefits are replacing a rising share of low-wage workers’ earnings. Though this is a plausible and widely accepted hypothesis, there is surprisingly little evidence to back it up. In any case, this assumes workers are weighing the costs and benefits of working versus applying for disability benefits–a lengthy and difficult process that results in nearly two out of three applicants being denied–even though it’s doubtful that many applicants could instead choose to work.
Are disability benefits becoming more generous? The average benefit awarded is roughly a third of the average wage, a ratio that has remained essentially unchanged since 1985. And as Harvard economist Jeffrey Liebman points out, rising inequality and other factors have reduced the value of disability benefits relative to productivity per worker. As a result, program costs increased only modestly over the three decades preceding the Great Recession as a share of GDP (from 0.55 to 0.68 percent) despite a much faster growth in enrollment.
Though benefits have just kept pace with wage growth and lagged productivity growth, Duggan and Autor (2006) hypothesize that benefits have risen relative to lower-wage workers’ earnings due to rising inequality and a progressive benefit formula. Lower-wage workers are more likely to apply for disability benefits because they tend to be in worse health, are more likely to be in physically demanding or dangerous occupations, and qualify for fewer jobs that accommodate disabilities.
What to Watch on Jobs Day: The Coast is in Sight, but We’re Still Navigating the High Seas
Are we there? No. Are we moving in the right direction? Yes. How will we know when we get there? See below.
On top of strong job growth, here are my brief thoughts on what we need to continue to look for in the monthly Employment Situation and JOLTS reports in order to be confident that a full recovery and genuine full employment will be attained. My key metrics are bolded.
- The labor force participation rate remains cyclically depressed. Nearly three million potential workers continue to be sidelined by the weak economy. The prime-age employment-to-population ratio (EPOP) remains far below pre-recessionary levels (see below). A stronger labor market would mean that the prime-age EPOP returns to pre-recession levels.
Source: EPI analysis of Bureau of Labor Statistics' Current Population Survey public dataEmployment-to-population ratio of workers ages 25–54, 2006–2015
Month
Employment-to-population ratio
2006-01-01
79.6%
2006-02-01
79.7%
2006-03-01
79.8%
2006-04-01
79.6%
2006-05-01
79.7%
2006-06-01
79.8%
2006-07-01
79.8%
2006-08-01
79.8%
2006-09-01
79.9%
2006-10-01
80.1%
2006-11-01
80.0%
2006-12-01
80.1%
2007-01-01
80.3%
2007-02-01
80.1%
2007-03-01
80.2%
2007-04-01
80.0%
2007-05-01
80.0%
2007-06-01
79.9%
2007-07-01
79.8%
2007-08-01
79.8%
2007-09-01
79.7%
2007-10-01
79.6%
2007-11-01
79.7%
2007-12-01
79.7%
2008-01-01
80.0%
2008-02-01
79.9%
2008-03-01
79.8%
2008-04-01
79.6%
2008-05-01
79.5%
2008-06-01
79.4%
2008-07-01
79.2%
2008-08-01
78.8%
2008-09-01
78.8%
2008-10-01
78.4%
2008-11-01
78.1%
2008-12-01
77.6%
2009-01-01
77.0%
2009-02-01
76.7%
2009-03-01
76.2%
2009-04-01
76.2%
2009-05-01
75.9%
2009-06-01
75.9%
2009-07-01
75.8%
2009-08-01
75.6%
2009-09-01
75.1%
2009-10-01
75.0%
2009-11-01
75.2%
2009-12-01
74.8%
2010-01-01
75.1%
2010-02-01
75.1%
2010-03-01
75.1%
2010-04-01
75.4%
2010-05-01
75.1%
2010-06-01
75.2%
2010-07-01
75.1%
2010-08-01
75.0%
2010-09-01
75.1%
2010-10-01
75.0%
2010-11-01
74.8%
2010-12-01
75.0%
2011-01-01
75.2%
2011-02-01
75.1%
2011-03-01
75.3%
2011-04-01
75.1%
2011-05-01
75.2%
2011-06-01
75.0%
2011-07-01
75.0%
2011-08-01
75.1%
2011-09-01
74.9%
2011-10-01
74.9%
2011-11-01
75.3%
2011-12-01
75.4%
2012-01-01
75.6%
2012-02-01
75.6%
2012-03-01
75.7%
2012-04-01
75.7%
2012-05-01
75.7%
2012-06-01
75.7%
2012-07-01
75.6%
2012-08-01
75.7%
2012-09-01
75.9%
2012-10-01
76.0%
2012-11-01
75.8%
2012-12-01
75.9%
2013-01-01
75.7%
2013-02-01
75.9%
2013-03-01
75.9%
2013-04-01
75.9%
2013-05-01
76.0%
2013-06-01
75.9%
2013-07-01
76.0%
2013-08-01
75.9%
2013-09-01
75.9%
2013-10-01
75.5%
2013-11-01
76.0%
2013-12-01
76.1%
2014-01-01
76.5%
2014-02-01
76.5%
2014-03-01
76.6%
2014-04-01
76.5%
2014-05-01
76.4%
2014-06-01
76.8%
2014-07-01
76.6%
2014-08-01
76.8%
2014-09-01
76.8%
2014-10-01
76.9%
2014-11-01
76.9%
2014-12-01
77.0%
2015-01-01
77.2%
2015-02-01
77.3%
2015-03-01
77.2%
2015-04-01
77.2%
2015-05-01
77.2%

Majority of Workers Who Will Benefit from Updated Overtime Rules are Women
A lot has changed since 1975. The Soviet Union collapsed, we fought (and are fighting still) several wars in the Middle East, same-sex marriage is now legal across the United States, we have our first African-American President, we have the internet. But what has changed only minimally is the salary level for determining which “salaried’ workers are entitled to overtime. Seriously. While the Bush Administration made a minuscule adjustment in 2004, essentially a political smokescreen to avoid a real increase, that number is finally going to increase in a meaningful way – the Economic Policy Institute deserves a lot of credit for pushing for this long-overdue update. The Department of Labor is announcing a significant increase in the threshold – from $23,660 to approximately double that amount. What that means is that workers earning up to the new level, even if they are not called “hourly,” will get overtime pay for their hours worked over 40 in a work week. In 1975, the salary basis test captured 60 percent of salaried workers; in 2015, only 8 percent of salaried workers fall below this level and earn overtime. While writing my book, Under The Bus: How Working Women Are Being Run Over, I discovered (with help from EPI’s economists) just how much this change will help workers, particularly women of color.
The Fair Labor Standards Act (FLSA) established the requirement of minimum wage and overtime, but in a provision known as the “salary test,” the law provides that employers need not pay either the minimum wage or overtime to workers they designate as “bona fide executive, administrative, professional and outside sales employees,” so long as their daily tasks meet the DOL definition and they make more than $455 per week – which is how $23,660 breaks down as a weekly wage. Clearly, outdated level has given unscrupulous employers a way to avoid paying low-paid staff overtime by calling them “salaried.” Workers have had to challenge their denial of overtime when their employers tried to get out of the requirement by adding “manager” or “leader” to their title when their actual work consisted of serving fast food, shelving merchandise, or ringing up customers’ purchases.
Contrary to the statute’s original purpose, many workers put in the “salaried” category do little if any supervisory work. While in theory, “their duties must include managing a part of the enterprise and supervising other employees or exercising independent judgment on significant matters or require advanced knowledge,” the reality is quite different. This loophole has allowed employers to tell women that as a receptionist or typist they are administrative or professional, while in fact they have little or no supervisory responsibilities. But what they do get, in addition to a nicer title, is the right to work overtime without overtime pay. The Bush administration used regulatory black magic to push more workers into this category in 2004. That DOL rule cost an additional 8 million employees their overtime pay. Even without chicanery, the rules have become so lax that many employees are called “salaried” who should be earning overtime under the FLSA’s original purpose. According to EPI’s Ross Eisenbrey, “under current rules, it literally means that you can spend 95 percent of the time sweeping floors and stocking shelves, and if you’re responsible for supervising people 5 percent of the time, you can then be considered executive and be exempt.”
What the New Proposed Overtime Rules Mean for Workers
In 2014, President Obama directed the Department of Labor to update the threshold under which all workers are eligible for overtime pay. Today, the Department of Labor announced that it will raise the overtime salary threshold from $23,660 to $50,440 by 2016. The threshold will also be indexed, guaranteeing that the law’s important protections will not be diminished by inflation.
We applaud President Obama and Secretary Perez for this bold action. The new threshold will protect more workers from being taken advantage of by their employers, giving some higher pay for working overtime and others reduced hours without any reduction in pay. This is a significant victory for American workers and will ensure that they get paid for the work they do.
More from EPI on Overtime:
EPI’s Overtime Issue Page: The latest EPI research on overtime
Why It’s Time to Update Overtime Pay Rules: Frequently Asked Questions
This higher threshold will guarantee 15 million more workers overtime pay on the basis of their salary alone, in addition to the 3.4 million workers who are already guaranteed overtime pay. It will boost wages, which have been largely stagnant for the past 35 years, create hundreds of thousands of jobs, and give more family time to millions of working parents. Overall, 3.1 million mothers and 3.2 million fathers will be guaranteed overtime pay under the new threshold, and 12.1 million children will benefit from their parents’ overtime coverage.
In 1975, the overtime salary threshold covered about 62 percent of all salaried workers–today, it only protects 8 percent. Had overtime kept pace with the 1975 level, it would be about $52,000 today adjusted for inflation, about equal to the U.S. median household income. The new salary threshold puts us back on track to reconnect workers’ wages with gains in productivity.
With today’s announcement, the DOL is opening a comment period that will give workers an opportunity to express their support of the proposed rule change. FixOvertime.org allows workers to use their voice and submit their comment for consideration as the Department of Labor decides whether or not to actually boost overtime in accordance with the proposed rule changes. It also lets workers calculate how much extra they can earn per week under the new overtime rules.
Are Disability Rates Increasing?
(This is the first of six blog posts on disability insurance.)
The Social Security Disability Insurance (SSDI) program is set to be the next big battle in Republicans’ long campaign to dismantle Social Security. Congressional Republicans are trying to block a routine reallocation of funds to the SSDI Trust Fund, insisting that they will only allow reallocation if “reforms” to SSDI are implemented. The intellectual underpinning for their demands is that there is an unfolding fiscal crisis caused by workers who are able to earn a living but are instead choosing to claim disability benefits. A chief proponent of this view, Stanford economist Mark Duggan, testified before the Senate Budget Committee earlier this year, claiming that disability benefits are increasingly attractive to lower-wage workers, who respond by leaving the labor force. According to Duggan, a key piece of evidence supporting this claim is an increase in the share of beneficiaries suffering from musculoskeletal disorders and other “subjective” health conditions who have a “substantial” employment potential.
Claims like these have become a mainstay of attacks on the disability program. However, a closer look at the evidence shows that SSDI benefits have become, if anything, less generous. Moreover, even research cited by critics shows SSDI receipt has a negligible impact on work effort because few applicants, including marginal applicants who were denied benefits, are able to earn a living afterward. Meanwhile, there are good explanations for the increase in the share of beneficiaries suffering from musculoskeletal disorders, including an aging population, rising obesity rates, and fewer workers able to retire early when their health deteriorates.
These topics will be discussed in later blog posts. This post will focus on whether disability incidence has increased in the first place. The evidence shows that while “raw” or unadjusted incidence–the number of new awards per thousand insured persons–increased as the large baby boomer cohort aged into the peak disability years before retirement, age-adjusted incidence hasn’t trended upward over the past 20 years, though it increased during periods of high unemployment. However, incidence has fallen in the wake of the Great Recession and as older baby boomers become eligible for Social Security retirement benefits, including disabled boomers who automatically transition to retirement benefits as they reach the normal retirement age.
An Updated Analysis of Who Would Benefit from an Increased Overtime Salary Threshold
If salaried employees are paid less than the overtime salary threshold (currently $23,660 in annual salary), they are entitled to overtime pay when they work more than 40 hours in a week. If however, they make more than the salary threshold, they are entitled to overtime pay only if their primary duty is not executive, administrative, or professional.
In a 2014 analysis, former EPI economist Heidi Shierholz estimated the share of salaried workers who were covered by the overtime salary threshold in 1975 and in 2013. She found that, despite an increase in the threshold in 2004, the share of the workforce covered by the threshold declined from 65 percent in 1975 to just 11 percent in 2013. This is because most of the value of the threshold was eliminated between 1975 and today due to inflation. As a result of Shierholz’s findings, EPI recommended that the overtime salary threshold be increased to the 1975 threshold in today’s dollars (in 2013, this was $51,168), which would have covered 47 percent of the workforce.
Because the analysis focused solely on the salary threshold test–i.e., because the analysis focused on just the salary of workers without regard for the duties of their occupation[1]–increasing the threshold to reflect an amount into today’s dollars wouldn’t mean that all of the workers who fell in between $23,660 and $51,168 would gain overtime protections. Many of these workers would already have been entitled to this protection because their primary job duty was not executive, administrative, or professional.
Now, in updating this analysis, we want to be as precise as possible in identifying the workers who will be affected by the updated salary threshold rule. To do this, we narrowed the sample to those workers who are full-time workers (usually work 35 hours or more at their primary job), expanded the age of the population to all workers 18 years or older (previously limited to those 18-64), and removed certain occupations that are automatically exempt from overtime protections (e.g., medical professionals, lawyers, judges, teachers of all levels, and religious workers).
Refugees Deserve Support in America, Not Just a Home
On World Refugee Day, The Hill published a Contributors piece by the libertarian Cato Institute’s immigration policy analyst, Alex Nowrasteh, headlined, “The US should be a home for refugees.” In it, he offers a brief history of refugee policy and flows into the United States over the past century and suggests that the United States “should … allow more to settle here.” That’s a noble sentiment, but the headline is misleading because it leaves out the substance of what Nowrasteh proposes in order to help make this happen. In short, Nowrasteh wants to welcome more refugees to the United States but proposes abandoning them and letting them fend for themselves once they get here…
Time to End the Vicious Cycle of Inequality Begetting Unequal Education
A new EPI study of the academic preparation of kindergartners by social class and race ended up being less about absolute preparation of children at the beginning of school and more about how prepared they are relative to one another. In short, children do not start school as equals. According to Inequalities at the Starting Gate: Cognitive and Noncognitive Skills Gaps between 2010–2011 Kindergarten Classmates, children’s school preparation is highly unequal, and what determines being better or worse off is a student’s social class.
While inequalities in the cognitive abilities of our young people have been documented by previous research (see EPI’s Inequality at the Starting Gate study from 2002 and Robert Putnam’s new book, Our Kids: The American Dream in Crisis), our study uses a dataset that allowed for examining how prepared children are in both cognitive (reading and math) and noncognitive domains (social skills, persistence, and creativity, among others). The data set (the National Center for Education’s Early Childhood Longitudinal Study of the Kindergarten Class of 2010-2011) also offers information on individual and family demographic characteristics and various enrichment activities that parents undertake with their children, enabling assessment of the importance of these variables for children’s preparation. All in all, the data allowed us to understand the broad school readiness of a recent generation of students. These students were born after—and thus presumably benefited from—the spread of prekindergarten education and other advances in school preparedness research and policymaking. But these children were also raised in a context of economic stagnation.
Consistently, results showed that having less money puts children at a relative disadvantage, in terms of the cognitive and noncognitive skills developed by the age of 5, while having more money benefits them, as skill levels increase along with social class. Most gaps are striking in size and appear for all the examined cognitive, noncognitive, and executive function skills. For example, children in the highest socioeconomic group have reading and math scores that are a full standard deviation larger than the scores of their peers in the lowest socioeconomic group. To give a sense of how large this gap is, it would take up to four independent, “substantively important,” education interventions to close the gap, according to a “classification of effects” from the U.S. Department of Education’s What Works Clearinghouse. The social-class-based gaps in other skills such as working memory, persistence in completing tasks, and self-control are 0.7, 0.4, and 0.5 standard deviations, respectively.