We need to keep translating job openings into hires to reach full employment

According to this morning’s Job Openings and Labor Turnover Survey from the Bureau of Labor Statistics, the job-seekers to job-openings ratio held steady at 1.4 in February 2015, meaning there are still 14 job seekers for every 10 job openings in the economy. While there have been great improvements in the job-seekers ratio in the past several years, we are still far from a full employment economy. The job-seekers ratio also fails to reflect the missing workers in the economy today—in other words, those who are not actively seeking a job (in the last four weeks), but would likely start looking if the economy was stronger and they saw better opportunities for themselves in it.

Figure A

The job-seekers ratio, 2000-2016

Job-seekers ratio
Dec-2000 1.189611
Jan-2001 1.118477
Feb-2001 1.307213
Mar-2001 1.345825
Apr-2001 1.279535
May-2001 1.368352
Jun-2001 1.514953
Jul-2001 1.463214
Aug-2001 1.703435
Sep-2001 1.79673
Oct-2001 2.134258
Nov-2001 2.362858
Dec-2001 2.439586
Jan-2002 2.176643
Feb-2002 2.43624
Mar-2002 2.338496
Apr-2002 2.476671
May-2002 2.335651
Jun-2002 2.494205
Jul-2002 2.459689
Aug-2002 2.37937
Sep-2002 2.494256
Oct-2002 2.349929
Nov-2002 2.494876
Dec-2002 2.93578
Jan-2003 2.228033
Feb-2003 2.54895
Mar-2003 2.813893
Apr-2003 2.647305
May-2003 2.770492
Jun-2003 2.779244
Jul-2003 2.755657
Aug-2003 2.709717
Sep-2003 2.902082
Oct-2003 2.724493
Nov-2003 2.716503
Dec-2003 2.587741
Jan-2004 2.419775
Feb-2004 2.400647
Mar-2004 2.51213
Apr-2004 2.251309
May-2004 2.243716
Jun-2004 2.419977
Jul-2004 2.068124
Aug-2004 2.207792
Sep-2004 2.118386
Oct-2004 2.125791
Nov-2004 2.44966
Dec-2004 2.173699
Jan-2005 2.120981
Feb-2005 2.075423
Mar-2005 2.019577
Apr-2005 1.808155
May-2005 1.969876
Jun-2005 1.870711
Jul-2005 1.714749
Aug-2005 1.803339
Sep-2005 1.782629
Oct-2005 1.742577
Nov-2005 1.792891
Dec-2005 1.791093
Jan-2006 1.643555
Feb-2006 1.698747
Mar-2006 1.574004
Apr-2006 1.521368
May-2006 1.590339
Jun-2006 1.609795
Jul-2006 1.727251
Aug-2006 1.555044
Sep-2006 1.516165
Oct-2006 1.504249
Nov-2006 1.583045
Dec-2006 1.580645
Jan-2007 1.536933
Feb-2007 1.5514
Mar-2007 1.442563
Apr-2007 1.419983
May-2007 1.487033
Jun-2007 1.51454
Jul-2007 1.592205
Aug-2007 1.551482
Sep-2007 1.585231
Oct-2007 1.683023
Nov-2007 1.74206
Dec-2007 1.854232
Jan-2008 1.803991
Feb-2008 1.854775
Mar-2008 1.955011
Apr-2008 1.863592
May-2008 2.119949
Jun-2008 2.276347
Jul-2008 2.338917
Aug-2008 2.575171
Sep-2008 2.908701
Oct-2008 3.060146
Nov-2008 3.564953
Dec-2008 3.987986
Jan-2009 4.357788
Feb-2009 4.621283
Mar-2009 5.389803
Apr-2009 5.877387
May-2009 5.974042
Jun-2009 6.057249
Jul-2009 6.648907
Aug-2009 6.424111
Sep-2009 6.056901
Oct-2009 6.396667
Nov-2009 6.47617
Dec-2009 6.272538
Jan-2010 5.707891
Feb-2010 5.862296
Mar-2010 5.702176
Apr-2010 4.759317
May-2010 5.136285
Jun-2010 5.433183
Jul-2010 4.894435
Aug-2010 5.016438
Sep-2010 5.268883
Oct-2010 4.78602
Nov-2010 5.17536
Dec-2010 5.022051
Jan-2011 4.767948
Feb-2011 4.522251
Mar-2011 4.388818
Apr-2011 4.246121
May-2011 4.449261
Jun-2011 4.330645
Jul-2011 3.960576
Aug-2011 4.361742
Sep-2011 3.990844
Oct-2011 3.973692
Nov-2011 4.218839
Dec-2011 3.886316
Jan-2012 3.481168
Feb-2012 3.66124
Mar-2012 3.301661
Apr-2012 3.450996
May-2012 3.414733
Jun-2012 3.348365
Jul-2012 3.427721
Aug-2012 3.413133
Sep-2012 3.436173
Oct-2012 3.268247
Nov-2012 3.377672
Dec-2012 3.439318
Jan-2013 3.345097
Feb-2013 3.009567
Mar-2013 2.99436
Apr-2013 2.963907
May-2013 2.995625
Jun-2013 3.002811
Jul-2013 2.902171
Aug-2013 2.877837
Sep-2013 2.836136
Oct-2013 2.718811
Nov-2013 2.783909
Dec-2013 2.778995
Jan-2014 2.624099
Feb-2014 2.531723
Mar-2014 2.478582
Apr-2014 2.12
May-2014 2.111449
Jun-2014 2.01919
Jul-2014 2.062179
Aug-2014 1.942044
Sep-2014 1.995706
Oct-2014 1.835989
Nov-2014 1.917602
Dec-2014 1.807684
Jan-2015 1.794047
Feb-2015 1.685052
Mar-2015 1.651931
Apr-2015 1.527419
May-2015 1.60026
Jun-2015 1.598684
Jul-2015 1.42519
Aug-2015 1.51055
Sep-2015 1.478545
Oct-2015 1.456842
Nov-2015 1.524432
Dec-2015 1.496686
Jan-2016 1.390257
Feb-2016 1.435262
ChartData Download data

The data below can be saved or copied directly into Excel.

Economic Policy Institute

Note: Shaded areas denote recessions.

Source: EPI analysis of Bureau of Labor Statistics Job Openings and Labor Turnover Survey and Current Population Survey

Copy the code below to embed this chart on your website.

There is still a substantial gap between the number of job openings and the number of unemployed people, illustrating just how far we are from full employment. As shown in the figure below, this gap is far larger today than it would be in a tight labor market.

Figure B

Job openings levels and unemployment levels, 2000-2016

Job Openings level Unemployment level
Dec-2000 4.736 5.634
Jan-2001 5.385 6.023
Feb-2001 4.658 6.089
Mar-2001 4.563 6.141
Apr-2001 4.901 6.271
May-2001 4.55 6.226
Jun-2001 4.28 6.484
Jul-2001 4.499 6.583
Aug-2001 4.134 7.042
Sep-2001 3.975 7.142
Oct-2001 3.605 7.694
Nov-2001 3.387 8.003
Dec-2001 3.385 8.258
Jan-2002 3.759 8.182
Feb-2002 3.372 8.215
Mar-2002 3.551 8.304
Apr-2002 3.472 8.599
May-2002 3.596 8.399
Jun-2002 3.365 8.393
Jul-2002 3.411 8.39
Aug-2002 3.49 8.304
Sep-2002 3.308 8.251
Oct-2002 3.535 8.307
Nov-2002 3.415 8.52
Dec-2002 2.943 8.64
Jan-2003 3.824 8.52
Feb-2003 3.381 8.618
Mar-2003 3.052 8.588
Apr-2003 3.34 8.842
May-2003 3.233 8.957
Jun-2003 3.334 9.266
Jul-2003 3.27 9.011
Aug-2003 3.283 8.896
Sep-2003 3.074 8.921
Oct-2003 3.205 8.732
Nov-2003 3.157 8.576
Dec-2003 3.214 8.317
Jan-2004 3.459 8.37
Feb-2004 3.402 8.167
Mar-2004 3.38 8.491
Apr-2004 3.629 8.17
May-2004 3.66 8.212
Jun-2004 3.424 8.286
Jul-2004 3.934 8.136
Aug-2004 3.619 7.99
Sep-2004 3.742 7.927
Oct-2004 3.792 8.061
Nov-2004 3.238 7.932
Dec-2004 3.65 7.934
Jan-2005 3.67 7.784
Feb-2005 3.845 7.98
Mar-2005 3.831 7.737
Apr-2005 4.243 7.672
May-2005 3.884 7.651
Jun-2005 4.022 7.524
Jul-2005 4.319 7.406
Aug-2005 4.073 7.345
Sep-2005 4.237 7.553
Oct-2005 4.277 7.453
Nov-2005 4.22 7.566
Dec-2005 4.064 7.279
Jan-2006 4.298 7.064
Feb-2006 4.229 7.184
Mar-2006 4.493 7.072
Apr-2006 4.68 7.12
May-2006 4.389 6.98
Jun-2006 4.349 7.001
Jul-2006 4.154 7.175
Aug-2006 4.56 7.091
Sep-2006 4.516 6.847
Oct-2006 4.472 6.727
Nov-2006 4.341 6.872
Dec-2006 4.278 6.762
Jan-2007 4.63 7.116
Feb-2007 4.465 6.927
Mar-2007 4.666 6.731
Apr-2007 4.824 6.85
May-2007 4.55 6.766
Jun-2007 4.608 6.979
Jul-2007 4.49 7.149
Aug-2007 4.555 7.067
Sep-2007 4.523 7.17
Oct-2007 4.3 7.237
Nov-2007 4.156 7.24
Dec-2007 4.123 7.645
Jan-2008 4.26 7.685
Feb-2008 4.042 7.497
Mar-2008 4.001 7.822
Apr-2008 4.098 7.637
May-2008 3.96 8.395
Jun-2008 3.767 8.575
Jul-2008 3.821 8.937
Aug-2008 3.665 9.438
Sep-2008 3.264 9.494
Oct-2008 3.292 10.074
Nov-2008 2.956 10.538
Dec-2008 2.83 11.286
Jan-2009 2.767 12.058
Feb-2009 2.791 12.898
Mar-2009 2.491 13.426
Apr-2009 2.357 13.853
May-2009 2.427 14.499
Jun-2009 2.428 14.707
Jul-2009 2.196 14.601
Aug-2009 2.306 14.814
Sep-2009 2.478 15.009
Oct-2009 2.4 15.352
Nov-2009 2.35 15.219
Dec-2009 2.407 15.098
Jan-2010 2.636 15.046
Feb-2010 2.578 15.113
Mar-2010 2.666 15.202
Apr-2010 3.22 15.325
May-2010 2.891 14.849
Jun-2010 2.664 14.474
Jul-2010 2.965 14.512
Aug-2010 2.92 14.648
Sep-2010 2.767 14.579
Oct-2010 3.033 14.516
Nov-2010 2.914 15.081
Dec-2010 2.857 14.348
Jan-2011 2.939 14.013
Feb-2011 3.056 13.82
Mar-2011 3.13 13.737
Apr-2011 3.287 13.957
May-2011 3.114 13.855
Jun-2011 3.224 13.962
Jul-2011 3.475 13.763
Aug-2011 3.168 13.818
Sep-2011 3.495 13.948
Oct-2011 3.421 13.594
Nov-2011 3.153 13.302
Dec-2011 3.369 13.093
Jan-2012 3.664 12.755
Feb-2012 3.501 12.818
Mar-2012 3.852 12.718
Apr-2012 3.663 12.641
May-2012 3.706 12.655
Jun-2012 3.792 12.697
Jul-2012 3.694 12.662
Aug-2012 3.655 12.475
Sep-2012 3.533 12.14
Oct-2012 3.713 12.135
Nov-2012 3.556 12.011
Dec-2012 3.576 12.299
Jan-2013 3.712 12.417
Feb-2013 3.972 11.954
Mar-2013 3.901 11.681
Apr-2013 3.962 11.743
May-2013 3.886 11.641
Jun-2013 3.913 11.75
Jul-2013 3.915 11.362
Aug-2013 3.921 11.284
Sep-2013 3.985 11.302
Oct-2013 4.104 11.158
Nov-2013 3.878 10.796
Dec-2013 3.742 10.399
Jan-2014 3.884 10.192
Feb-2014 4.098 10.375
Mar-2014 4.202 10.415
Apr-2014 4.575 9.699
May-2014 4.603 9.719
Jun-2014 4.69 9.47
Jul-2014 4.68 9.651
Aug-2014 4.952 9.617
Sep-2014 4.658 9.296
Oct-2014 4.896 8.989
Nov-2014 4.721 9.053
Dec-2014 4.815 8.704
Jan-2015 4.972 8.92
Feb-2015 5.131 8.646
Mar-2015 5.18 8.557
Apr-2015 5.58 8.523
May-2015 5.386 8.619
Jun-2015 5.168 8.262
Jul-2015 5.788 8.249
Aug-2015 5.308 8.018
Sep-2015 5.36 7.925
Oct-2015 5.422 7.899
Nov-2015 5.198 7.924
Dec-2015 5.281 7.904
Jan-2016 5.604 7.791
Feb-2016 5.445 7.815
ChartData Download data

The data below can be saved or copied directly into Excel.

Economic Policy Institute

Note: Shaded areas denote recessions.

Source: EPI analysis of Bureau of Labor Statistics Job Openings and Labor Turnover Survey and Current Population Survey

Copy the code below to embed this chart on your website.

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California and New York’s bold $15 minimum wage proposals are exactly what we need

The plans to raise the minimum wage to $15 in California and New York are ambitious and welcome at a time when the eroding value of the federal minimum wage means more and more working families can afford less and less. California’s minimum wage would reach $15 in 2023 for all employees and in 2022 for those in firms with more than twenty-five employees. New York’s plan would raise the minimum wage to $15 by 2018 in New York City and by 2022 in the City’s suburbs and on Long Island. The minimum wage upstate would rise to at least $12.50, with the possibility of then going higher. These increases are significantly larger in scope than what has been typical of recent federal and state minimum wage hikes. Furthermore, both proposals would raise the wage floor to levels relative to the wages of typical workers that have not been the norm for at least three decades.

The fact that these proposals are outside the bounds of recent experience does not automatically make them ill-conceived. Moving beyond the timidity of most recent minimum wage hikes is exactly what is needed if we are to undo decades of falling wages and deteriorating living standards for the lowest-paid third of America’s workforce.

The Berkeley Labor Center estimates that 5.6 million workers—or the entire bottom third of the California workforce—would benefit from the California increase (excluding those already helped by various city initiatives). EPI’s analysis estimates that 3.2 million workers, or 37 percent of the New York workforce, would benefited from a statewide increase to $15, although the number affected by the current proposal would be less, given the smaller wage hike in the upstate region.

Read more

The U.S. Women’s Soccer Team shows us just how much is at stake in the gender wage gap

Looking ahead to Equal Pay Day later this month, five top female U.S. soccer players made headlines for filing a case against U.S. Soccer for wage discrimination. Even while they have received far higher honors in soccer fame than the men’s national team, the players contend that they earn as little as 40 percent of their male counterparts. For example, the players claim that a men’s U.S. soccer player can earn as much as $8,166 extra for a win at an exhibition game—a women’s player, meanwhile, receives as little as $1,350 extra for winning a similar match.

While this case is high profile, the fact is that the gender pay gap exists across occupations and throughout the economy and that gaps between men’s and women’s pay can add up to a substantial amount over time. Equal Pay Day is April 12 this year because it marks how far into 2016 women would have to work to earn the same amount that men earned in the 2015. Depending on factors like occupation, race, and education level, though, this date could stretch far beyond April 12 for many women.

In 2015, the typical woman’s hourly pay was only 83.3 percent of the typical men’s hourly pay. That means that the median woman earns about 83 cents on the man’s dollar. At the bottom of the wage distribution, pay is relatively more equal, as the minimum wage, though low by historical standards, still provides a wage floor that ensures working people earning it are paid at the same rate. The gap at the top of the wage distribution, meanwhile, is much larger because men disproportionately hold jobs in higher paying occupations, which tend to reward excessive work hours (though longer work hours do not necessarily translate to higher per hour productivity). Additionally, women are more likely to be perceived as less dedicated to their careers, regardless of whether they work the same hours as their male counterparts, (i.e. gender discrimination), which can lead to huge losses in earnings over the course of their careers in the form of forgone promotions and pay raises.

Figure A

The gender wage gap is largest among top earners: Women’s hourly wages as a share of men’s at various wage percentiles, 1979–2015

10th percentile 50th percentile 95th percentile
1979-01-01 86.7% 62.7% 62.9%
1980-01-01 83.2% 63.4% 64.8%
1981-01-01 88.7% 64.2% 63.6%
1982-01-01 88.9% 64.8% 64.8%
1983-01-01 89.3% 66.5% 62.9%
1984-01-01 87.2% 67.4% 64.1%
1985-01-01 85.8% 67.1% 63.2%
1986-01-01 84.7% 66.9% 66.2%
1987-01-01 83.5% 69.1% 65.8%
1988-01-01 81.5% 71.1% 68.0%
1989-01-01 81.3% 73.1% 71.9%
1990-01-01 83.4% 74.4% 72.7%
1991-01-01 86.8% 74.9% 72.8%
1992-01-01 89.7% 76.2% 73.9%
1993-01-01 90.9% 77.6% 74.4%
1994-01-01 90.8% 78.4% 76.3%
1995-01-01 88.2% 76.7% 76.6%
1996-01-01 87.2% 77.6% 77.0%
1997-01-01 87.0% 79.0% 75.2%
1998-01-01 89.4% 78.2% 76.7%
1999-01-01 87.6% 76.9% 77.0%
2000-01-01 87.3% 78.0% 75.6%
2001-01-01 87.3% 78.5% 75.7%
2002-01-01 89.6% 80.1% 76.2%
2003-01-01 89.4% 81.0% 76.8%
2004-01-01 89.3% 81.8% 75.3%
2005-01-01 88.3% 82.0% 77.2%
2006-01-01 88.8% 82.2% 77.9%
2007-01-01 89.9% 81.5% 77.2%
2008-01-01 90.3% 82.6% 77.0%
2009-01-01 92.3% 81.7% 74.6%
2010-01-01 92.9% 83.3% 76.8%
2011-01-01 93.4% 84.0% 77.9%
2012-01-01 91.7% 82.8% 74.5%
2013-01-01 91.8% 83.4% 76.1%
2014-01-01 90.9% 82.9% 78.6%
2015-01-01 92.2% 83.3%  73.0% 

 

ChartData Download data

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Economic Policy Institute

Note: The xth-percentile wage is the wage at which x% of wage earners earn less and (100-x)% earn more.

Source: EPI analysis of Current Population Survey Outgoing Rotation Group microdata

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Gender wage gaps also exist across all levels of education. Even among the most educated workers—those with an advanced degree—large wage-gaps persist, with women making only 73.4 percent of men’s hourly wages. Among those with a college degree, women make 75.2 percent of male earnings. For those with a high school degree, women make 78.3 cents on the high-school-educated man’s dollar.

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What to Watch on Jobs Day: Signs of more workers returning to the economy and increases in their wages

I’ll be looking at two particular trends tomorrow when the March Employment Situation report comes out. First, I’ll look at what’s happening with the labor force participation rate, along with the accompanying employment-to-population ratio and the unemployment rate. Second, I’ll continue to look at nominal wage growth, to measure the strength of the recovery’s impact on workers.

The first indicator to watch, which has showed signs of a turnaround, is labor force participation. Both the overall and the prime-age labor force participation rates appear to have bottomed out in mid-2015 and have been slowly rising the last few months, but the labor force is still down by about 2.4 million “missing workers.” These workers aren’t counted among the unemployed, because they haven’t actively looked for work in the last four weeks, but they are likely to return to the labor force as the economy recovers. Last month, we saw some signs of that return, as the number of missing workers fell and the overall and prime-age employment-to-population ratios rose slightly. There is still far to go before we reach full employment, but this is certainly an encouraging sign that we are moving in the right direction.

While the unemployment rate has been holding steady, a slight rise in coming months could actually be a positive move—if driven rising labor force participation, which would mean that potential workers see hope for themselves in the labor market and have started to look for jobs. As more potential workers get pulled back into the labor market and more unemployed workers get jobs, we should see this labor market tightness translate into stronger wage growth.

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Are employee contributions essential to unemployment insurance?

A new report by Andrew Stettner, senior fellow at The Century Foundation, brings needed attention to the nation’s troubled unemployment insurance (UI) programs. The report concentrates on crucial financing questions, noting that the lack of UI state reserves prior to the Great Recession led to significant cuts in state programs in recent years, with benefit recipiency rates reaching historically low levels in 2014 and 2015. In particular, Stettner notes that six out of every seven unemployed individuals in the most restrictive Southern states go without benefits, a level that calls into question whether those states still provide meaningful social insurance. At the same time, low reserves continue to threaten a majority of states while we head inevitably toward the next recession. According to the report, only 18 states currently meet recommended trust fund levels.

Stettner recounts the main facts in his overview of recent UI developments, including recent state UI benefit cuts and financing changes. Despite these benefit cuts and financing changes, he reports that state reserves are less than 60 percent of the trust fund reserves found prior to the recent recession. Worryingly, many of the states adopting benefit cuts will remain at low solvency levels when the next recession arrives.

Wayne Vroman, a long-time expert on UI financing at the Urban Institute, has reinforced some of Stettner’s observations on UI financing in a recent report. Vroman has written about UI financing since the 1980s, and this report shows a troubling pattern he has called attention to in recent years. Our 13 biggest states—where about two-thirds of benefits are paid and UI taxes collected—do a remarkably poor job of UI financing. Vroman finds that “program revenue responded more slowly in the 13 big states and their benefits were reduced more when compared with the other states in the state UI system.” Vroman’s more technical approach presents a number of regressions trying to better understand why big states fail to adequately finance their state UI trust funds. While his paper can’t fully explain the big states’ failures, Vroman does identify factors that make UI financing stronger, most notably the indexation of the taxable wage base.

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The long-awaited silica rule is a step forward for workers

The Department of Labor has taken another significant action to protect American workers from harm by issuing a final rule to control employee exposure to silica dust, which destroys lung tissue and causes cancer, disabling thousands of workers every year and killing hundreds more. Secretary of Labor Tom Perez and OSHA Administrator David Michaels have persevered against a political hailstorm to finish this rule, which was first conceived more than 35 years ago.

Some employers will complain that it’s too expensive to protect their employees from lung disease, but it’s not.  Thousands of businesses, in construction, mining, brick-making, and other industries already meet the standard. A dent in the profits of the businesses that haven’t cared enough in the past to do what was needed is no reason to back away now from safer workplaces and better lives for millions of Americans.

Ultimately, the decision to issue this rule rests with President Obama, who deserves credit for putting people first.

What second graders can teach us about inequality

This post originally appeared on TalkPoverty.org.

Two of the most widely cited statistics on inequities within the American labor market are that the average woman earns just 79 cents for every dollar earned by a man, and that the black unemployment rate is typically double that of whites. While these statistics are partly accounted for by differences in occupation or education, gender pay inequities persist even among men and women in the same job, and the two-to-one unemployment disparity exists even for blacks and whites with the same level of education. What this means is that even among otherwise socioeconomically similar individuals, we can still observe differences in pay or employment that arise from discrimination.

Although the explicitly discriminatory policies and practices that created these disparities are now illegal—thanks in part to Title VII of the Civil Rights Act of 1964, which outlawed employment and pay discrimination on the basis of race, color, religion, sex or national origin—the inequities persist. That’s because many of the channels through which opportunity is passed, like social networks, are shaped by biases based on race and gender. Regardless of whether these biases are conscious or subconscious, patterns of old-fashioned segregation stand in the way of eradicating them.

Recently, I gained some profound insight into this phenomenon from a most unlikely place: a second-grade music class.

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House Republicans cling to false promise of austerity in their budget resolution

This week, the House Budget Committee reported out, on a party-line vote, their fiscal year 2017 budget resolution. Infighting between House Republicans, centered on the idea that proposed spending cuts should be even more drastic, suggests that this year’s budget resolution is unlikely to pass. However, with all the media attention focused on the House Republican’s inability to come to an agreement, we shouldn’t lose sight of just how austere their budget resolution already is, and how much damage the cuts it calls for would do to the economy over both the short and long run.

For example, the cuts over the first two years would impose a significantly larger fiscal drag on economic recovery than previous Republican budgets. It’s true that the economy is healthier than it’s been in previous years, and the Federal Reserve may have more scope to neutralize fiscal drag than in years past, so it’s possible (if not likely) that job growth may be able to absorb some of this fiscal drag beyond 2017. Because of this possibility, we have departed from previous years’ practice in specifying a point estimate on how much this budget will affect economic growth and job creation in years beyond 2017. However, the evidence is still overwhelming that rapid spending cuts would be deeply damaging to a still-weak economy, and we can be pretty concrete about this over the next year.

GOP House budget resolutions for the past several years have been obsessed with eliminating the budget deficit by the end of the ten year budget window. This was already a quixotic and damaging goal, and it has become even more so thanks to changes in the CBO’s baseline. And while deficits are created from revenue minus spending, congressional Republicans’ outright refusal to raise any taxes means that spending cuts—and thereby low- and middle- income people—must bear the entire brunt of the budget resolution’s burden. They bear this burden to the tune of $6.5 trillion in spending cuts to vital programs over ten years—programs that overwhelmingly serve those most in need. The cuts would take away affordable health insurance coverage from the millions that have gained it under the Affordable Care Act and then further erode the safety net with cuts to Medicaid, unemployment benefits, and nutrition assistance. Besides making the economic lives of vulnerable populations harder, focusing cuts on this group imposes a large fiscal drag, since these are households that tend to spend (not save) additional dollars of resources back into the economy.

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The president could create 100,000 jobs for young Americans by ending J-1 Summer Work Travel

As part of his fiscal year 2017 budget, President Obama has proposed to spend “nearly $6 billion in new funding to help more than 1 million young people gain the work experience, skills, and networks that come from having a first job.” There’s no question that this is a good idea and Congress should fund it. The New York Times editorial board said essentially the same, calling on the Republicans in Congress who oppose it to “consider the desperation that young unemployed people are facing in this country and the civic costs of standing idly by and doing nothing to help them.” If you’re feeling déjà vu, it’s because last year President Obama also asked Congress for appropriations to fund youth employment programs, to the tune of $3 billion. But Congress didn’t fund the president’s proposal last year, and they’re unlikely to fund it this year either. In consideration of this political reality, President Obama should do what he can through executive action. To start with, he could open up 100,000 jobs for young Americans today for free by simply eliminating the State Department’s J-1 visa Summer Work Travel (SWT) program.

SWT is one of many “cultural exchange” programs in State’s larger overall J-1 visa Exchange Visitor Program, which brings over 300,000 foreign researchers, students, and workers into the country every year through a variety of programs, along with 30,000 to 40,000 of their spouses and children who can come with J-2 visas. In the J-1 SWT program alone, approximately 100,000 foreign college students from around the world come to the United States to work for four months in hotels, beach resorts, restaurants, ice cream shops, and various other seasonal businesses, in a variety of low-paying, lesser-skill jobs. Reports like EPI’s Guestworker Diplomacy and the Southern Poverty Law Center’s Culture Shock have explained in detail how SWT is a temporary foreign worker program disguised as an exchange program, and is administered by an agency with zero expertise in enforcing labor and employment laws. Numerous worker abuses and even human trafficking have been facilitated by this temporary work visa program, and the basic structure of the program, which allows such abuses to occur, has not changed.

The legal authority for SWT originally came from the Fulbright-Hays Act of 1961, which created the overarching Exchange Visitor Program to facilitate educational and cultural exchanges with persons from abroad by allowing them to visit the United States temporarily. But most of the individual programs were created entirely by the executive branch, and their regulatory frameworks are outlined mainly in State Department regulations. This is in fact the case with SWT, which operated for decades without any specific congressional authorization, despite the fact that it arguably contains no educational or cultural component. In 1998, Congress did weigh in on SWT, by including one sentence in an omnibus appropriations bill that authorizes the State Department to “administer summer travel and work programs without regard to preplacement requirements.” This authorizing language, however, does not require the State Department to continue to run the SWT program, it simply permits it.

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Some good news and some bad news in today’s JOLTS report

This morning’s Job Openings and Labor Turnover Survey (JOLTS) report has both some optimistic news about the economy and some rather disappointing news (and revisions to the entire historical series). I’m optimistic because job openings increased in January, rising from 5.3 million to 5.5 million between December 2015 and January 2016. And, the rate of job openings—the number of job openings as a share of total employment and job openings—increased from 3.6 to 3.7. Over the last year the rate of job openings has risen from 3.4 to 3.7—a sign of an economy that continues to recover.

But, what we need is for those job openings to translate into hires. Unfortunately, in January, the hires rate dipped, falling from 3.8 to 3.5 in one month. I wouldn’t put much stock in any one month’s fluctuations as the series are quite volatile, however, such a substantial drop in the hires rate is not an indication of positive movement in the labor market. While there has been clear progress in terms of growing job openings, it is also important to remember that a job opening when the labor market is weak often does not mean the same thing as a job opening when the labor market is strong. There is a wide range of “recruitment intensity” a company can put behind a job opening. If a firm is trying hard to fill an opening, it may increase the compensation package and/or scale back the required qualifications. On the other hand, if it is not trying very hard, it might hike up the required qualifications and/or offer a meager compensation package. Perhaps unsurprisingly, research shows that recruitment intensity is cyclical—it tends to be stronger when the labor market is strong, and weaker when the labor market is weak. This means that when a job opening goes unfilled and the labor market is far from full employment, as it is today, companies may very well be holding out for an overly-qualified candidate at a cheap price.

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