Trump’s debt proposal is a mix of conventional and unconventional stupidity

Over the weekend, Republican presidential candidate Donald Trump insisted that he could eliminate the national debt, which currently stands at around $19 trillion, “over a period of eight years.” Upon hearing this, most people would think that Trump planned to cut spending or hike taxes. However, Trump plans to cut taxes, which suggests that he had to be proposing enormous spending cuts. If spending cuts began rapidly enough to fulfill Trump’s promise of eliminating our $19 trillion debt, the “very massive recession” that is currently just another of Trump’s fantasies would become a very real possibility.

Trump, however, has something else in mind besides (or at least in addition to) spending cuts as a strategy for eliminating our national debt. Trump’s plan is a relatively new twist in D.C. policy debates: selling government assets.

This plan, while truly stupid, is a useful reminder about how limited and silly our budget deficit debates are in D.C. While it has received plenty of deserved scorn, we shouldn’t lose sight of the fact that about half of the ridiculousness of Trump’s overall debt plan actually just mimics pretty conventional D.C. budget wisdom. The other half brings a new kind of ridiculousness to the table, but these new proposals come with a grain of useful insight embedded in them. First, though, it will help to examine the conventional ridiculous featured in Trump’s plan.

First, there is the $19 trillion debt number that Trump references. Anybody who tells you the national debt is $19 trillion is simply fear-mongering. This $19 trillion number is the gross national debt, which includes debt issued to government accounts (in practice, this means debt held by the Social Security Trust Fund). According to the Congressional Budget Office (CBO), this debt “does not directly affect the economy and has no net effect on the budget.” What matters for future taxpayers is the net debt (i.e., the debt held by the public), which CBO’s most recent measure puts at about $13 trillion in 2015. $13 trillion should be a big-enough number to sound scary, but D.C. budget fear-mongers can never resist going for the even higher (though irrelevant) $19 trillion.

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Putting things in perspective: Bernie Sanders, trade, and poor countries’ access to U.S. markets

Yesterday, Zack Beauchamp updated a piece he had written a while back that claimed Bernie Sanders’ trade agenda could prove ruinous to the world’s poorest people. I think Beauchamp really overstates this, for a couple of reasons.

First, only an expansive reading of some of Sanders’ rhetorical excesses would lead one to think he would pursue policies that radically restricted the access to U.S. markets currently enjoyed by our poorer trading partners’ exports. It is not an uncommon reaction to criticisms of today’s global trade regime to assume that this market access would clearly be significantly reduced if this status quo were overturned, but that’s far from obvious.

Second, the evidence marshalled on behalf of trade liberalization’s positive benefits for development is entirely about the benefits of unilateral, domestic liberalization. That is, the benefits a country gains from cutting its own tariffs, and not about the ease of access that they have to the U.S. market. This evidence is completely silent on the benefits of access to the U.S. market. Economic theory teaches that the benefits of unilateral liberalization completely dwarf those of market access, and there is not much evidence to suggest that this theory is wrong.

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Commonsense rule to protect investors from conflicted advice survives industry onslaught

A rule requiring investment advisors to act in the best interest of clients saving for retirement was released today despite a six-year campaign to weaken or kill it. Secretary of Labor Thomas Perez and his staff deserve enormous credit for persevering.

The financial services industry made the usual claim that the rule would hurt the people it was supposed to help—essentially, that investors are better off with bad advice than no advice. It also told Congress the rule would be unduly burdensome, while assuring investors there was nothing to worry about, as Senator Elizabeth Warren and Representative Elijah Cummings pointed out.

Let’s hope the financial industry was lying to investors, not Congress, because the rule should have an impact on its bottom line. The only problem is that it doesn’t go far enough. A financial advisor can now be sued for recommending a higher-cost mutual fund over a similar but lower-cost fund without disclosing that he or she is working on commission—a practice that was perfectly legal until today. But the rule doesn’t require that he or she provide information about low-cost index funds and similar investments, even though the original draft rule pointed out that the prevailing view in the academic literature was that such a passive investment strategy was optimal.

It’s unlikely that investors could successfully sue advisors simply for steering them to higher-cost asset classes, as long as the investments are generally considered suitable for people saving for retirement (mutual funds or annuities, for example, and not shares in racehorses). But the mutual fund and insurance industries succeeded in having this spelled out in the final rule and eliminating a safe harbor for broker-dealers offering “high-quality low-fee products… calibrated to track the overall performance of financial markets.” The list of other changes is worth reading and perhaps worrying about, though they may matter little in practice and simply allow the administration to demonstrate its responsiveness while giving lobbyists something to show for their expensive efforts.

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The first of a wave of junk economic reports about the new overtime rule has washed ashore

The Department of Labor (DOL) is about to release a final rule that will require overtime pay for millions of salaried employees who currently can be required to work long hours for no more pay than they receive for a 40-hour week. This will give them either more money or more time with their families or for themselves.

But the overtime rule naturally makes some employers unhappy, since they can currently get 60 hours of work from many employees for only 40 hours of pay. Even some non-profit human service providers, which for the most part are not even covered by the Fair Labor Standards Act (FLSA), oppose DOL’s updated rule. This might be because they don’t understand the law, but that misunderstanding hasn’t stopped them from paying for and publishing the first of what will likely be a wave of spurious reports and cost estimates of the new rule.

An association of community providers serving people with intellectual and developmental disabilities (the American Network of Community Options and Resources, or ANCOR) commissioned a “study” by a company called Avalere to estimate the impact of the proposed overtime rule on its member agencies. Sadly, Avalere’s report is little more than a collection of baseless assumptions adding up to an absurd result. Neither the survey questions, nor the actual responses, nor the response rate were included in Avalere’s report.

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Treasury acts to curb inversions

Yesterday, the Treasury Department took laudable regulatory action to discourage corporate inversions, a tax evasion maneuver where U.S. multinational corporations merge with much smaller foreign corporations in order to move the corporation, on paper, to a lower-tax country. As Treasury Secretary Jack Lew notes, “After an inversion, many of these companies continue to take advantage of the benefits of being based in the United States—including our rule of law, skilled workforce, infrastructure, and research and development capabilities—all while shifting a greater tax burden to other businesses and American families.”

The new Treasury rules make it harder for companies to access some of the tax benefits of corporate inversions. If the shareholders of the old U.S. parent company end up owning more than 60 percent of the new merged foreign company, then many tax benefits obtained by inverting will be clawed back by Treasury. Today’s rule changes strengthen this provision by excluding the stock of the foreign company attributable to assets acquired from an American company in the three previous years. The upshot is that the ability of foreign companies to engage in serial inverting is reduced.

To see how this works, consider the recent example of Pfizer’s proposed inversion with Allergen. In 2014, Treasury issued a Notice to limit the tax breaks associated with an inversion to companies whose original shareholders owned less than 60 percent of the new merged foreign firm. Pfizer therefore structured its inversion so that its current shareholders would own 56 percent of the newly merged foreign company. However, Allergen is a serial inverter, being the result of numerous mergers with American companies over the past 3 years. With the new regulatory guidance, it looks likely that the Pfizer-Allergen inversion will no longer meet the appropriate threshold. The new regulatory action means that foreign firms cannot simply use a string of acquisitions to increase their size and avoid inversion thresholds.

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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.

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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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