Over the past year, increasing attention has focused on the prevalence and growth of income inequality in the United States. While soaring incomes at the top of the income distribution have played a large role in these trends (Mishel and Sabadish 2012), so too has the failure to ensure that lower-income workers earn a fair wage.
On March 29, Sen. Tom Harkin (D-Iowa) introduced the Rebuild America Act, which includes an increase in the federal minimum wage from the current $7.25 (where it has been for three years) to $9.80 via three incremental increases of $0.85, after which it would be indexed to inflation. The tipped minimum wage (the minimum wage paid to workers who earn a portion of their wages in tips) would also be increased in $0.85 increments from its current value of $2.13 per hour, where it has languished since 1996, until it reaches 70 percent of the regular minimum wage. On July 26, Sen. Harkin introduced a stand-alone minimum-wage bill containing these provisions, S. 3453, The Fair Minimum Wage Act of 2012. On the same day, Rep. George Miller (D-Calif.) introduced legislation in the House of Representatives, H.R. 6211, mirroring Harkin’s minimum-wage legislation.1
Raising the minimum wage would help workers still reeling from the effects of the recession. The resulting impact on the overall economy would be demonstrably positive, as minimum-wage workers would spend their new earnings immediately, generating a positive impact on GDP and related modest employment growth.
This paper begins by providing a demographic overview of the workers who would benefit from the proposed increase in the minimum wage, examining characteristics such as their gender, age, race and ethnicity, educational attainment, work hours, family income, and family composition. Next, it details the estimated GDP and job creation impacts that would result from an increase in the federal minimum wage to $9.80.
Key findings include:
- Increasing the federal minimum wage to $9.80 by July 1, 2014, would raise the wages of about 28 million workers, who would receive nearly $40 billion in additional wages over the phase-in period.2
- Across the phase-in period of the minimum-wage increase, GDP would increase by roughly $25 billion, resulting in the creation of approximately 100,000 net new jobs over that period.
- Those who would see wage increases do not fit some of the stereotypes of minimum-wage workers.
- Women would be disproportionately affected, comprising nearly 55 percent of those who would benefit.
- Nearly 88 percent of workers who would benefit are at least 20 years old.
- Although workers of all races and ethnicities would benefit from the increase, non-Hispanic white workers comprise the largest share (about 56 percent) of those who would be affected.
- About 42 percent of affected workers have at least some college education.
- Around 54 percent of affected workers work full time, over 70 percent are in families with incomes of less than $60,000, more than a quarter are parents, and over a third are married.
- The average affected worker earns about half of his or her family’s total income.
Demographic characteristics of affected workers
Increasing the minimum wage to $9.80 would benefit millions of workers whose characteristics—in terms of their gender, age, race and ethnicity, educational attainment, work hours, family income, and family composition—contradict some prevailing beliefs about minimum-wage workers. In the first year, with an increase from $7.25 to $8.10, nearly 13 million directly and indirectly affected workers would see higher wages. This number would rise to about 20 million workers with the second incremental increase to $8.95 in 2013, and to more than 28 million workers with the third incremental increase to $9.80 in 2014, as shown in Figure A.3 As detailed later in this section, the vast majority of these workers are not teenage part-time workers; rather, most are at least 20 years old, over half work full time, and many are struggling to support their families.
Gender
While increasing the minimum wage would have a sizable impact on both men and women, it would disproportionately affect women. That women comprise 54.5 percent of workers who would be affected by a potential minimum-wage increase makes it a women’s issue (see Figure B). The share of those affected who are women varies somewhat by state, from a low of 49.3 percent in California to a high of 64.4 percent in Mississippi (according to the authors’ analysis of Current Population Survey Outgoing Rotation Group microdata). California and Nevada, also at 49.3 percent, are the only states where women do not constitute the majority of those who would benefit.
Age
Minimum-wage workers are older and, as discussed later, have greater family responsibilities than commonly portrayed. The facts do not support the perception of minimum-wage workers as primarily teenagers working for spending money (though even if true, it would not justify paying teens subpoverty wages).
Instead, as seen in Figure C, 87.9 percent of workers who would be affected by increasing the federal minimum wage to $9.80 are at least 20 years old. This share varies from a low of 77.1 percent in Massachusetts to 92.4 percent in Florida (and 93.9 percent in the District of Columbia). Thus, in every state, more than three-fourths of workers who would be affected are at least 20 years old.
Race/ethnicity
Increasing the minimum wage would substantially benefit both minority and non-minority workers. Figure D reveals that nationally, 56.1 percent of workers who would be affected are non-Hispanic white workers. Nearly a quarter (23.6 percent) are Hispanic, 14.2 percent are black, and 6.1 percent are Asian or of another race or ethnicity.
As one would expect given the country’s diverse social and cultural makeup, the racial and ethnic composition of workers affected by increasing the federal minimum wage to $9.80 varies considerably by state (according to an analysis of Current Population Survey Outgoing Rotation Group microdata):
- The Asian/other composition ranges from 0.5 percent in West Virginia to 75.2 percent in Hawaii.
- The black composition ranges from 0.0 percent in Montana to 43.9 percent in Mississippi (and 53.3 percent in the District of Columbia).
- The Hispanic composition ranges from 0.6 percent in Vermont to 58.7 percent in California.
- The white composition ranges from 9.8 percent in Hawaii to 94.7 percent in West Virginia.
Educational attainment
Data on educational attainment of those who would be affected by a minimum-wage increase further dispel the misperception of minimum-wage workers as high school students working in low-wage jobs for spending money. In fact, nationally just 22.6 percent of those who would be affected have less than a high school degree, while fully 42.3 percent have some college education, an associate degree, or a bachelor’s degree or higher (see Figure E).
Work hours
Among those who would be affected by increasing the minimum wage to $9.80, only 15.0 percent are part-time workers (defined as those who work less than 20 hours per week). More than half (54.1 percent) work full time (35 or more hours per week), while 30.9 percent work between 20 and 34 hours per week, as seen in Figure F.
As depicted in Figure G, Southern states generally have a much smaller share of affected workers who work part time. The states with the lowest shares include Texas (8.6 percent), Arkansas (10.0 percent), and Florida (10.4 percent). (The District of Columbia’s share stands at 5.8 percent.) States with the highest shares of affected workers who work part time tend to be concentrated in the Northeast, led by Massachusetts (27.0 percent) and Connecticut (26.0 percent). They are followed by Minnesota (25.4 percent), New Hampshire (25.1 percent), and Maine (25.0 percent).
Share of workers affected by increasing the federal minimum wage to $9.80 (by July 1, 2014) who work part time,* by state
* Part-time workers are defined as those working less than 20 hours per week.
Source: Authors' analysis of Harkin/Miller proposal using Current Population Survey Outgoing Rotation Group microdata
Family income
The family income of those who would be affected by a minimum-wage increase is generally low to moderate. As shown in Figure H, 70.7 percent of affected families have a total family income of less than $60,000, and nearly a quarter (23.6 percent) have total family income of less than $20,000. Among all U.S. families, the median family income in 2010 was $60,395 (according to data from the Current Population Survey).
The share of families affected by increasing the federal minimum wage to $9.80 with family income under $60,000 varies considerably by state, from about half (49.0 percent) in New Hampshire to more than four-fifths (83.1 percent) in Mississippi, as seen in Figure I.
Those who would be affected by increasing the minimum wage to $9.80 are vital contributors to their families’ earnings. Nationally, the average affected worker earns roughly half (49.4 percent) of his or her family’s total income, as shown in Figure J. This percentage varies from a low of 32.4 percent in Connecticut to a high of 59.5 percent in Mississippi.
Family composition
Nationally, over a quarter (28.0 percent) of those who would be affected by increasing the minimum wage to $9.80 are parents, while over a third (35.8 percent) are married (according to an analysis of Current Population Survey Outgoing Rotation Group microdata). Moreover, of the 76 million children in the United States, over a quarter (28.2 percent) have a parent who would benefit from the proposed federal minimum-wage increase. This percentage varies from 15.2 percent in Vermont (and 11.5 percent in the District of Columbia) to 39.5 percent in Texas, as shown in Figure K. Four other states where over a third of children have a parent who would benefit from the minimum-wage increase include Mississippi (36.7 percent), Oklahoma (35.6 percent), Georgia (33.9 percent), and Idaho (33.7 percent). Of the five states where more than a third of children have an affected parent, all but Idaho had child poverty rates of 25 percent or more in 2011 (Annie E. Casey Foundation 2012), highlighting the importance of boosting their family incomes by raising the minimum wage.
In short, a minimum-wage increase would boost the wages of a diverse multitude of American workers—and would thus have widespread economic benefits. The following section details the magnitude of these economic effects.
Raising the minimum wage as a tool for economic growth
The immediate benefits of a minimum-wage increase are in the boosted earnings of the lowest-paid workers, but its positive effects would far exceed this extra income. Recent research reveals that, despite skeptics’ claims, raising the minimum wage does not cause job loss.4 In fact, throughout the nation, minimum-wage increases would create jobs. Like unemployment insurance benefits or tax breaks for low- and middle-income workers, raising the minimum wage puts more money in the pockets of working families when they need it most, thereby augmenting their spending power. Economists generally recognize that low-wage workers are more likely than any other income group to spend any extra earnings immediately on previously unaffordable basic needs or services.
Increasing the federal minimum wage to $9.80 by July 1, 2014, would give an additional $39.7 billion over the phase-in period to directly and indirectly affected workers,5 who would, in turn, spend those extra earnings. Indirectly affected workers—those earning close to, but still above, the proposed new minimum wage—would likely receive a boost in earnings due to the “spillover” effect (Shierholz 2009), giving them more to spend on necessities.
This projected rise in consumer spending is critical to any recovery, especially when weak consumer demand is one of the most significant factors holding back new hiring (Izzo 2011).6 Though the stimulus from a minimum-wage increase is smaller than the boost created by, for example, unemployment insurance benefits, it is still substantial—and has the crucial advantage of not imposing significant costs on government.
Assessing the economic benefits of a minimum-wage increase
Showing that raising the minimum wage would be a tool for modest job creation requires an examination of the stimulative effects of minimum-wage increases. Because minimum-wage increases come from employers, we must construct a “minimum-wage increase multiplier” that takes into account the increase in compensation to low-wage workers and the decrease in corporate profits that both occur as a result of minimum-wage increases. Raising the minimum wage means shifting profits from an entity (the employer) that is much less likely to spend immediately to one (the low-wage worker) that is more likely to spend immediately. Thus, increasing the minimum wage stimulates demand for goods and services, leading employers in the broader economy to bring on new staff to keep up with this increased demand.
When economists analyze the net economic stimulus effect of policy proposals (e.g., tax rate changes that boost income for some and reduce it for others), they use a set of widely accepted fiscal multipliers to calculate the total increase in economic activity due to a particular increase in spending. In applying these multipliers, economists generally recognize a direct relationship between increased economic activity and job creation. This analysis assumes that a $115,000 increase in economic activity results in the creation of one new full-time-equivalent job in the current economy.7
Using these same standard fiscal multipliers to analyze the jobs impact of an increase in compensation of low-wage workers and decrease in corporate profits that result from a minimum-wage increase, we find that increasing the national minimum wage from $7.25 to $9.80 per hour by July 1, 2014, would result in a net increase in economic activity of approximately $25 billion over the phase-in period and over that period would generate approximately 100,000 new jobs (see Appendix for methodological details).8 In fact, the hike in the federal minimum wage would create jobs in every state, as seen in Appendix Table 1. (Detailed state-level breakdowns of the demographics of workers who would be affected by the increase—and the degree to which the wages of various types of workers would rise—are available at http://www.epi.org/files/2012/minimumwagestateimpact.pdf.) Though the resulting employment impact is modest in the context of the millions of workers currently unemployed nationwide, creating tens of thousands of jobs would be a step in the right direction and would boost the economy.
The benefits of a minimum-wage increase in an economic downturn
Examining the positive effects of a minimum-wage increase leads to an overarching discussion of the economic case for increasing the earnings of the lowest-paid workers during an economic downturn. In the current economic climate, nearly everything is pushing against wage growth. With 3.4 unemployed workers for each job opening (Gould 2012), employers do not have to offer substantial wages to hire the workers they need, nor do they have to pay substantial wage increases to retain workers. Indeed, between 2009 (when the last minimum-wage increase took place) and 2011 (the most recent year for which data are available), nearly every state experienced wage erosion at the 20th percentile (according to an analysis of Current Population Survey data).
Even conservative economists suggest higher wages might help speed the recovery. American Enterprise Institute scholar Desmond Lachman, a former managing director at Salomon Smith Barney, told The New York Times, “Corporations are taking huge advantage of the slack in the labor market—they are in a very strong position and workers are in a very weak position. They are using that bargaining power to cut benefits and wages, and to shorten hours.” According to Lachman, that strategy “very much jeopardizes our chances of experiencing a real recovery” (Powell 2011).
Furthermore, the national unemployment rate currently stands at 8.3 percent and is not expected to return to pre-recession levels for several years. Considering the past year’s sluggish job growth rate, a minimum-wage increase that creates about 100,000 new jobs would help strengthen the recovery.
Conclusion
The multiple positive effects that would result from a higher minimum wage are clear: It would boost the earnings of working families hardest hit by the Great Recession, spur economic growth, and create about 100,000 net new jobs. In an economic climate in which wage increases for the most vulnerable workers are scarce, raising the minimum wage to $9.80 by July 1, 2014, is an opportunity that America’s working families cannot afford to lose.
Appendix: Methodology
An analysis of the stimulative impact of raising the minimum wage draws on the macroeconomic multipliers calculated by Moody’s Analytics Chief Economist Mark Zandi (2011), which estimate the one-year dollar change in gross domestic product (GDP) for a given dollar reduction in federal tax revenue or increase in spending. Averaging the stimulus multipliers of the Earned Income Tax Credit (within the parameters of the American Recovery and Reinvestment Act, or ARRA) and Making Work Pay (ARRA’s refundable tax credit for working individuals and families) gives a reasonable fiscal stimulus multiplier for the spending increase due to the increase in compensation of low-wage workers. This value is 1.2, which means that a $1 increase in compensation to low-wage workers leads to a $1.20 increase in economic activity.
The calculation of the stimulative impact of the minimum wage, however, must also account for the offsetting shift from employers. We assume employers pass on some of the minimum-wage increase (somewhere between 20 percent and 50 percent) to consumers through increased prices. Thus, we calculate the offsetting multiplier effects as a weighted average of Zandi’s across-the-board tax cut (1.04, as a proxy for increased prices) and a cut in the corporate tax rate (0.32).
The minimum-wage (MW) multiplier is between:
1.2 MW consumer spending increase multiplier – [0.32 corporate tax rate cut*(1-0.5 price pass-through) + (1.04 across-the-board tax cut*0.5 price pass-through)] = 0.53
(representing the case where 50 percent of the minimum-wage increase is passed through to prices)
and
1.2 MW consumer spending increase multiplier – [0.32 corporate tax rate cut*(1-0.2 price pass-through) + (1.04 across-the-board tax cut*0.2 price pass-through] = 0.74
(representing the case where 20 percent of the minimum-wage increase is passed through to prices).
Taking into account the fiscal stimulus multiplier range of the minimum-wage increase (0.53 to 0.74) and the increased wages (“wage bill increase”) of directly affected workers, we can calculate the GDP impact of the proposal to increase the minimum wage to $9.80.
The GDP impact is between:
$39,677,170,000 total wage bill increase*0.53 minimum-wage multiplier (low) = $21,028,900,100 GDP impact (low)
and
$39,677,170,000 total wage bill increase*0.74 minimum-wage multiplier (high) = $29,361,105,800 GDP impact (high).
We use the general rule that it takes a GDP increase of $115,000 to create one full-time-equivalent (FTE) job. Then, calculating the impact of an increase in the federal minimum wage to $9.80 across three years, the number of FTE jobs created is between:
$21,028,900,100 GDP impact (low)/$115,000 GDP increase per FTE job = 182,860 FTE job years
and
$29,361,105,800 GDP impact (high)/$115,000 GDP increase per FTE job = 255,314 FTE job years.
Thus, we would say that approximately 220,000 FTE job years would be created.
Full-time-equivalent job measurements take into account both the increase in the number of payroll jobs and the increase in work hours for those who already had jobs by calculating the equivalent number of 40-hours-per-week jobs that would be created by the GDP boost. The figures above describe the job creation impact of the total increase in wages resulting from all three stages of the proposed increase in the minimum wage. Appendix Table 2 shows the job years supported by each stage of the proposed increase.
As shown in the table, an increase in the federal minimum wage to $9.80 on July 1, 2014, would—in the year following its full implementation—result in 103,000 jobs (72,000 of which would be retained from year two, with the remainder created in year three). Over the course of the three yearly incremental increases, a conservative estimate of the total job years that would be created is approximately 218,000.
Endnotes
1. In each of these bills, the first incremental increase would take place three months after enactment of the bill. The calculations in this paper assume the first incremental increase occurring on July 1, 2012.
2. The phase-in period modeled for this report would commence upon enactment of the initial minimum-wage increase (assumed in this study to be July 1, 2012) and run through June 30, 2015, though there is no way to precisely allocate the distribution of the GDP impact and related job creation following each incremental increase in the minimum wage.
3. These data, and the data presented throughout this issue brief, include directly affected workers (those who would see their wages rise because the new minimum wage would exceed their current hourly pay) and indirectly affected workers (those who would receive a raise as employer pay scales are adjusted upward to reflect the higher minimum wage).
4. See the recent EPI paper The benefits of raising Illinois’ minimum wage: An increase would help working families and the state economy (Hall and Gable 2012) for a description of the definitive studies on minimum-wage increases and the absence of disemployment effects.
5. The increased wages are the annual amount of increased wages for directly and indirectly affected workers, assuming they work 52 weeks per year.
6. In a recent poll of 53 economists by The Wall Street Journal, the majority (65 percent) cited a lack of demand as the main reason for a lack of new hiring by employers (Izzo 2011).
7. In a paper on the methodology used to estimate the jobs impact of various policy changes, the Economic Policy Institute’s Josh Bivens found that $115,000 in additional economic activity results in the creation of one new full-time-equivalent job (Bivens 2011).
8. Jobs created as a result of increased GDP are measured in job years. (One full-time job held for one year is one job year. Two full-year part-time jobs equaling a total of 40 hours a week, 52 weeks a year equal one job year. Two half-year full-time jobs equal one job year.) In each subsequent year of minimum-wage increase, there would be a net increase in the number of jobs created. In the first year, approximately 43,000 jobs would be created. In the second year, new jobs would be created and the jobs created in year one would be sustained, totaling approximately 72,000. In the third year, new jobs would be created and the jobs from years one and two would be sustained, totaling about 103,000 full-time-equivalent jobs. This number is the best approximation of how many net new jobs would result from the economic impact of increasing the minimum wage to $9.80. The sum of jobs that would be created in years one, two, and three brings a multi-year total of 218,000 job years.
References
Annie E. Casey Foundation. 2012. 2012 KIDS COUNT Data Book: State Trends in Child Well-Being. Baltimore: Annie E. Casey Foundation.
Bivens, L. Josh. 2011. Method Memo on Estimating the Jobs Impact of Various Policy Changes. Economic Policy Institute. http://www.epi.org/publication/methodology-estimating-jobs-impact/
Current Population Survey Annual Social and Economic Supplement. Historical Income Tables, “Table F-7 — Type of Family, All Races by Median and Mean Income: 1947 to 2010” [Excel file]. Various years. http://www.census.gov/hhes/www/income/data/historical/families/
Current Population Survey Outgoing Rotation Group microdata. Various years. Survey conducted by the Bureau of the Census for the Bureau of Labor Statistics [machine-readable microdata file]. Washington, D.C.: U.S. Census Bureau. http://www.bls.census.gov/cps_ftp.html#cpsbasic
Gould, Elise. 2012. “Job Seekers’ Odds Improve but Remain Slim.” Economic Policy Institute JOLTS report, August 7. http://www.epi.org/publication/job-seekers-odds-improve-remain-slim/
Hall, Doug, and Mary Gable. 2012. The Benefits of Raising Illinois’ Minimum Wage: An Increase Would Help Working Families and the State Economy. Economic Policy Institute, Issue Brief #321. http://www.epi.org/publication/ib321-illinois-minimum-wage/
Izzo, Phil. 2011. “Dearth of Demand Seen behind Weak Hiring.” The Wall Street Journal, July 18. http://online.wsj.com/article/SB10001424052702303661904576452181063763332.html
Mishel, Lawrence, and Natalie Sabadish. 2012. CEO Pay and the Top 1%: How Executive Compensation and Financial-sector Pay Have Fueled Income Inequality. Economic Policy Institute, Issue Brief #331. http://www.epi.org/publication/ib331-ceo-pay-top-1-percent/
Powell, Michael. 2011. “Corporate Profits Are Booming. Why Aren’t the Jobs?” The New York Times, January 8. http://www.nytimes.com/2011/01/09/weekinreview/09powell.html
Shierholz, Heidi. 2009. Fix It and Forget It: Index the Minimum Wage to Growth in Average Wages. Economic Policy Institute, Briefing Paper #251. http://www.epi.org/publication/bp251/
Zandi, Mark. 2011. “At Last, the U.S. Begins a Serious Fiscal Debate.” Dismal Scientist (Moody’s Analytics’ subscription-based website), April 14. http://www.economy.com/dismal/article_free.asp?cid=198972&tid=F0851CC1-F571-48DE-A136-B2F622EF6FA4
Estimated effects of proposed federal minimum-wage increase, fully phased-in, by state
State | Total estimated workers1 | Directly affected2 | Indirectly affected3 | Total affected | Increased wages for directly and indirectly affected4 | GDP impact5 | Jobs impact: full-time employment6 |
---|---|---|---|---|---|---|---|
United States | 127,361,000 | 19,485,000 | 8,869,000 | 28,354,000 | $39,677,170,000 | $25,115,649,000 | 103,000 |
Alabama | 1,814,000 | 329,000 | 163,000 | 492,000 | 741,320,000 | 469,255,000 | 1,800 |
Alaska | 310,000 | 30,000 | 17,000 | 47,000 | 65,320,000 | 41,348,000 | 200 |
Arizona | 2,539,000 | 387,000 | 188,000 | 575,000 | 749,860,000 | 474,661,000 | 1,800 |
Arkansas | 1,135,000 | 235,000 | 106,000 | 341,000 | 581,256,000 | 367,935,000 | 1,500 |
California | 14,154,000 | 2,101,000 | 1,043,000 | 3,143,000 | 3,835,584,000 | 2,427,925,000 | 11,300 |
Colorado | 2,220,000 | 305,000 | 115,000 | 420,000 | 614,186,000 | 388,780,000 | 1,700 |
Connecticut | 1,564,000 | 153,000 | 79,000 | 232,000 | 227,773,000 | 144,180,000 | 700 |
Delaware | 377,000 | 49,000 | 29,000 | 78,000 | 93,422,000 | 59,136,000 | 200 |
District of Columbia | 286,000 | 20,000 | 11,000 | 31,000 | 44,420,000 | 28,118,000 | 100 |
Florida | 7,403,000 | 1,006,000 | 511,000 | 1,517,000 | 2,213,016,000 | 1,400,839,000 | 5,600 |
Georgia | 3,948,000 | 665,000 | 310,000 | 975,000 | 1,435,400,000 | 908,608,000 | 3,500 |
Hawaii | 534,000 | 72,000 | 35,000 | 107,000 | 158,410,000 | 100,274,000 | 400 |
Idaho | 603,000 | 122,000 | 50,000 | 172,000 | 283,467,000 | 179,435,000 | 800 |
Illinois | 5,506,000 | 830,000 | 408,000 | 1,238,000 | 1,384,249,000 | 876,230,000 | 4,500 |
Indiana | 2,732,000 | 436,000 | 196,000 | 632,000 | 901,528,000 | 570,668,000 | 2,100 |
Iowa | 1,412,000 | 225,000 | 107,000 | 332,000 | 419,100,000 | 265,291,000 | 1,000 |
Kansas | 1,289,000 | 215,000 | 79,000 | 294,000 | 442,106,000 | 279,853,000 | 1,100 |
Kentucky | 1,707,000 | 296,000 | 135,000 | 431,000 | 606,246,000 | 383,753,000 | 1,400 |
Louisiana | 1,744,000 | 307,000 | 145,000 | 451,000 | 691,678,000 | 437,832,000 | 1,700 |
Maine | 565,000 | 76,000 | 41,000 | 117,000 | 131,752,000 | 83,399,000 | 400 |
Maryland | 2,594,000 | 278,000 | 153,000 | 431,000 | 595,142,000 | 376,725,000 | 1,500 |
Massachusetts | 2,935,000 | 318,000 | 145,000 | 463,000 | 544,842,000 | 344,885,000 | 1,700 |
Michigan | 3,911,000 | 684,000 | 280,000 | 964,000 | 1,441,669,000 | 912,576,000 | 3,700 |
Minnesota | 2,495,000 | 315,000 | 149,000 | 464,000 | 601,748,000 | 380,906,000 | 1,600 |
Mississippi | 1,099,000 | 232,000 | 84,000 | 316,000 | 570,414,000 | 361,072,000 | 1,300 |
Missouri | 2,582,000 | 420,000 | 170,000 | 590,000 | 868,093,000 | 549,503,000 | 2,100 |
Montana | 383,000 | 61,000 | 33,000 | 94,000 | 130,685,000 | 82,724,000 | 300 |
Nebraska | 843,000 | 132,000 | 57,000 | 189,000 | 243,729,000 | 154,280,000 | 600 |
Nevada | 1,069,000 | 161,000 | 82,000 | 243,000 | 279,947,000 | 177,206,000 | 800 |
New Hampshire | 628,000 | 69,000 | 40,000 | 109,000 | 125,902,000 | 79,696,000 | 300 |
New Jersey | 3,884,000 | 486,000 | 229,000 | 715,000 | 953,031,000 | 603,269,000 | 2,300 |
New Mexico | 737,000 | 99,000 | 41,000 | 140,000 | 197,557,000 | 125,054,000 | 500 |
New York | 8,054,000 | 977,000 | 509,000 | 1,486,000 | 1,984,433,000 | 1,256,146,000 | 4,700 |
North Carolina | 3,657,000 | 646,000 | 269,000 | 915,000 | 1,339,022,000 | 847,601,000 | 3,400 |
North Dakota | 323,000 | 47,000 | 22,000 | 69,000 | 94,870,000 | 60,052,000 | 200 |
Ohio | 4,899,000 | 914,000 | 313,000 | 1,227,000 | 1,860,895,000 | 1,177,947,000 | 4,700 |
Oklahoma | 1,483,000 | 258,000 | 114,000 | 372,000 | 572,160,000 | 362,177,000 | 1,400 |
Oregon | 1,601,000 | 221,000 | 112,000 | 333,000 | 311,175,000 | 196,974,000 | 1,700 |
Pennsylvania | 5,447,000 | 809,000 | 333,000 | 1,142,000 | 1,589,574,000 | 1,006,200,000 | 3,900 |
Rhode Island | 462,000 | 66,000 | 29,000 | 95,000 | 119,861,000 | 75,872,000 | 300 |
South Carolina | 1,758,000 | 314,000 | 154,000 | 468,000 | 685,264,000 | 433,772,000 | 1,700 |
South Dakota | 366,000 | 61,000 | 30,000 | 92,000 | 119,148,000 | 75,421,000 | 300 |
Tennessee | 2,544,000 | 454,000 | 222,000 | 677,000 | 970,623,000 | 614,404,000 | 2,400 |
Texas | 10,395,000 | 2,030,000 | 770,000 | 2,801,000 | 4,880,567,000 | 3,089,399,000 | 11,500 |
Utah | 1,163,000 | 188,000 | 93,000 | 281,000 | 412,094,000 | 260,855,000 | 1,000 |
Vermont | 296,000 | 32,000 | 24,000 | 56,000 | 52,815,000 | 33,432,000 | 200 |
Virginia | 3,616,000 | 512,000 | 239,000 | 751,000 | 1,100,846,000 | 696,835,000 | 2,700 |
Washington | 2,780,000 | 256,000 | 171,000 | 427,000 | 308,647,000 | 195,374,000 | 1,700 |
West Virginia | 684,000 | 141,000 | 41,000 | 182,000 | 316,897,000 | 200,595,000 | 800 |
Wisconsin | 2,576,000 | 409,000 | 176,000 | 585,000 | 718,462,000 | 454,786,000 | 1,800 |
Wyoming | 255,000 | 33,000 | 16,000 | 50,000 | 66,969,000 | 42,391,000 | 200 |
1. Total estimated workers is estimated from the CPS respondents for whom either a valid hourly wage is reported or one can be imputed from weekly earnings and average weekly hours. Consequently, this estimate tends to understate the size of the full state workforce.
2. Directly affected workers will see their wages rise, as the new minimum-wage rate will exceed their current hourly pay.
3. Indirectly affected workers currently have a wage rate just above the new minimum wage (between the new minimum wage, and the new minimum wage plus the dollar amount of the increase in the 2012 minimum wage). They will receive a raise as employer pay scales are adjusted upward to reflect the new minimum wage.
4. Increased wages: total amount of increased wages for directly and indirectly affected workers, assuming they work 52 weeks a year
5. GDP impact figures utilize a national model to estimate the GDP impact of workers' increased earnings. Thus, the total state stimulus may be lower than this amount because workers in each state will not necessarily spend all of their increased earnings in-state. However, we can assume that most of the increased earnings will be spent in-state, and thus most of the jobs created will be in-state. Figures are three-year totals.
6. The increased economic activity from these additional wages adds not just jobs but also hours for people who already have jobs (work hours for people with jobs also dropped in the downturn). Full-time employment takes that into account by essentially taking the number of total hours added (including both hours from new jobs and more hours for people who already have jobs) and dividing by 40, to get full-time-equivalent jobs added. Jobs numbers are job years following the third-year increase. Figures assume full-time employment requires $115,000 in additional GDP.
Notes: Figures may not sum to total due to rounding. Job impact estimation methods can be found in Hall and Gable (2012) and Bivens (2011).
Source: Authors' analysis of Harkin/Miller proposal using Current Population Survey Outgoing Rotation Group microdata
Effects of proposed federal minimum-wage increase, 2012–2015
Size of increase | Total estimated workers1 | Directly affected2 | Indirectly affected3 | Total affected | Total affected as % of workers | Increased wages for directly and indirectly affected4 | Average individual increase in annual income | GDP impact5 | Jobs impact: full-time employment6 | Three-year total: job years | |
---|---|---|---|---|---|---|---|---|---|---|---|
Three-stage increase to $9.80/hour, modeled for July 2012, July 2013, July 2014 | |||||||||||
2012: $8.10 | $0.85 | 124,925,000 | 9,445,000 | 3,244,000 | 12,689,000 | 10.2% | $7,879,829,000 | $620 | $4,987,932,000 | 43,000 | |
2013: $8.95 | $0.85 | 126,137,000 | 13,902,000 | 6,291,000 | 20,193,000 | 16.0% | $13,080,697,000 | $650 | $8,280,081,000 | 72,000 | |
2014: $9.80 | $0.85 | 127,361,000 | 19,485,000 | 8,869,000 | 28,354,000 | 22.3% | $18,716,644,000 | $660 | $11,847,636,000 | 103,000 | |
Multi-year total: | 28,354,000 | $39,677,170,000 | $25,115,649,000 | 218,000 |
1. Total estimated workers is estimated from the CPS respondents for whom either a valid hourly wage is reported or one can be imputed from weekly earnings and average weekly hours. Consequently, this estimate tends to understate the size of the full workforce.
2. Directly affected workers will see their wages rise, as the new minimum-wage rate will exceed their current hourly pay.
3. Indirectly affected workers currently have a wage rate just above the new minimum wage (between the new minimum wage, and the new minimum wage plus the dollar amount of the increase in the 2012 minimum wage). They will receive a raise as employer pay scales are adjusted upward to reflect the new minimum wage.
4. Increased wages: annual amount of increased wages for directly and indirectly affected workers, assuming they work 52 weeks a year
5. GDP and job impact figures estimate the GDP impact of workers' increased earnings after controlling for the reduction in corporate profits.
6. The increased economic activity from these additional wages adds not just jobs but also hours for people who already have jobs (work hours for people with jobs also dropped in the downturn). Full-time employment takes that into account by essentially taking the number of total hours added (including both hours from new jobs and more hours for people who already have jobs) and dividing by 40, to get full-time-equivalent jobs added. Jobs numbers assume full-time employment requires $115,000 in additional GDP. Jobs impact total is in job years.
Notes: Annual population growth: 0.79% (U.S. projected average annual rate from 2000 to 2020, according to Census). Wage growth: 1.19% in year one (2011 average of bottom 20th-percentile wage in the United States), 2.80% in years two and three (five-year average from 2002 to 2006, using CPS-ORG). Job impact estimation methods can be found in Hall and Gable (2012) and Bivens (2011).
Source: Authors' analysis of Harkin/Miller proposal using Current Population Survey Outgoing Rotation Group microdata