The Wage Penalty for State and Local Government Employees



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The Wage Penalty for State and Local Government Employees John Schmitt May 2010 Center for Economic and Policy Research 1611 Connecticut Avenue, NW, Suite 400 Washington, D.C. 20009 202-293-5380 www.cepr.net

CEPR The Wage Penalty for State and Local Government Employees i Contents Executive Summary...1 Introduction...2 The State & Local Government Workforce...2 Pay Differences for State & Local Workers...5 Conclusion...10 Appendix...11 References...18 About the Author John Schmitt is a Senior Economist at the Center for Economic and Policy Research in Washington, DC. Acknowledgements CEPR thanks the Public Welfare Foundation, the Arca Foundation, and the Ford Foundation for generous financial support. The author thanks Dean Baker for helpful comments.

CEPR The Wage Penalty for State and Local Government Employees 1 Executive Summary As recent reports in the media have emphasized, on average, state and local government employees appear to earn more than private-sector workers. But, on average, state and local workers are also older and substantially better educated than privatesector workers. Half of state and local employees have a four-year college degree or more, and almost one-fourth have an advanced degree. Less than 30 percent of private-sector workers have a four-year college degree, and less than 10 percent have an advanced degree. The typical state and local worker is also about four years older than the typical private-sector worker. Sixty percent of state and local government employees are women, compared to 46 percent of employees in the private sector. When state and local government employees are compared to private-sector workers with similar characteristics particularly when workers are matched by age and education state and local workers actually earn 4 percent less, on average, than their private-sector counterparts. For women workers, the public-sector penalty is about 2 percent of earnings; for men, it is about 6 percent of earnings. The wage penalty for working in the state-and-local sector is particularly large for higher-wage workers. While low-wage workers receive a small wage premium in state-and-local jobs (about 6 percent for a typical low-wage worker), the typical middle-wage worker earns about 4 percent less in state-and-local work, and the typical high-wage worker makes about 11 percent less than a similar private-sector worker.

CEPR The Wage Penalty for State and Local Government Employees 2 Introduction State and local government budgets are under severe strain. 1 Rather than blame the recession, which has simultaneously slashed tax revenues and increased the demand for social services, 2 some conservatives have argued that excessive pay for public employees is the real cause of the financial woes. 3 Several recent reports in the media have reinforced this view by emphasizing that, on average, government employees earn more than workers in the private sector. 4 The problem with these analyses is that state and local government workers have much higher levels of formal education and are older (and therefore generally more experienced) than workers in the private sector. When state and local government workers are matched with private-sector workers of the same age and the same level of education, the public employees actually earn less than their private-sector counterparts. The pay penalty for public-sector workers is particularly large for the most educated and most experienced workers. The State & Local Government Workforce According to nationally representative data from the Census Bureau s Current Population Survey (CPS), in 2009, the 51 U.S. state governments (including the District of Columbia) together employed about 6.0 million workers. 5 Within those states, local governments employed an additional 10.7 million workers (see Table 1; also see the appendix for state-level data on characteristics of state and local government employees). 6 The state and local government workforce differs from the private-sector workforce in three important ways. First, as a group, state and local public employees are substantially better educated than workers in the private sector. As Figure 1 demonstrates, in 2009, over half (50.9 percent) of all state-and-local workers had a four-year college degree or more; almost one-fourth (23.5 percent) had an advanced degree. By contrast, only 29.8 percent of private-sector workers had a four-year college degree or more, and just 8.9 percent had an advanced degree. One reason for the high level of education in the public sector is the strong concentration of educational occupations in state and local government employment (see Table 2 for a list of the ten largest occupations in state and local governments). 1 See Lav and McNichol (2010) for a review of the squeeze on state budgets. 2 See Baker and Deutsch (2009). 3 See, for example, Unshackle Upstate (2009) and Greenhut (2010). 4 See, for example, Dennis Cauchon, Federal Pay Ahead of Private Industry, USA Today, March 8, 2010 (which has generated almost 2,000 comments) at http://www.usatoday.com/news/nation/2010-03-04-federal-pay_n.htm; and the front page story by David Sherfinski, Growth in government-worker pay outpaces private sector, data show, The Washington Examiner, March 30, 2010. 5 All analysis uses the CEPR extract (version 1.5) of the Current Population Survey. The data and full details on the extract are available at http://www.ceprdata.org/. 6 By comparison, the total number of employees in the private sector (excluding the self-employed) in 2009 was about 103.2 million.

CEPR The Wage Penalty for State and Local Government Employees 3 Second, state and local employees are also consistently older than private-sector workers. In 2009, the typical (median) private-sector worker was 40 years old, compared to 43 for the typical state employee and 44 for the typical local government employee (see Table 1). Finally, 60 percent of state and local government workers are women, compared to less than half (46 percent) of private-sector workers (see Table 1). Since better-educated and older workers generally earn more than less-educated and younger workers, comparisons of pay for workers in state and local government with pay for workers in the private sector should take these systematic differences into consideration. Similarly, given the large differences in the share of women in the two sectors, evaluations of pay across the two sectors should either explicitly control for gender or else analyze men and women s pay separately. TABLE 1 Characteristics of State and Local Employees, Age 18-64, 2009 Private State Local State & local Number (millions) 103.2 6.0 10.7 16.7 Education (%) Less than high school 8.5 1.9 2.8 2.5 High school 31.1 17.9 21.1 19.9 Some college 30.6 27.1 26.5 26.7 College degree 20.9 27.5 27.4 27.4 Advanced 8.9 25.6 22.3 23.5 Age (%) 18-24 13.8 9.5 5.7 7.1 25-34 23.9 21.1 19.9 20.4 35-44 23.8 22.2 25.3 24.2 45-54 24.2 27.8 28.3 28.1 55-64 14.3 19.3 20.8 20.3 Median age (years) 40 43 44 44 Women (%) 46.2 59.1 60.8 60.2 Notes: Analysis of CEPR extract (version 1.5) of CPS ORG. Federal employees not included.

CEPR The Wage Penalty for State and Local Government Employees 4 FIGURE 1 Education Level, Private Sector versus State & Local Public Employees, 2009 40 Private State & local 31.1 30.6 Percent of Employees 30 20 19.9 26.7 20.9 27.4 23.5 10 8.5 8.9 2.5 0 Less than High School High School Some College College Advanced TABLE 2 Ten Largest Occupations, State and Local Public Employees, 2009 Rank Occupation Share of total (%) State public employees 1 Postsecondary teachers 9.3 2 Elementary, secondary teachers 7.3 3 Bailiffs, correctional officers, jailers 4.1 4 Secretaries, administrative assistants 3.9 5 Secondary school teachers 2.9 6 Education administrators 2.7 7 Social workers 2.5 8 Teacher assistants 2.4 9 Janitors, building cleaners 2.2 10 Counselors 2.1 Total 39.3 Local public employees 1 Elementary, secondary teachers 16.5 2 Secondary school teachers 7.3 3 Teacher assistants 5.2 4 Police & sheriff's patrol officers 5.1 5 Janitors, building cleaners 3.2 6 Secretaries, administrative assistants 3.2 7 Bus drivers 2.4 8 Fire fighters 2.4 9 Special education teachers 2.3 10 Education administrators 2.1 Total 49.6 Notes: Analysis of CEPR extract (version 1.5) of CPS ORG.

CEPR The Wage Penalty for State and Local Government Employees 5 Pay Differences for State & Local Workers Table 3 summarizes the results from an analysis of state and local public employee pay that takes education, age, gender, and other factors into consideration. For all workers and for women and men separately, state and local government workers initially appear to have a large earnings premium relative to private-sector workers, but in all cases the wage premium turns into a wage penalty for government work once we control for workers age and education. TABLE 3 State and Local Employee Wage Differentials, 2009 (percent differences; standard errors in parentheses) (1) (2) (3) (4) (a) All State & local 12.8** -- -6.4** -3.7** (0.4) (0.4) (0.3) State -- 13.2** -- -- (0.6) Local -- 12.6** -- -- (0.5) (b) Women State & local 19.2** -- -2.1** -1.9** (0.5) (0.4) (0.4) State -- 19.3** -- -- (0.7) Local -- 19.1** -- -- (0.6) (c) Men State & local 11.2** -- -6.1** -6.0** (0.6) (0.5) (0.5) State -- 11.4** -- -- (1.0) Local -- 11.1** -- -- (0.7) Controls Age No No Yes Yes Education No No Yes Yes Gender No No No Yes Race No No No Yes Region No No No Yes Notes: Analysis of CEPR extract (version 1.5) of CPS ORG. The dependent variable is the log of hourly wages; ordinary least squares regressions fit separately for all, women, and men. Robust standard errors in parentheses; ** indicates statistically significantly different from zero at the one percent level; *, at the 5 percent level; #, at the 10 percent level. Before taking any of the systematic differences between public- and private-sector workers into account, the data suggest that in 2009 state and local workers on average earned almost 13 percent more than workers in the private sector (see the first column of panel (a)), which is consistent with media reports that find higher public-sector wages. This public-sector wage premium was about the same for state (13.2 percent) and local (12.6 percent) public employees (see the second column of

CEPR The Wage Penalty for State and Local Government Employees 6 panel (a)). Once we control for workers education and age, however, the state and local public employee wage premium becomes a 6 percent wage penalty (the third column of panel (a)). 7 Even after adding a further set of controls for gender, race, and region of residence, state and local workers received almost 4 percent less than workers with the same education and age levels in the private sector (the final column of panel (a)). 8 Similar results hold when we look separately at women and men. The initial public-sector wage advantage for women (panel (b)) is about 19 percent (column (1)). After controlling for education and age, however, the average wage in the public sector is about 2 percent less than in the private sector (columns (3) and (4)). For men (panel (c)), the uncontrolled public-sector wage difference falls from 11 percent initially, to minus 6 percent after controlling for workers characteristics. 9 The analysis so far, both here and in earlier media reports, has focused entirely on the average worker in the state-and-local and private sectors. (Figures 2A, 2B, and 2C summarize these findings.) The effects of public-sector employment on earnings, however, may be different for workers at the bottom, middle, and top of the wage distribution. Using quantile regression techniques, we can analyze the effect of being a state and local government employee on the earnings of a worker across the wage distribution. 10 Table 4 presents results of an analysis of the effects of state and local government employment on wages for workers at nine equally spaced points of the wage distribution, from low-wage workers at the 10th percentile (who make more than 10 percent of all workers, but less than 90 percent of all workers) through the median worker (50th percentile) to high-wage workers in the 90th percentile. 7 The education and age controls are dummy variables based on the categories in Table 1. 8 Excluding firefighters, police, and prison guards from the analysis in column (4) increases the public-sector penalty to -4.6 percent (standard error, 0.4) for all workers, -2.2 percent (standard error, 0.4) for women, and -8.0 percent (standard error, 0.6) for men. 9 These results are consistent with earlier, academic and policy research on public-sector pay. See, for example, Krueger (1988), Belman and Heywood (1993), Miller (1996), and Borjas (2002). 10 A standard ordinary least squares regression, such as those in Table 3, estimates the effects of independent variables at the mean of the dependent variable. Quantile regressions use analogous techniques to estimate the effects of independent variables at specified quantiles of the dependent variable, such as the 10th, 20th, 50th, or 90th percentile of the dependent variable. For a discussion of quantile regression, see, among many others, Johnston and DiNardo (1997). For a recent analysis of the effects of unionization on workers at different points in the wage distribution, see Schmitt (2008).

CEPR The Wage Penalty for State and Local Government Employees 7 FIGURE 2A State & Local Public Employees, Average Wage Differential, 2009 20 15 12.9 Percent 10 5 0-5 -3.7-10 No Controls With Controls FIGURE 2B State & Local Public Employees, Average Wage Differential, Women, 2009 20 19.2 15 10 Percent 5 0-5 -1.9-10 No C ontrols With Controls FIGURE 2C State & Local Public Employees, Average Wage Differential, Men, 2009 20 15 10 11.2 Percent 5 0-5 -10 No Controls -6.0 With Controls

CEPR The Wage Penalty for State and Local Government Employees 8 For relatively low-wage workers, working in the state-and-local sector provides a small wage boost relative to working in the private sector. For the lowest-wage workers in Table 4, those at the 10th percentile of the wage distribution, working in a state and local government job raises wages almost 6 percent relative to a comparable worker in the private sector. 11 The public-sector premium falls to 3 percent for workers at the 20th percentile and to only 1 percent for workers at the 30th percentile. From that point on, the premium associated with state-and-local employment becomes a penalty. For workers at the 40th percentile, a state and local job means about a one percent pay cut relative to a comparable private-sector worker; and the penalty increases steadily for higher and higher wage workers: -4 percent at the median (50th percentile), -6 percent at the 60th percentile, -7 percent at the 70th percentile, -9 percent at the 80th percentile, to -11 percent for a high-wage worker in the 90th percentile. A similar pattern holds separately for women (middle two columns of Table 4) and men (last two columns of Table 4). 12 (See also Figures 3A, 3B, and 3C.) TABLE 4 State and Local Employee Wage Differentials, by Wage Quintile, 2009 (percent differences; standard errors in parentheses) All Women Men Hourly Wage Hourly Wage Hourly Wage earnings, differential, earnings, differential, earnings, differential, private public private public private public Percentile and public employees and public employees and public employees 10th $8.25 5.9** $8.00 7.4** $8.75 3.4** (0.3) (0.5) (1.0) 20th 10.00 3.4** 9.50 5.8** 10.91 0.4 (0.4) (0.5) (0.8) 30th 12.00 1.2** 11.00 4.0** 13.00-2.4** (0.4) (0.5) (0.8) 40th 14.05-1.4** 12.85 1.0* 15.45-4.0** (0.4) (0.4) (0.8) 50th 16.52-3.6** 15.00-1.3* 18.46-6.3** (0.4) (0.6) (0.6) 60th 19.23-5.6** 17.31-4.1** 21.63-8.0** (0.5) (0.5) (0.6) 70th 23.08-6.9** 20.25-5.9** 25.64-9.0** (0.3) (0.7) (0.7) 80th 28.83-9.1** 25.00-8.4** 31.57-10.5** (0.5) (0.8) (0.9) 90th 38.45-11.3** 33.33-10.8** 42.31-12.0** (0.6) (0.8) (1.1) Notes: Analysis of CEPR extract (version 1.5) of CPS ORG. The dependent variable is the log of hourly wages; quantile regressions with bootstrapped standard errors. All regressions include controls for age, education, race, region; regression for all also includes a control for gender. Robust standard errors in parentheses; ** indicates statistically significantly different from zero at the one percent level; *, at the 5 percent level; #, at the 10 percent level. 11 All quantile regressions fit using Stata's sqreg command. 12 These results small state-and-local premiums for lower paying jobs and larger state-and-local penalties for middle and better paying jobs are similar to Miller (1996), who compared jobs, rather than workers, and used different data (from the BLS s now-discontinued Occupational Compensation Survey Program). Miller concluded: The OCSP job-level data show that, contrary to comparisons based on overall averages or broad occupational groups, private industry paid better for virtually all professional and administrative occupational job levels and for the majority of technical and clerical job levels. For blue-collar workers, the situation was mixed (p. 22); and...at the lowest paying jobs, State and local governments often paid the same as or better than private industry. But, as pay rose, the private sector paid increasingly better (pp. 24-5).

CEPR The Wage Penalty for State and Local Government Employees 9 FIGURE 3A State & Local Public Employees, Average Wage Differential, 2009 20 15 Percent 10 5 0-5 -10-15 5.9-3.6-11.3 10th 50th 90th Percentile FIGURE 3B State & Local Public Employees, Average Wage Differential, Women, 2009 20 15 10 7.4 Percent 5 0-5 -10-15 -1.3-10.8 10th 50th 90th Percentile FIGURE 3C State & Local Public Employees, Average Wage Differential, Men, 2009 20 15 Percent 10 5 0-5 -10-15 3.4-6.3-12.0 10th 50th 90th Percentile

CEPR The Wage Penalty for State and Local Government Employees 10 Conclusion On average, state and local government employees earn more than private-sector workers. But, state and local workers are also, on average, older and substantially better educated than private-sector workers. When state and local government employees are compared to private-sector workers with similar characteristics particularly when workers are matched by age and education state and local workers actually earn less, on average, than their private-sector counterparts. The wage penalty for working in the state-and-local sector is particularly large for higher-wage workers.

CEPR The Wage Penalty for State and Local Government Employees 11 Appendix APPENDIX FIGURE 1 State and Local Public Employees, Age 18-64, 2009 DC Vermont South Dakota Delaware North Dakota Wyoming Rhode Island Alaska Montana New Hampshire Maine Hawaii Idaho West Virginia Nevada Nebraska New Mexico Arkansas Utah Mississippi C onnecticut Kansas Iowa Oregon Oklahoma Alabama Kentucky Colorado South Carolina Louisiana Missouri Tennessee Indiana Minnesota Arizona Wisconsin Maryland Massachusetts Washington Virginia Michigan New Jersey Pennsylvania Georgia North Carolina Ohio Illinois Florida Texas New York California 21,632 41,634 44,583 46,561 49,454 52,433 53,185 60,067 60,527 67,383 69,037 70,472 96,225 114,169 126,359 128,025 148,882 151,874 174,277 191,831 201,102 201,660 206,922 208,196 211,235 236,930 243,401 253,250 255,895 264,973 299,643 302,717 303,710 304,228 306,820 334,137 340,062 355,427 411,159 441,281 470,995 493,156 505,550 517,556 540,732 602,005 685,812 944,785 1,285,738 1,296,806 1,946,094 0 500,000 1,000,000 1,500,000 2,000,000 2,500,000

CEPR The Wage Penalty for State and Local Government Employees 12 APPENDIX FIGURE 2 State Public Employees, Age 18-64, 2009 DC Vermont South Dakota Rhode Island Montana New Hampshire North Dakota Wyoming Maine Alaska Idaho Delaware Nevada Nebraska West Virginia Hawaii New Mexico C onnecticut Colorado Oregon Utah Arkansas Tennessee Louisiana Iowa Kansas Arizona Alabama Mississippi Indiana Virginia Wisconsin Minnesota Oklahoma South Carolina Maryland Missouri New Jersey Massachusetts Kentucky Ohio Pennsylvania Michigan Illinois Washington Georgia Florida North Carolina New York Texas California 5,082 18,322 18,894 19,245 19,813 21,565 22,341 22,697 27,549 32,585 34,830 35,168 37,512 49,214 49,605 55,725 68,931 72,227 74,486 77,990 81,746 94,012 94,163 96,858 97,187 97,801 102,111 106,996 107,573 108,018 113,582 114,331 114,909 116,450 120,308 121,422 128,022 128,657 129,121 140,113 160,695 161,367 170,115 182,884 200,526 203,772 263,044 282,260 351,507 472,012 611,456 0 250,000 500,000 750,000 1,000,000 1,250,000 1,500,000

CEPR The Wage Penalty for State and Local Government Employees 13 APPENDIX FIGURE 3 Local Public Employees Age 18-64, 2009 Delaware Hawaii DC Vermont South Dakota North Dakota Alaska Wyoming Rhode Island Montana Maine New Hampshire Arkansas Idaho West Virginia Nebraska New Mexico Mississippi Nevada Utah Oklahoma Kentucky Kansas Iowa C onnecticut Alabama Oregon South Carolina Louisiana Missouri Colorado Minnesota Indiana Arizona Tennessee Washington Maryland Wisconsin Massachusetts North Carolina Michigan Georgia Virginia Pennsylvania New Jersey Ohio Illinois Florida Texas New York California 11,393 14,747 16,550 23,312 25,689 27,113 27,482 29,736 33,940 40,714 41,488 45,818 57,862 61,395 64,564 78,811 79,951 84,258 88,847 92,531 94,785 103,288 103,859 109,735 128,875 129,934 130,206 135,587 168,115 171,621 178,764 189,319 195,692 204,709 208,554 210,633 218,640 219,806 226,306 258,472 300,880 313,784 327,699 344,183 364,499 441,310 502,928 681,741 813,726 945,299 1,334,638 0 250,000 500,000 750,000 1,000,000 1,250,000 1,500,000

CEPR The Wage Penalty for State and Local Government Employees 14 APPENDIX FIGURE 4 State and Local Public Employees as Percent of All Employees, Age 18-64, 2009 DC Pennsylvania New Hampshire Colorado Nevada Indiana Rhode Island Missouri Arizona Michigan Massachusetts Illinois Minnesota Virginia Maine Ohio South Dakota Tennessee Florida Delaware Texas New Jersey Georgia C onnecticut Maryland Wisconsin California Arkansas Alabama Hawaii Oregon Washington Oklahoma North Carolina Vermont Kentucky Utah Iowa Louisiana South Carolina Montana Nebraska New York Idaho Kansas West Virginia North Dakota Mississippi New Mexico Alaska Wyoming 7.9 10.0 11.2 11.2 11.5 11.8 12.1 12.3 12.3 12.5 12.7 12.7 12.8 12.8 12.8 12.9 12.9 13.0 13.0 13.0 13.2 13.2 13.3 13.3 13.5 13.5 13.7 13.8 13.8 13.8 13.8 14.4 14.7 14.8 14.8 14.9 15.3 15.3 15.6 15.6 15.8 16.0 16.3 16.4 16.5 16.7 16.8 18.9 19.9 0 5 10 15 20 25 Percent of All Employees 20.8 22.0

CEPR The Wage Penalty for State and Local Government Employees 15 APPENDIX TABLE 1 State and Local Public Employees, 18-64, 2009 State Local State & Local Alabama 106,996 129,934 236,930 Alaska 32,585 27,482 60,067 Arizona 102,111 204,709 306,820 Arkansas 94,012 57,862 151,874 California 611,456 1,334,638 1,946,094 Colorado 74,486 178,764 253,250 Connecticut 72,227 128,875 201,102 DC 5,082 16,550 21,632 Delaware 35,168 11,393 46,561 Florida 263,044 681,741 944,785 Georgia 203,772 313,784 517,556 Hawaii 55,725 14,747 70,472 Idaho 34,830 61,395 96,225 Illinois 182,884 502,928 685,812 Indiana 108,018 195,692 303,710 Iowa 97,187 109,735 206,922 Kansas 97,801 103,859 201,660 Kentucky 140,113 103,288 243,401 Louisiana 96,858 168,115 264,973 Maine 27,549 41,488 69,037 Maryland 121,422 218,640 340,062 Massachusetts 129,121 226,306 355,427 Michigan 170,115 300,880 470,995 Minnesota 114,909 189,319 304,228 Mississippi 107,573 84,258 191,831 Missouri 128,022 171,621 299,643 Montana 19,813 40,714 60,527 Nebraska 49,214 78,811 128,025 Nevada 37,512 88,847 126,359 New Hampshire 21,565 45,818 67,383 New Jersey 128,657 364,499 493,156 New Mexico 68,931 79,951 148,882 New York 351,507 945,299 1,296,806 North Carolina 282,260 258,472 540,732 North Dakota 22,341 27,113 49,454 Ohio 160,695 441,310 602,005 Oklahoma 116,450 94,785 211,235 Oregon 77,990 130,206 208,196 Pennsylvania 161,367 344,183 505,550 Rhode Island 19,245 33,940 53,185 South Carolina 120,308 135,587 255,895 South Dakota 18,894 25,689 44,583 Tennessee 94,163 208,554 302,717 Texas 472,012 813,726 1,285,738 Utah 81,746 92,531 174,277 Vermont 18,322 23,312 41,634 Virginia 113,582 327,699 441,281 Washington 200,526 210,633 411,159 West Virginia 49,605 64,564 114,169 Wisconsin 114,331 219,806 334,137 Wyoming 22,697 29,736 52,433 USA 6,036,799 10,703,788 16,740,587 Notes: CEPR analysis of Current Population Survey data.

CEPR The Wage Penalty for State and Local Government Employees 16 APPENDIX TABLE 2 State and Local Public Employees, as Percent of All Employees, Age 18-64, 2009 State Local State & Local Alabama 6.2 7.6 13.8 Alaska 11.3 9.5 20.8 Arizona 4.1 8.2 12.3 Arkansas 8.5 5.2 13.8 California 4.3 9.4 13.7 Colorado 3.3 7.9 11.2 Connecticut 4.8 8.5 13.3 DC 1.9 6.1 7.9 Delaware 9.8 3.2 13.0 Florida 3.6 9.4 13.0 Georgia 5.2 8.1 13.3 Hawaii 10.9 2.9 13.8 Idaho 5.9 10.4 16.4 Illinois 3.4 9.3 12.7 Indiana 4.2 7.6 11.8 Iowa 7.2 8.1 15.3 Kansas 8.0 8.5 16.5 Kentucky 8.6 6.3 14.9 Louisiana 5.7 9.9 15.6 Maine 5.1 7.7 12.8 Maryland 4.8 8.7 13.5 Massachusetts 4.6 8.1 12.7 Michigan 4.5 8.0 12.5 Minnesota 4.8 8.0 12.8 Mississippi 10.6 8.3 18.9 Missouri 5.2 7.0 12.3 Montana 5.2 10.6 15.8 Nebraska 6.1 9.8 16.0 Nevada 3.4 8.1 11.5 New Hampshire 3.6 7.6 11.2 New Jersey 3.5 9.8 13.2 New Mexico 9.2 10.7 19.9 New York 4.4 11.9 16.3 North Carolina 7.7 7.1 14.8 North Dakota 7.6 9.2 16.8 Ohio 3.4 9.4 12.9 Oklahoma 8.1 6.6 14.7 Oregon 5.2 8.7 13.8 Pennsylvania 3.2 6.8 10.0 Rhode Island 4.4 7.7 12.1 South Carolina 7.3 8.3 15.6 South Dakota 5.5 7.5 12.9 Tennessee 4.0 8.9 13.0 Texas 4.8 8.3 13.2 Utah 7.2 8.1 15.3 Vermont 6.5 8.3 14.8 Virginia 3.3 9.5 12.8 Washington 7.0 7.4 14.4 West Virginia 7.2 9.4 16.7 Wisconsin 4.6 8.9 13.5 Wyoming 9.5 12.5 22.0 USA 4.9 8.7 13.6 Notes: CEPR analysis of Current Population Survey data.

CEPR The Wage Penalty for State and Local Government Employees 17 APPENDIX TABLE 3 Age and Education Levels, State and Local Public Employees, Age 18-64, 2003-2009 Median age (years) College degree or more (%) Private State and Local Private State and Local Alabama 40 44 23.3 49.1 Alaska 39 44 23.6 45.6 Arizona 40 44 28.2 52.4 Arkansas 37 45 18.7 47.8 California 39 44 31.4 48.5 Colorado 39 43 39.2 61.4 Connecticut 42 45 39.6 56.4 DC 35 41 56.4 56.2 Delaware 39 44 29.3 51.0 Florida 41 44 29.0 48.4 Georgia 40 43 31.7 51.4 Hawaii 39 42 26.9 54.3 Idaho 38 42 23.1 43.0 Illinois 40 43 32.9 54.4 Indiana 41 45 24.0 41.9 Iowa 41 43 24.3 53.4 Kansas 39 44 29.9 53.7 Kentucky 39 41 20.0 50.5 Louisiana 40 41 24.4 47.3 Maine 42 48 29.0 54.7 Maryland 40 43 36.1 55.5 Massachusetts 40 46 45.4 59.5 Michigan 41 44 30.1 51.5 Minnesota 39 45 33.7 58.0 Mississippi 39 42 17.5 50.7 Missouri 40 41 25.7 51.2 Montana 40 44 28.4 48.9 Nebraska 39 45 27.4 50.8 Nevada 39 44 21.2 50.9 New Hampshire 42 47 35.1 52.8 New Jersey 41 45 37.6 59.0 New Mexico 40 43 24.1 46.5 New York 40 45 34.4 49.6 North Carolina 40 44 28.4 54.1 North Dakota 38 46 27.3 53.4 Ohio 41 45 24.6 46.0 Oklahoma 39 43 23.1 50.8 Oregon 39 44 28.7 54.2 Pennsylvania 41 43 31.2 47.4 Rhode Island 40 45 29.6 59.3 South Carolina 40 43 23.9 53.3 South Dakota 40 45 24.4 51.9 Tennessee 39 43 26.6 48.4 Texas 38 43 25.3 47.8 Utah 35 42 25.2 45.6 Vermont 42 47 33.0 52.7 Virginia 39 45 33.8 56.9 Washington 39 47 31.4 48.3 West Virginia 39 45 20.2 50.0 Wisconsin 40 45 27.4 54.9 Wyoming 40 43 16.6 41.9 USA 40 44 29.8 50.9 Notes: CEPR analysis of Current Population Survey data.

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