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Statement of William E. Spriggs, Ph.D., Professor and Chair, Department of Economics, Howard University

Testimony Before the Full Committee
of the House Committee on Ways and Means

January 23, 2007

I wish to thank Committee Chairman, Congressman Charles B. Rangel for the invitation to offer this testimony.  It is an honor and a privilege to offer this evidence.

Since 2001, the U.S. economy has been in a recovery as defined by the National Bureau of Economic Research’s Business Cycle Dating Committee.  Gross Domestic Product, the broad measure of the nation’s economic activity has grown, aggregate consumption has increased and the unemployment rate has fallen.  Those are broad measures to confirm a sense that the economy is in recovery.  However, data from the U.S. Census Bureau shows this recovery has also seen a fall in the inflation adjusted median income for working-age families, poverty rates rise, the share of private-sector workers covered by employer-provided health insurance fall and the share of private-sector workers covered by employer-provided pension plans.  These latter trends, if not corrected soon, will have important implications for fiscal policy.

Wage and income inequality have been on the rise in the United States since the late 1970s.  It appears that the bulk of increase in wage inequality between workers of different education levels took place in the 1980s.  That period was marked with an increase in the premium paid to college-educated workers, relative to the wages of high school-educated workers, and prompted debate among economists that the economy was now experiencing growth that increased rewards to skills; or “skill biased technological change.”  During the 1970’s, men with college education actually suffered a drop in their premium, from about 25 percent higher than their high school-educated counterparts to a low of about 20 percent by the decades end in 1979.  But, in the 1980s, the premium for men grew to reach 35 percent by decade’s end, a significant increase.

But, economists are not in agreement that the skill biased technological change can explain the growth in wage inequality that has taken place since the 1970s.[1]  A major concern, is that the build-up in wage inequality between workers of different education levels took place in the 1980s before the broad introduction of computing, and did not expand greatly in the 1990s when computer use became ubiquitous and productivity increases returned to their long-run trend after a slowdown in the 1970s and 1980s.  What has continued to rise, and what is the larger component of over-all wage inequality, are differences in the earnings of workers who have equal education and experience.  Some economists attempted to reconcile this apparent anomaly by arguing for increases in the returns to unobserved productivity characteristics (like school quality) that were linked to schooling differences.[2]  But, a closer look suggests that using more accurate data, and controlling for shifts in the structure of employment, would show the rise in the returns to unobserved characteristics took place in the 1980s as well.  And, the greatest growth in inequality among similarly educated workers is among college and graduate-educated workers, not among workers with high school or less education.

There are other problems with the skill-biased hypothesis.  One of them is that there is great variation between states in the amount of wage inequality within states, even though the same technology that drives skill demands affects all states.  Observing inequality within states over time, economists have noted that the decline of large manufacturing accounts for increases in overall wage inequality within states.  This is not consistent with the skill-biased hypothesis.[3]  Another is that returns to skills by race diverged during that period, which would be inconsistent if firms truly faced skills shortages that bid up the wages of skilled workers.[4]  It would also be difficult to explain the much higher use of skilled workers by foreign-owned companies operating in the U.S. than for domestic producers, and for the racial disparity in the skilled work forces between foreign-owned and domestic firms suggested by the patterns of employment in those sectors with high foreign direct investment in the U.S.[5] Economists have found the decline of unionization in the 1980s, and the effects of trade to be important in explaining the growth in overall wage inequality.  The importance of unions and labor market institutions are not consistent with the skill-biased hypothesis.[6]

Perhaps more of an issue is the break between productivity gains and wages.  During this recovery, productivity has continued to grow at its post-1995 rate, suggesting a return to its long-run trend.  Yet, median wage levels have not kept paced with inflation.  Fast productivity growth is a way to keep inflation in check, but also a way to improve the lifestyles of America’s workers.  Yet, noted economist Robert Gordon has found that only the wages of those in the very top ten percent of earnings have kept above productivity growth over the 1966-2001 period.  The redistribution of gains to the top explains the stagnation of those in the middle.[7]

During this recovery, wage inequality has continued to grow.  It has grown not because of an increase in the returns to education, because in the initial phases of the recovery, the wage premium of college educated workers fell, as they became the larger share of the long-term unemployed.[8]  Instead, it has been the continued expansion of inequality of earnings for workers who are similarly educated.  Apparently, an important source of the growth of that inequality is traced to declines in the inflation-adjusted value of the minimum wage.[9]

But, the other source is the redistribution of corporate income, from wages to capital income.  The latest data from the Bureau of Economic Analysis shows that the share of corporate-sector income going to wages is down to its lowest share in over 25 years, according to an analysis done by the Lawrence Mishel and Jared Bernstein at the Economic Policy Institute.[10]  They also point to new figures from the Congressional Budget Office showing an increased concentration of corporate capital income among America’s richest one percent.  The latest CBO figures show that almost 60 percent of capital income goes to the top one percent in the U.S. income distribution.

During this recovery, U.S. Census data show that income for those in the bottom twenty percent, those in the middle twenty percent and those in the top twenty percent have all fallen.  Yet, aggregate consumption has increased.  This anomaly has occurred, because the aggregate savings level of Americans has become negative, and household debt has risen dramatically.  But, a closer look at the data shows that those in the bottom twenty percent have in fact suffered from a drop in consumption.  Real wages for them have fallen, and because they are credit constrained, they have not borrowed to maintain consumption.  Those with middle incomes have apparently maintained consumption, with some modest borrowing, and some modest benefit from lower taxes.  The big gains in consumption have come from those at the top of the income distribution, where incomes in the highest ranges have gone up, and by borrowing, and from larger benefits from tax cuts.  The relative gains in consumption by those in the top twenty percent were more rapid than during the 1980s or 1990s recovery.  By 2005, the top twenty percent of the income distribution accounted for almost 40 percent of all consumption.  The bottom twenty percent consumed only 8.2 percent.[11]

Of course, this personal borrowing spree is not sustainable.  Household debt is growing at annual rate of almost 11 percent during this recovery, compared with a more modest growth of 3.7 percent in household net worth, leading to a very high household debt to asset ratio.[12]  This means that unless incomes rise to sustain consumption growth, instead of borrowing, the permanent incomes of Americans are falling.  That is, at some point, consumption must fall so households can balance their incomes.

Further, with the federal budget deficit, it means that the nation has been borrowing from the rest of the world at an astounding rate to fuel our consumption.  The current account deficit has mushroomed from about 4 percent of GDP in 2001 to 6.8 percent, as of the third quarter of 2006.  That is a significant claim on future U.S. income by foreign interests.

There are several important fiscal policy implications from these current trends.  The lower permanent incomes of Americans, particularly those in the bottom eighty percent of the income distribution, means they will face real constraints that will ill prepare them to take on added responsibilities, such as the current shifts away from employer-provided health care, and the changes in their household balance sheets toward increased risks resulting from current shifts away from employer defined-benefit retirement plans.

There are already implications from the shift of shared prosperity that ended in the 1970s.  The shift to rising incomes only at the highest ends of the income distribution has led to a significant drop in revenues for the Social Security system, despite continued growth in the economy, and an apparent return to long run productivity growth that was not anticipated in the early 1980s.  If the Social Security system were to return to receiving revenue on ninety percent of payroll, almost 40 percent of the projected shortfall in benefits could be accounted for.[13]

The shift in the nation’s income shares, toward a lower share of national income in the form of wage and salary means that tax revenues from earned income, as opposed to capital income, will need to be re-calibrated.  Continued heavy reliance on earned income as a source of revenue will mean that a rising burdens will be placed on earned income to pay off current federal obligations.  Yet, if the current trends to do not change, it will already be the case that wage earners will face lower permanent incomes than the earners anticipated.


[1] See for instance, Thomas Lemieux, “Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?” The American Economic Review, 96(Number 3, 2006): 461-498, David Card and John E. DiNardo, “Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles,” Journal of Labor Economics, 20 (Number 4, 2002): 733-783 and Daron Acemoglu, “Technical Change, Inequality, and the Labor Market,” Journal of Economic Literature, 40 (Number 1, 2002): 7-72.

[2] Chinhui Juhn, Kevin Murphy and Brooks Pierce, “Wage Inequality and the Rise in Returns to Skill,” Journal of Political Economy, 101 (Number 3, 1993): 410-442.

[3] J. Bradford Jensen and Andrew Bernard, “Understanding Increasing and Decreasing Wage Inequality,” NBER Working Paper 6571 (May 1998).

[4] Patrick L. Mason and William Darity, Jr., “Evidence on Discrimination in Employment: Codes of Color, Codes of Gender,” Journal of Economic Perspectives, 12 (Number 2, 1998): 63-90.

[5] Abera Gelan, Kaye Husbands Fealing and James Peoples, “Inward Foreign Direct Investment and Racial Employment Patterns in U.S. Manufacturing,” The American Economic Review, (Papers and Proceedings, forthcoming) [http://www.aeaweb.org/annual_mtg_papers/2007/0106_1015_2103.pdf]

[6] Richard Freeman, “How Much Has De-Unionization Contributed to the Rise in Male Earnings Inequality?” in Sheldon Danziger and Peter Gottschalk (eds.), Uneven Tides: Rising Income Inequality in America (Russell Sage Foundation: New York, 1993) and Lawrence Katz and Kevin Murphy, “Changes in Relative Wages, 1963-1987: Supply and Demand Factors,” Quarterly Journal of Economics, 107 (Number 1, 1992): 35-78.

[7] Ian Dew-Becker and Robert J. Gordon, “Where did the Productivity Growth Go? Inflation Dynamics and the Distribution of Income,” Presented at the 81st Meeting of the Brookings Panel on Economic Activity, September 8-9, 2005.

[8] Andrew Stettner and Sylvia Allegretto, “The Rising Stakes of Job Loss: Stubborn long-term joblessness amid falling unemployment rates,” EPI & NELP Briefing Paper (May 2005).

[9] John DiNardo, Nicole M. Fortin and Thomas Lemieux, “Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semi-parametric Approach,” Econometrica, 64 (Number 5, 1996): 1001-1044; William M. Rodgers, III, William E. Spriggs and Bruce W. Klein, “Do the skills of adults employed in minimum wage contour jobs explain why they get paid less?” Journal of Post Keynesian Economics, 27 (Number 1, 2004): 38-66.

[10] Lawrence Mishel and Jared Bernstein, “New data reveal unprecedented income inequality,” EPI Economic Snapshots (January 17, 2007).

[11] Jared Bernstein and Jason Furman, “A Tough Recovery by Any Measure: New Data Show Consumer Expenditures Lag for Low- and Middle-Income Families,” CBPP and EPI (November 28, 2006).  [http://www.epi.org/issuebriefs/230/ib230.pdf]

[12] Financial Markets Center, Household Financial Conditions: Q3 2006 (http://www.fmcenter.org/atf/cf/{DFBB2772-F5C5-4DFE-B310-D82A61944339}/HFC_dec06rev.pdf)

[13] Virginia P. Reno and Joni Lavery, “Options to Balance Social Security Funds Over the Next 75 Years,” NASI Social Security Brief No. 18 (February 2005). [http://www.nasi.org/usr_doc/SS_Brief_18.pdf]

 
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