"It is fortunate that a major feature of American social policy is a series of programs, often referred to as the safety net, that are designed to provide people with cash and other benefits when they fall on hard times—which they are more likely to do during a recession," write the authors of a new report on the response of the Temporary Assistance for Needy Families (TANF) program—the major federal welfare program that replaced Aid to Families with Dependent Children (AFDC) in 1996—to the Great Recession that lasted from December 2007 to June 2009.

In their report, "The Responsiveness of the Temporary Assistance for Needy Families Program during the Great Recession," Ron Haskins, Vicky Albert, and Kimberly Howard write that "All in all, we conclude that the American system of balancing work requirements and welfare benefits worked fairly well, even during the most severe recession since the Depression of the 1930s."

Their report is based on three studies: (1) an examination of the changes in the TANF rolls compared to changes in AFDC rolls during previous recessions, plus changes in TANF rolls in relation to rising unemployment state-by-state; (2) a review of data on single mothers' likelihood to receive TANF benefits during the 2001 and 2007 recessions, their receipt of other program benefits, and what actions single mothers took to deal with the recession; and (3) interviews with 44 directors of state TANF programs to determine their state's response.

"An important question" noted by the authors at the outset "is whether the response of the nation's safety net program in general and the TANF program in particular was commensurate with the challenge posed by the huge level of unemployment during and following the Great Recession."

Some Results of the TANF Study

Haskins, Albert, and Howard arrived at a number of conclusions from the TANF/AFDC study, including:

• TANF rolls increased more in the 2001 recession and the 2007 Great Recession than did AFDC during previous, pre-welfare reform (1996) recessions.
• The increase in TANF rolls was greater during the period of rising unemployment in each state, which did not coincide exactly with the dates of the Great Recession, than during the official recession period nationally.
• The "nation's safety net as a whole performed well during the Great Recession and prevented millions of people from falling into poverty."

"The nation experienced 51 different recessions and 51 different responses by the TANF program to the recession,” they write. "But the key point is that measuring the rise of the TANF caseload in response to the unique increase in unemployment in each state reveals TANF to have been more responsive to the recession."

Some Results of the Single Mothers Study

• Compared with the 1990 recession before welfare reform, "single mothers were less likely to receive benefits from the TANF program during the 2001 and 2007 recessions."
• Single mothers were more likely to receive other "safety net" help such as Unemployment Compensation, Supplemental Nutrition Assistance Program (formerly food stamps), Supplemental Security Income, the Earned Income Tax Credit, and child care, school lunch and breakfast, and other benefits for their children.
• In all the 1990, 2001, and 2007 recessions, "single mothers took action on their own" by finding jobs, living with family, and other ways to "weather the recession."
• Based on income, "poverty among single mothers and their children was lower during the Great Recession than during the recession of 1990."

Given the array of available benefits, the authors conclude that:

a mother with two children earning even as little as $11,000 per year could and still can escape poverty, as measured by income that includes non-cash benefits and tax credits, because of the generosity of these benefits. In our view, the combination of strong work requirements and generous work support benefits is a reasonable policy, despite the fact that fewer mothers receive TANF now than in the past.

Some Results of the TANF Directors Study

"Arguably the people who know the most about the goals and operation of state TANF programs and how the programs responded to the recession are the state TANF directors," write Haskins, Albert, and Howard. "They were, after all, the point persons for state TANF programs before and during the Great Recession. Interviews with TANF directors can provide an insider's view of the TANF issues that we have so far analyzed from the outside." Some of their conclusions from these interviews include:

• Most states did not struggle to pay for growing TANF rolls during the Great Recession.
• Most state directors considered their state's response to the recession "as adequate or better."
• The directors had suggestions for improving the TANF program, including having more flexibility in work participation rates, gaining access to the Contingency Fund, and placing greater emphasis on job training.

Some Policy Recommendations

Although the authors believe that the TANF program worked well, especially in conjunction with other safety net programs, they suggest some potential reforms:

• TANF allows vocational training to count toward states fulfilling their work requirement, but only a maximum of 30 percent of the work requirement can be fulfilled by TANF recipients in education or training. In times of high unemployment, Congress could raise the percentage limit from 30 to 40 or even 50 percent when unemployment reaches some specified level in the state, given that most experts believe the unemployed should expand their skills through job training during recessions.
• Congress should consider changing the 12-week limit on job search during periods of high unemployment to as much as six months, given that the average period of search before finding a job increases sharply during periods of high unemployment.

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As expected, the latest data from the Census Bureau’s 2009 American Community Survey (ACS) confirm that the worst U.S. economic downturn in decades exacerbated trends set in motion years before, by multiplying the ranks of America’s poor. Between 2007 and 2009, the national poverty rate rose from 13 percent to 14.3 percent, and the number of people below the poverty line jumped by 4.9 million. Yet because the economic impact of the Great Recession was highly uneven across the nation, the map of U.S. poverty shifted in important ways over the past couple of years, with implications for both national and local efforts to alleviate poverty.

An analysis of poverty in the nation’s 100 largest metro areas, based on recently released data from the 2009 American Community Survey, indicates that:

The number of poor people in large metro areas grew by 5.5 million from 1999 to 2009, and more than two-thirds of that growth occurred in suburbs.  By 2009, 1.6 million more poor lived in the suburbs of the nation’s largest metro areas compared to the cities.

Between 2007 and 2009, the poverty rate increased in 57 of the 100 largest metro areas, with the largest increases clustered in the Sun Belt.  Florida metro areas like Bradenton and Lakeland, and California metro areas like Bakersfield, Riverside-San Bernardino-Ontario, and Modesto, each experienced increases in their poverty rates of more than 3.5 percentage points.

Poverty increased by much greater margins in 2009 than 2008, with cities and suburbs experiencing comparable rates of growth in the recession’s second year.  Between 2008 and 2009, cities and suburbs gained 1.2 million poor people, together accounting for about two-thirds of the national increase in the poor population that year.

Several metro areas saw city poverty rates increase by more than 5 percentage points, while many suburban areas experienced increases of 2 to 4 percentage points between 2007 and 2009.  The city of Allentown, PA saw a 10.2 percentage-point increase in its poverty rate, followed by Chattanooga, TN with an increase of 8.0 percentage points.  Sun Belt metro areas were among those with the largest increases in suburban poverty, including Lakeland, FL and Riverside-San Bernardino-Ontario, CA.

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Two years after the country entered the Great Recession, there are signs the national economy has slowly begun to recover. Thus far recovery has meant the return of economic growth, but not the return of jobs. And just as some communities have felt the downturn more than others, recovery has not and will not be shared equally across the nation’s diverse metropolitan economies.

Within metropolitan areas, many communities continue to struggle with high unemployment and increasing economic and fiscal challenges, while at the same time poverty and the need for emergency and support services continue to rise. Even under the best case scenario of a sustained and robust recovery, cities and suburbs throughout the nation will be dealing with the social and economic aftermath of such a deep and lengthy recession for some time to come.

An analysis of unemployment, initial Unemployment Insurance claims, and receipt of Supplementary Nutritional Assistance Program (SNAP, formerly known as food stamps) benefits in urban and suburban communities over the course of the Great Recession reveals that:

• Between December 2007 and December 2009, city and suburban unemployment rates in large metro areas increased by roughly the same degree (5.1 versus 4.8 percentage points, respectively). By December 2009, the gap between city and suburban unemployment rates was one percentage point (10.3 percent versus 9.3 percent)—smaller than 24 months after the start of the first recession of the decade (1.7 percentage points) and the downturn in the early 1990s (2.2 percentage points).
  
  
• Western metro areas exhibited the greatest increases in city and suburban unemployment rates—5.8 and 5.6 percentage points—over the two-year period ending in December of 2009. Increases in unemployment rates tilted more toward primary cities in Northeastern metro areas (a 5.3 percentage-point increase versus 4.2 percentage points in the suburbs), while suburbs saw slightly larger increases in the South (5.0 versus 4.4 percentage points).
  
  
• Initial Unemployment Insurance (UI) claims increased considerably between December 2007 and December 2009 in urban and suburban areas alike. The largest increases in requests for UI occurred in the first year of the downturn—led by lower-density suburbs—with new claims beginning to taper off between December of 2008 and 2009.
  
  
• SNAP receipt increased steeply and steadily between January 2008 and July 2009 across both urban and suburban counties. Urban counties remain home to the largest number of SNAP recipients, though suburban counties saw enrollment increase at a slightly faster pace during the downturn—36.1 percent compared to 29.4 percent in urban counties.
  

Even as signs point to a tentative economic recovery for the nation, metropolitan areas throughout the country continue to struggle with high unemployment. Within these regions, the negative effects of this downturn—as measured by changes in unemployment and demand for safety net services—have been shared across cities and suburbs alike. Standardizing sub-state data collection and reporting across programs would better enable policymakers and services providers to effectively track indicators of recovery and need in the nation’s largest labor markets.

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Read the Related Report: Job Sprawl and the Suburbanization of Poverty »

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Unlike prime-age Americans, who have experienced declines in employment and labor force participation since the onset of the Great Recession, Americans past 60 have seen their employment and labor force participation rates increase.

In order to understand the contrasting labor force developments among the old, on the one hand, and the prime-aged, on the other, this paper develops and analyzes a new data file containing information on monthly labor force changes of adults interviewed in the Current Population Survey (CPS).

The paper documents notable differences among age groups with respect to the changes in labor force transition rates that have occurred over the past two decades. What is crucial for understanding the surprising strength of old-age labor force participation and employment are changes in labor force transition probabilities within and across age groups. The paper identifies several shifts that help account for the increase in old-age employment and labor force participation:

• Like workers in all age groups, workers in older groups saw a surge in monthly transitions from employment to unemployment in the Great Recession.
• Unlike workers in prime-age and younger groups, however, older workers also saw a sizeable decline in exits to nonparticipation during and after the recession. While the surge in exits from employment to unemployment tended to reduce the employment rates of all age groups, the drop in employment exits to nonparticipation among the aged tended to hold up labor force participation rates and employment rates among the elderly compared with the nonelderly. Among the elderly, but not the nonelderly, the exit rate from employment into nonparticipation fell more than the exit rate from employment into unemployment increased.
• The Great Recession and slow recovery from that recession made it harder for the unemployed to transition into employment. Exit rates from unemployment into employment fell sharply in all age groups, old and young.
• In contrast to unemployed workers in younger age groups, the unemployed in the oldest age groups also saw a drop in their exits to nonparticipation. Compared with the nonaged, this tended to help maintain the labor force participation rates of the old.
• Flows from out-of-the-labor-force status into employment have declined for most age groups, but they have declined the least or have actually increased modestly among older nonparticipants.

Some of the favorable trends seen in older age groups are likely to be explained, in part, by the substantial improvement in older Americans’ educational attainment. Better educated older people tend to have lower monthly flows from employment into unemployment and nonparticipation, and they have higher monthly flows from nonparticipant status into employment compared with less educated workers.

The policy implications of the paper are:

• A serious recession inflicts severe and immediate harm on workers and potential workers in all age groups, in the form of layoffs and depressed prospects for finding work.
• Unlike younger age groups, however, workers in older groups have high rates of voluntary exit from employment and the workforce, even when labor markets are strong. Consequently, reduced rates of voluntary exit from employment and the labor force can have an outsize impact on their employment and participation rates.
• The aged, as a whole, can therefore experience rising employment and participation rates even as a minority of aged workers suffer severe harm as a result of permanent job loss at an unexpectedly early age and exceptional difficulty finding a new job.
• Between 2001 and 2015, the old-age employment and participation rates rose, apparently signaling that older workers did not suffer severe harm in the Great Recession.
• Analysis of the gross flow data suggests, however, that the apparent improvements were the combined result of continued declines in age-specific voluntary exit rates, mostly from the ranks of the employed, and worsening reemployment rates among the unemployed. The older workers who suffered involuntary layoffs were more numerous than before the Great Recession, and they found it much harder to get reemployed than laid off workers in years before 2008. The turnover data show that it has proved much harder for these workers to recover from the loss of their late-career job loss.

Download "Labor Force Dynamics in the Great Recession and its Aftermath: Implications for Older Workers" »

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The weakness of the economic recovery in advanced economies raises questions about the ability of new technologies to drive growth. After all, in the years since the global financial crisis, consumers in advanced economies have adopted new technologies such as mobile Internet services, and companies have invested in big data and cloud computing. More than 1 billion smartphones have been sold around the world, making it one of the most rapidly adopted technologies ever. Yet nations such as the United States that lead the world in technology adoption are seeing only middling GDP growth and continue to struggle with high unemployment.

There are many reasons for the restrained expansion, not least of which is the severity of the recession, which wiped out trillions of dollars of wealth and more than 7 million US jobs. Relatively weak consumer demand since the end of the recession in 2009 has restrained hiring and there are also structural issues at play, including a growing mismatch between the increasingly technical needs of employers and the skills available in the labor force. And technology itself plays a role: companies continue to invest in labor-saving technologies that reduce demand for less-skilled workers.

So are we witnessing a failure of technology? Our answer is "no." Over the longer term, in fact, we see that technology continues to drive productivity and growth, a pattern that has been evident since the Industrial Revolution; steam power, mass-produced steel, and electricity drove successive waves of growth, which has continued into the 21st century with semiconductors and the Internet. Today, we see a dozen rapidly-evolving technology areas that have the potential for economic disruption as well in the next decade. They fall into four groups: IT and how we use it; machines that work for us; energy; and the building blocks of everything (next-gen genomics and synthetic biology).

Wide ranging impacts

These disruptive technologies not only have potential for economic impact—hundreds of billions per year and even trillions for the applications we have sized—but also are broad-based (affecting many people and industries) and have transformative effects: they can alter the status quo and create opportunities for new competitors.

While these technologies will contribute to productivity and growth, we must look at economic impact in a broader sense, which includes measures of surplus created and value shifted (for instance from producers to consumers, which has been a common result of Internet adoption). The greatest benefit we measured for autonomous vehicles—cars and trucks that can proceed from point A to point B with little or no human intervention. The largest economic impact we sized for autonomous vehicles is the enormous benefit to consumers that may be possible by reducing accidents caused by human error by 70 to 90 percent. That could translate into hundreds of billions a year in economic value by 2025.

Predicting how quickly even the most disruptive technologies will affect productivity is difficult. When the first commercial microprocessor appeared there was no such thing as a microcomputer—marketers at Intel thought traffic signal controllers might be a leading application for their chip. Today we see that social technologies, which have changed how people interact with friends and family and have provided new ways for marketers to connect with consumers, may have a much larger impact as a way to raise productivity in organizations by improving communication, knowledge-sharing, and collaboration.

There are also lags and displacements as new technologies are adopted and their effects on productivity are felt. Over the next decade, advances in robotics may make it possible to automate assembly jobs that require more dexterity than machines have provided or are assumed to be more economical to carry out with low-cost labor. Advances in artificial intelligence, big data, and user interfaces (e.g., computers that can interpret ordinary speech) make it possible to automate many knowledge worker tasks.

More good than bad

There are clearly challenges for societies and economies as disruptive technologies take hold, but the long-term effects, we believe, will continue to be higher productivity and growth across sectors and nations. In earlier work, for example, we looked at the relationship between productivity and employment, which are generally believed to be in conflict (i.e., when productivity rises, employment falls). And clearly, in the short term this can happen as employers find that they can substitute machinery for labor—especially if other innovations in the economy do not create demand for labor in other areas. However, if you look at the data for productivity and employment for longer periods—over decades, for example—you see that productivity and job growth do rise in tandem.

This does not mean that labor-saving technologies do not cause dislocations, but they also eventually create new opportunities. For example, the development of highly flexible and adaptable robots will require skilled workers on the shop floor who can program these machines and work out new routines as requirements change. And the same types of tools that can be used to automate knowledge worker tasks such as finding information can also be used to augment the powers of knowledge workers, potentially creating new types of jobs.

Over the next decade it will become clearer how these technologies will be used to raise productivity and growth. There will be surprises along the way—when mass-produced steel became practical in the 19th century nobody could predict how it would enable the automobile industry in the 20th. And there will be societal challenges that policy makers will need to address, for example by making sure that educational systems keep up with the demands of the new technologies.

For business leaders the emergence of disruptive technologies can open up great new possibilities and can also lead to new threats—disruptive technologies have a habit of creating new competitors and undermining old business models. Incumbents will want to ensure their organizations continue to look forward and think long-term. Leaders themselves will need to know how technologies work and see to it that tech- and IT-savvy employees are included in every function and every team. Businesses and other institutions will need new skill sets and cannot assume that the talent they need will be available in the labor market.

       

Unlike prime-age Americans, who have experienced declines in employment and labor force participation since the onset of the Great Recession, Americans past 60 have seen their employment and labor force participation rates increase.

In order to understand the contrasting labor force developments among the old, on the one hand, and the prime-aged, on the other, this paper develops and analyzes a new data file containing information on monthly labor force changes of adults interviewed in the Current Population Survey (CPS).

The paper documents notable differences among age groups with respect to the changes in labor force transition rates that have occurred over the past two decades. What is crucial for understanding the surprising strength of old-age labor force participation and employment are changes in labor force transition probabilities within and across age groups. The paper identifies several shifts that help account for the increase in old-age employment and labor force participation:

• Like workers in all age groups, workers in older groups saw a surge in monthly transitions from employment to unemployment in the Great Recession.
• Unlike workers in prime-age and younger groups, however, older workers also saw a sizeable decline in exits to nonparticipation during and after the recession. While the surge in exits from employment to unemployment tended to reduce the employment rates of all age groups, the drop in employment exits to nonparticipation among the aged tended to hold up labor force participation rates and employment rates among the elderly compared with the nonelderly. Among the elderly, but not the nonelderly, the exit rate from employment into nonparticipation fell more than the exit rate from employment into unemployment increased.
• The Great Recession and slow recovery from that recession made it harder for the unemployed to transition into employment. Exit rates from unemployment into employment fell sharply in all age groups, old and young.
• In contrast to unemployed workers in younger age groups, the unemployed in the oldest age groups also saw a drop in their exits to nonparticipation. Compared with the nonaged, this tended to help maintain the labor force participation rates of the old.
• Flows from out-of-the-labor-force status into employment have declined for most age groups, but they have declined the least or have actually increased modestly among older nonparticipants.

Some of the favorable trends seen in older age groups are likely to be explained, in part, by the substantial improvement in older Americans’ educational attainment. Better educated older people tend to have lower monthly flows from employment into unemployment and nonparticipation, and they have higher monthly flows from nonparticipant status into employment compared with less educated workers.

The policy implications of the paper are:

• A serious recession inflicts severe and immediate harm on workers and potential workers in all age groups, in the form of layoffs and depressed prospects for finding work.
• Unlike younger age groups, however, workers in older groups have high rates of voluntary exit from employment and the workforce, even when labor markets are strong. Consequently, reduced rates of voluntary exit from employment and the labor force can have an outsize impact on their employment and participation rates.
• The aged, as a whole, can therefore experience rising employment and participation rates even as a minority of aged workers suffer severe harm as a result of permanent job loss at an unexpectedly early age and exceptional difficulty finding a new job.
• Between 2001 and 2015, the old-age employment and participation rates rose, apparently signaling that older workers did not suffer severe harm in the Great Recession.
• Analysis of the gross flow data suggests, however, that the apparent improvements were the combined result of continued declines in age-specific voluntary exit rates, mostly from the ranks of the employed, and worsening reemployment rates among the unemployed. The older workers who suffered involuntary layoffs were more numerous than before the Great Recession, and they found it much harder to get reemployed than laid off workers in years before 2008. The turnover data show that it has proved much harder for these workers to recover from the loss of their late-career job loss.

Download "Labor Force Dynamics in the Great Recession and its Aftermath: Implications for Older Workers" »

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Leaders will head to the G-20 Summit in Los Cabos, Mexico, among renewed serious concern about the world economy. The turmoil that started with the U.S. subprime mortgage crisis has resulted in now almost five years of ongoing instability. The emerging market economies fared much better than the advanced economies and pulled out of the crisis already in 2009, but the slowdown we are now facing in 2012 is again global, demonstrating the interdependence in the world economy. The emerging market economies have stronger underlying trend growth rates, but they remain vulnerable to a downturn in the advanced economies. The center of concern is now squarely on Europe, with a recession threatening most European countries, even those that had reasonably good performances so far. After an encouraging start in 2012, the U.S. economy, while not close to a recession, is also showing signs of a slowdown rather than the hoped for steady acceleration of growth. And the slowdown is spreading across the globe.

At a time like this it would be desirable and necessary that the G-20 show real initiative and cohesion. The essays in this collection look at the challenge from various angles. There is concern that the G-20 is losing its sense of purpose, that cohesion is decreasing rather than increasing, and that policy initiatives are reactive to events rather than proactive. Let us hope that at this moment of great difficulty, the G-20 will succeed in giving the world economy a new sense of direction and confidence. It is much needed.

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