This book cuts through the powerful mythology surrounding Los Angeles to reveal the causes of inequality in a city that has weathered rapid population change, economic restructuring, and fractious ethnic relations. The sources of disadvantage and the means of getting ahead differ greatly among the city's myriad ethnic groups. The demand for unskilled labor is stronger here than in other cities, allowing Los Angeles's large population of immigrant workers with little education to find work in light manufacturing and low-paid service jobs.

A less beneficial result of this trend is the increased marginalization of the city's low-skilled black workers, who do not enjoy the extended ethnic networks of many of the new immigrant groups and who must contend with persistent negative racial stereotypes.

Patterns of residential segregation are also more diffuse in Los Angeles, with many once-black neighborhoods now split evenly between blacks, Hispanics, Asians, and other minorities. Inequality in Los Angeles cannot be reduced to a simple black-white divide. Nonetheless, in this thoroughly multicultural city, race remains a crucial factor shaping economic fortunes.

LAWRENCE D. BOBO is professor of sociology and Afro-American studies at Harvard University.

MELVIN L. OLIVER is vice president of the Ford Foundation. He is responsible for overseeing the Asset Building and Community Development Program.

JAMES H. JOHNSON JR. is William Rand Kenan Jr. Distinguished Professor of Management, Sociology, and Public Policy and director of the  Urban Investment Strategies Center in the Kenan Institute in the Kenan-Flager Business School at the University of North Carolina at Chapel Hill.

ABEL VALENZUELA JR. is assistant professor of urban planning and Chicana/o studies at the University of California, Los Angeles. He is also associate director of the Center for the Study of Urban Poverty, Institute for Social Science Research.

CONTRIBUTORS:  Elisa Jayne Bienenstock, Camille Zubrinksi Charles, Walter C. Farrell Jr.,  Jennifer L. Glanville,  Elizabeth Gonzalez,  David M. Grant,  Tarry Hum, Devon Johnson,  Michael I. Lichter,  Julie E. Press,  Michael A. Stoll, Susan A. Suh,  Jennifer A. Stoloff.  

A Volume in the Multi-City Study of Urban Inequality

This volume documents metropolitan Boston's metamorphosis from a casualty of manufacturing decline in the 1970s to a paragon of the high-tech and service industries in the 1990s. The city's rebound has been part of a wider regional renaissance, as new commercial centers have sprung up outside the city limits. A stream of immigrants have flowed into the area, redrawing the map of ethnic relations in the city. While Boston's vaunted mind-based economy rewards the highly educated, many unskilled workers have also found opportunities servicing the city's growing health and education industries.

Boston's renaissance remains uneven, and the authors identify a variety of handicaps (low education, unstable employment, single parenthood) that still hold minorities back. Nonetheless this book presents Boston as a hopeful example of how America's older cities can reinvent themselves in the wake of suburbanization and deindustrialization.

BARRY BLUESTONE is the Russell B. and Andr`ee B. Stearns Trustee Professor of Political Economy and director of the Center for Urban and Regional Policy at Northeastern University.

MARY HUFF STEVENSON is associate professor of economics at the University of Massachusetts, Boston, and senior fellow at its McCormack Institute of Public Affairs.

A Volume in the Multi-City Study of Urban Inequality

Policy analysis has grown increasingly reliant on the random assignment experiment—a research method whereby participants are sorted by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies.

Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random assignment studies can be overcome by combining data from these studies with statistical methods from other research designs. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program’s intermediate outcomes (e.g., how closely patients in a drug study adhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly assign treatment to groups or clusters of individuals, but this technique raises different issues than do experiments that randomly assign individuals. Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study.

Learning More from Social Experiments represents a substantial leap forward in the analysis of social policies. By supplementing theory with applied research examples, this important new book makes the case for enhancing the scope and relevance of social research by combining randomized experiments with non-experimental statistical methods, and it serves as a useful guide for researchers who wish to do so.

HOWARD S. BLOOM is chief social scientist at MDRC.

CONTRIBUTORS: Johannes M. Bos, Lisa A. Gennetian, Carolyn J. Hill, Charles Michalopoulos, Pamela A. Morris, James A. Riccio.