Means-Tested Transfer Programs in the United States

Means-Tested Transfer Programs in the United States

Author: Robert A. Moffitt

Publisher: University of Chicago Press

Published: 2007-11-01

Total Pages: 655

ISBN-13: 0226533573

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Few United States government programs are as controversial as those designed to aid the poor. From tax credits to medical assistance, aid to needy families is surrounded by debate—on what benefits should be offered, what forms they should take, and how they should be administered. The past few decades, in fact, have seen this debate lead to broad transformations of aid programs themselves, with Aid to Families with Dependent Children replaced by Temporary Assistance to Needy Families, the Earned Income Tax Credit growing from a minor program to one of the most important for low-income families, and Medicaid greatly expanding its eligibility. This volume provides a remarkable overview of how such programs actually work, offering an impressive wealth of information on the nation's nine largest "means-tested" programs—that is, those in which some test of income forms the basis for participation. For each program, contributors describe origins and goals, summarize policy histories and current rules, and discuss the recipient's characteristics as well as the different types of benefits they receive. Each chapter then provides an overview of scholarly research on each program, bringing together the results of the field's most rigorous statistical examinations. The result is a fascinating portrayal of the evolution and current state of means-tested programs, one that charts a number of shifts in emphasis—the decline of cash assistance, for instance, and the increasing emphasis on work. This exemplary portrait of the nation's safety net will be an invaluable reference for anyone interested in American social policy.


Experimental Evaluation Design for Program Improvement

Experimental Evaluation Design for Program Improvement

Author: Laura R. Peck

Publisher: SAGE Publications

Published: 2019-09-12

Total Pages: 118

ISBN-13: 1506390048

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The concepts of cause and effect are critical to the field of program evaluation. Experimentally-designed evaluations—those that randomize to treatment and control groups—offer a convincing means for establishing a causal connection between a program and its effects. Experimental Evaluation Design for Program Improvement considers a range of impact evaluation questions, particularly those questions that focus on the impact of specific aspects of a program. Laura R. Peck shows how a variety of experimental evaluation design options can provide answers to these questions, and she suggests opportunities for experiments to be applied in more varied settings and focused on program improvement efforts.


Social Experiments in Practice: The What, Why, When, Where, and How of Experimental Design and Analysis

Social Experiments in Practice: The What, Why, When, Where, and How of Experimental Design and Analysis

Author: Laura R. Peck

Publisher: John Wiley & Sons

Published: 2017-01-10

Total Pages: 141

ISBN-13: 1119349044

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This issue considers social experiments in practice and how recent advances improve their value and potential applications. Although controversial, it is clear they are here to stay and are in fact increasing. With their greater abundance, experimental evaluations have stretched to address more diverse policy questions, no longer simply providing a treatment–control contrast but adding multiarm, multistage, and multidimensional (factorial) designs and analytic extensions to expose more about what works best for whom. Social experiments are also putting programs under the microscope when they are most ready for testing, enhancing the policy value of their findings. This volume provides new developments in all these areas from scholars instrumental to recent scientific advances. In some instances, established ideas are given new attention, connecting them to new opportunities to learn and inform policy. By all means, this issue aims to encourage stronger and more informative social experiments in the future. This is the 152nd issue in the New Directions for Evaluation series from Jossey-Bass. It is an official publication of the American Evaluation Association.


Fighting for Reliable Evidence

Fighting for Reliable Evidence

Author: Judith M. Gueron

Publisher: Russell Sage Foundation

Published: 2013-06-30

Total Pages: 594

ISBN-13: 1610448138

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Once primarily used in medical clinical trials, random assignment experimentation is now accepted among social scientists across a broad range of disciplines. The technique has been used in social experiments to evaluate a variety of programs, from microfinance and welfare reform to housing vouchers and teaching methods. How did randomized experiments move beyond medicine and into the social sciences, and can they be used effectively to evaluate complex social problems? Fighting for Reliable Evidence provides an absorbing historical account of the characters and controversies that have propelled the wider use of random assignment in social policy research over the past forty years. Drawing from their extensive experience evaluating welfare reform programs, noted scholar practitioners Judith M. Gueron and Howard Rolston portray randomized experiments as a vital research tool to assess the impact of social policy. In a random assignment experiment, participants are sorted into either a treatment group that participates in a particular program, or a control group that does not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any subsequent differences between the groups can be attributed to the influence of the program or policy. The theory is elegant and persuasive, but many scholars worry that such an experiment is too difficult or expensive to implement in the real world. Can a control group be truly insulated from the treatment policy? Would staffers comply with the random allocation of participants? Would the findings matter? Fighting for Reliable Evidence recounts the experiments that helped answer these questions, starting with the income maintenance experiments and the Supported Work project in the 1960s and 1970s. Gueron and Rolston argue that a crucial turning point came during the 1980s, when Congress allowed states to experiment with welfare programs and foundations, states, and the federal government funded larger randomized trials to assess the impact of these reforms. As they trace these historical shifts, Gueron and Rolston discuss the ways that strategies for resolving theoretical and practical problems were developed, and they highlight the strict conditions required to execute a randomized experiment successfully. What emerges is a nuanced portrait of the potential and limitations of social experiments to advance empirical knowledge. Weaving history, data analysis and personal experience, Fighting for Reliable Evidence offers valuable lessons for researchers, policymakers, funders, and informed citizens interested in isolating the effect of policy initiatives. It is an essential primer on welfare policy, causal inference, and experimental designs.


Learning More from Social Experiments

Learning More from Social Experiments

Author: Howard S. Bloom

Publisher: Russell Sage Foundation

Published: 2005-06-10

Total Pages: 259

ISBN-13: 1610440692

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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.


Social Experimentation, Program Evaluation, and Public Policy

Social Experimentation, Program Evaluation, and Public Policy

Author: Maureen A. Pirog

Publisher: John Wiley & Sons

Published: 2009-04-27

Total Pages: 539

ISBN-13: 1444307401

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This volume provides a single collection some of the best articles on social experimentation and program evaluation that have appeared in the Journal of Policy Analysis and Management (JPAM). Provides exposure to a variety of well-executed social experiments and evaluations for evidence-based public policy Examines the theory and conduct of evaluations and social experiments as they relate to their practical implementation in evidence-based policy making Provides exposure to the fundamental issues surrounding the conduct of evaluations as well as to the relative merits of social experiments and the ethics and use of evaluations


OECD Employment Outlook 2005

OECD Employment Outlook 2005

Author: OECD

Publisher: OECD Publishing

Published: 2005-07-06

Total Pages: 279

ISBN-13: 9264010467

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Presents OECD's latest review of labour market trends and issues and includes articles on trade adjustment costs, in-work benefits, evaluation of labour market programmes, and public employment services.


Evaluation for the Real World

Evaluation for the Real World

Author: Palfrey, Colin

Publisher: Policy Press

Published: 2012-06-13

Total Pages: 156

ISBN-13: 144730845X

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Evaluation research findings should be a key element of the policy-making process, yet in reality they are often disregarded. This valuable book examines the development of evaluation and its impact on public policy by analysing evaluation frameworks and criteria which are available when evaluating public policies and services. It further examines the nature of evidence and its use and non-use by decision-makers and assesses the work of influential academics in the USA and UK in the context of evaluation and policy making. The book emphasises the 'real world' of decision-makers in the public sector and recognises how political demands and economic pressures can affect the decisions of those who commission evaluation research while providing recommendations for policymakers on adopting a different approach to evaluation. This is essential reading for under-graduate and post-graduate students of policy analysis and public sector management, and those who are involved in the planning and evaluation of public policies and services.