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Chronic homelessness is a highly complex social problem of national importance. The problem has elicited a variety of societal and public policy responses over the years, concomitant with fluctuations in the economy and changes in the demographics of and attitudes toward poor and disenfranchised citizens. In recent decades, federal agencies, nonprofit organizations, and the philanthropic community have worked hard to develop and implement programs to solve the challenges of homelessness, and progress has been made. However, much more remains to be done. Importantly, the results of various efforts, and especially the efforts to reduce homelessness among veterans in recent years, have shown that the problem of homelessness can be successfully addressed. Although a number of programs have been developed to meet the needs of persons experiencing homelessness, this report focuses on one particular type of intervention: permanent supportive housing (PSH). Permanent Supportive Housing focuses on the impact of PSH on health care outcomes and its cost-effectiveness. The report also addresses policy and program barriers that affect the ability to bring the PSH and other housing models to scale to address housing and health care needs.
A new way forward for sustainable quality of life in cities of all sizes Strong Towns: A Bottom-Up Revolution to Build American Prosperity is a book of forward-thinking ideas that breaks with modern wisdom to present a new vision of urban development in the United States. Presenting the foundational ideas of the Strong Towns movement he co-founded, Charles Marohn explains why cities of all sizes continue to struggle to meet their basic needs, and reveals the new paradigm that can solve this longstanding problem. Inside, you’ll learn why inducing growth and development has been the conventional response to urban financial struggles—and why it just doesn’t work. New development and high-risk investing don’t generate enough wealth to support itself, and cities continue to struggle. Read this book to find out how cities large and small can focus on bottom-up investments to minimize risk and maximize their ability to strengthen the community financially and improve citizens’ quality of life. Develop in-depth knowledge of the underlying logic behind the “traditional” search for never-ending urban growth Learn practical solutions for ameliorating financial struggles through low-risk investment and a grassroots focus Gain insights and tools that can stop the vicious cycle of budget shortfalls and unexpected downturns Become a part of the Strong Towns revolution by shifting the focus away from top-down growth toward rebuilding American prosperity Strong Towns acknowledges that there is a problem with the American approach to growth and shows community leaders a new way forward. The Strong Towns response is a revolution in how we assemble the places we live.
From Los Angeles to Boston and Chicago to Miami, US cities are struggling to address the twin crises of high housing costs and household instability. Debates over the appropriate course of action have been defined by two poles: building more housing or enacting stronger tenant protections. These options are often treated as mutually exclusive, with support for one implying opposition to the other. Shane Phillips believes that effectively tackling the housing crisis requires that cities support both tenant protections and housing abundance. He offers readers more than 50 policy recommendations, beginning with a set of principles and general recommendations that should apply to all housing policy. The remaining recommendations are organized by what he calls the Three S’s of Supply, Stability, and Subsidy. Phillips makes a moral and economic case for why each is essential and recommendations for making them work together. There is no single solution to the housing crisis—it will require a comprehensive approach backed by strong, diverse coalitions. The Affordable City is an essential tool for professionals and advocates working to improve affordability and increase community resilience through local action.
A half century after the Fair Housing Act, despite ongoing transformations of the geography of privilege and poverty, residential segregation by race and income continues to shape urban and suburban neighborhoods in the United States. Why do people live where they do? What explains segregation’s persistence? And why is addressing segregation so complicated? The Dream Revisited brings together a range of expert viewpoints on the causes and consequences of the nation’s separate and unequal living patterns. Leading scholars and practitioners, including civil rights advocates, affordable housing developers, elected officials, and fair housing lawyers, discuss the nature of and policy responses to residential segregation. Essays scrutinize the factors that sustain segregation, including persistent barriers to mobility and complex neighborhood preferences, and its consequences from health to home finance and from policing to politics. They debate how actively and in what ways the government should intervene in housing markets to foster integration. The book features timely analyses of issues such as school integration, mixed income housing, and responses to gentrification from a diversity of viewpoints. A probing examination of a deeply rooted problem, The Dream Revisited offers pressing insights into the changing face of urban inequality.
Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.