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Author:
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 35
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Book Description
Author:
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 35
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Book Description
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309477042
Category : Social Science
Languages : en
Pages : 227
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Book Description
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.
Author: Arthur C. Nelson
Publisher: Island Press
ISBN: 1610910842
Category : Architecture
Languages : en
Pages : 318
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Book Description
Impact fees are one-time charges that are applied to new residential developments by local governments that are seeking funds to pay for the construction or expansion of public facilities, such as water and sewer systems, schools, libraries, and parks and recreation facilities. In the face of taxpayer revolts against increases in property taxes, impact fees are used increasingly by local governments throughout the U.S. to finance construction or improvement of their infrastructure. Recent estimates suggest that 60 percent of all American cities with over 25,000 residents use some form of impact fees. In California, it is estimated that 90 percent of such cities impose impact fees. For more than thirty years, impact fees have been calculated based on proportionate share of the cost of the infrastructure improvements that are to be funded by the fees. However, neither laws nor courts have ensured that fees charged to new homes are themselves proportionate. For example, the impact fee may be the same for every home in a new development, even when homes vary widely in size and selling price. Data show, however, that smaller and less costly homes have fewer people living in them and thus less impact on facilities than larger homes. This use of a flat impact fee for all residential units disproportionately affects lower-income residents. The purpose of this guidebook is to help practitioners design impact fees that are equitable. It demonstrates exactly how a fair impact fee program can be designed and implemented. In addition, it includes information on the history of impact fees, discusses alternatives to impact fees, and summarizes state legislation that can infl uence the design of local fee programs. Case studies provide useful illustrations of successful programs. This book should be the first place that planning professionals, public officials, land use lawyers, developers, homebuilders, and citizen activists turn for help in crafting (or recrafting) proportionate-share impact fee programs.
Author: Harvard University. Department of Regional Planning
Publisher:
ISBN:
Category : Municipal government
Languages : en
Pages : 120
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Book Description
Author: Frank De Leeuw
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 78
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Author: Robyn K. Welch
Publisher:
ISBN:
Category :
Languages : en
Pages : 26
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Book Description
The research presented in this article is motivated by four questions: Do public service expenditures help explain interregional variation in the cost of housing? What types of spending make the most difference? How does the effect of these expenditures on housing values compare to their effect on rents? Finally, do these effects change over time? These questions are investigated through an econometric analysis of housing values and rents in a national data set of metropolitan counties. A two-equation model is estimated using seemingly unrelated regression to enable contemporaneous correlation across the error terms. The initial model, containing per household total direct spending, is used to develop coefficients that are restricted in subsequent models so that alternative service expenditures and different time lags can be tested while holding all else constant. The findings suggest that police protection makes the most difference for owners and renters alike, with education and fire protection, respectively, being close seconds. Homeowners place greater weight on expenditures that affect exchange value, while renters place greater weight on factors that affect use value; and certain services have a more enduring effect than others. This article adds to the existing body of knowledge by linking a broad spectrum of public goods and services to the place-to-place cost of housing. Future research should focus on the connections between intermediate and final outputs from an interregional perspective and, as an extension, how they relate to the pace of economic growth and other measures of regional well-being.
Author: Public Administration Service
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 56
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Book Description
Author:
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 416
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Book Description
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Housing policy
Languages : en
Pages : 32
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Book Description
