Housing Statistics
Title | Housing Statistics PDF eBook |
Author | |
Publisher | |
Pages | 782 |
Release | 1949 |
Genre | Construction industry |
ISBN |
Homelessness Is a Housing Problem
Title | Homelessness Is a Housing Problem PDF eBook |
Author | Gregg Colburn |
Publisher | Univ of California Press |
Pages | 283 |
Release | 2022-03-15 |
Genre | Social Science |
ISBN | 0520383796 |
Using rich and detailed data, this groundbreaking book explains why homelessness has become a crisis in America and reveals the structural conditions that underlie it. In Homelessness Is a Housing Problem, Gregg Colburn and Clayton Page Aldern seek to explain the substantial regional variation in rates of homelessness in cities across the United States. In a departure from many analytical approaches, Colburn and Aldern shift their focus from the individual experiencing homelessness to the metropolitan area. Using accessible statistical analysis, they test a range of conventional beliefs about what drives the prevalence of homelessness in a given city—including mental illness, drug use, poverty, weather, generosity of public assistance, and low-income mobility—and find that none explain the regional variation observed across the country. Instead, housing market conditions, such as the cost and availability of rental housing, offer a far more convincing account. With rigor and clarity, Homelessness Is a Housing Problem explores U.S. cities' diverse experiences with housing precarity and offers policy solutions for unique regional contexts.
Big Data for Twenty-First-Century Economic Statistics
Title | Big Data for Twenty-First-Century Economic Statistics PDF eBook |
Author | Katharine G. Abraham |
Publisher | University of Chicago Press |
Pages | 502 |
Release | 2022-03-11 |
Genre | Business & Economics |
ISBN | 022680125X |
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.
Selected Sources of Basic Housing Statistics Series for Use in a Local Housing Market Analysis, as of May 1948
Title | Selected Sources of Basic Housing Statistics Series for Use in a Local Housing Market Analysis, as of May 1948 PDF eBook |
Author | United States. Federal Housing Administration. Division of Research and Statistics. Survey and Analysis Section |
Publisher | |
Pages | 68 |
Release | 1948 |
Genre | |
ISBN |
Housing Statistics Handbook
Title | Housing Statistics Handbook PDF eBook |
Author | United States. National Housing Agency |
Publisher | |
Pages | 192 |
Release | 1948 |
Genre | Housing |
ISBN |
Housing Statistics Handbook
Title | Housing Statistics Handbook PDF eBook |
Author | United States. National Housing Agency |
Publisher | |
Pages | 188 |
Release | 1948 |
Genre | Housing |
ISBN |
Factfinder for the Nation
Title | Factfinder for the Nation PDF eBook |
Author | United States. Bureau of the Census |
Publisher | |
Pages | 4 |
Release | 1978 |
Genre | Housing |
ISBN |