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Articles 1 - 12 of 12
Full-Text Articles in Public Affairs, Public Policy and Public Administration
Trends In Receipt Of Public Assistance And Poverty Status, 1970 – 2014, Justine Calcagno
Trends In Receipt Of Public Assistance And Poverty Status, 1970 – 2014, Justine Calcagno
Center for Latin American, Caribbean, and Latino Studies
Introduction: This report examines comparative trends in receipt of public assistance and poverty rates between 1970 and 2014.
Methods: This study uses the American Community Survey PUMS (Public Use Microdata Series) data for all years considered here released by the Census Bureau and reorganized for public use by the Minnesota Population Center, University of Minnesota, IPUMSusa. Receipt of public assistance is defined by receiving any amount of one’s income in the previous year from public assistance funds or not. Poverty status is defined by living below the federal poverty line in the previous year or not.
Results: There was an …
On White Guilt., Emma R. Okell
On White Guilt., Emma R. Okell
SURGE
I didn’t always realize what white guilt was, only that it existed. It’s not as cut-and-dry as it seems. It actually took me years to understand it, which is why I was not surprised when at the Town Hall Meeting back in January, one person asked a question about how to be an ally. Specifically, I found myself reflecting on her concerns regarding “white guilt” (44:01 – 45:25). I wanted to respond, but from the audience it felt out of place, and as it is, my response took two months of putting my thoughts together. [excerpt]
The Dmv Class Of 2016: Readiness Of Milwaukee 18-Year-Olds For Employment, Citizenship And Adulthood, Lois M. Quinn, John Pawasarat
The Dmv Class Of 2016: Readiness Of Milwaukee 18-Year-Olds For Employment, Citizenship And Adulthood, Lois M. Quinn, John Pawasarat
ETI Publications
The University of Wisconsin-Milwaukee Employment and Training Institute examined the driver’s license status of Wisconsin youth aged eighteen as of January 1, 2016, using license records from the Wisconsin Department of Transportation Division of Motor Vehicles. Only 30% of Milwaukee eighteen-year-olds had a driver’s license (probationary or regular), compared to more than twice that rate (66%) for eighteen-year-olds statewide. Stark differences were seen in Wisconsin driver’s licensing rates by race/ethnicity, neighborhood levels of child poverty, and zipcodes with concentrations of “working poor” families. Disparate licensing rates give suburban and exurban youth in the Milwaukee metropolitan area a head start over …
Research Brief On Eti Purchasing Power And Economic Drilldowns, John Pawasarat, Lois M. Quinn
Research Brief On Eti Purchasing Power And Economic Drilldowns, John Pawasarat, Lois M. Quinn
ETI Publications
To help identify the economic assets of central city neighborhoods and to further employment opportunities for city residents the University of Wisconsin-Milwaukee Employment and Training Institute prepared summary data on the workforce residing in and employed in each census tract, along with state-of-the-art purchasing power estimates of consumer expenditures and retail sales leakage/surplus by neighborhood. The ETI drill downs were designed to help determine the diversity of the workforce and to further economic development for underserved communities and for underutilized minority populations. Samples of ETI research reports using the drill downs are archived in the University of Wisconsin-Milwaukee Digital Commons …
The Cost Of Poverty: The Perpetuating Cycle Of Concentrated Poverty In New Jersey Cities • A Comprehensive Budgetary Analysis Of Four Urban New Jersey Municipalities, John S. Watson Institute For Public Policy Of Thomas Edison State University, New Jersey Urban Mayors Association, The Anti-Poverty Network Of New Jersey, Fund For New Jersey
The Cost Of Poverty: The Perpetuating Cycle Of Concentrated Poverty In New Jersey Cities • A Comprehensive Budgetary Analysis Of Four Urban New Jersey Municipalities, John S. Watson Institute For Public Policy Of Thomas Edison State University, New Jersey Urban Mayors Association, The Anti-Poverty Network Of New Jersey, Fund For New Jersey
Urban Mayors Policy Center
This report examines the problem of concentrated poverty in the State of New Jersey. Both the individual and the long-term economic consequences of concentrated poverty are well- documented in social science research. The report adds to that knowledge by examining the practical, budgetary consequences faced by urban centers that are characterized by high poverty levels. The report focuses on four cities, which are represented in the New Jersey Urban Mayors Association (NJUMA) — Bridgeton, Passaic, Perth Amboy, and Trenton. While these regions vary considerably, they all share one important fact: their poverty rates are double or triple the New Jersey …
Unpacking The Census: 5 Years Later, John V. Moeser
Unpacking The Census: 5 Years Later, John V. Moeser
Poverty in Metropolitan Richmond
Unpacking the Census: 5 Years Later
Dr. John V. Moeser
Senior Fellow, Bonner Center for Civic Engagement
University of Richmond
Professor Emeritus of Urban Studies and Planning, Virginia Commonwealth University
Taylor Holden
GIS Technician, Spatial Analysis Lab
University of Richmond
Olivia Mobayed
Senior Intern, Spatial Analysis Lab
University of Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. …
Poverty In Henrico County, Virginia: 1990 - 2014, John V. Moeser
Poverty In Henrico County, Virginia: 1990 - 2014, John V. Moeser
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. Slides reflect data from 1990-2014.
Poverty In Chesterfield County, Virginia: 1990 - 2014, John V. Moeser
Poverty In Chesterfield County, Virginia: 1990 - 2014, John V. Moeser
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. Slides reflect data from 1990-2014.
Poverty In Metropolitan Richmond - Overview, John V. Moeser
Poverty In Metropolitan Richmond - Overview, John V. Moeser
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. Slides reflect data from 1990-2014.
Poverty In Hanover County, Virginia: 1990 - 2014, John V. Moeser
Poverty In Hanover County, Virginia: 1990 - 2014, John V. Moeser
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. Slides reflect data from 1990-2014.
Poverty In Richmond, Virginia: 1990 - 2014, John V. Moeser
Poverty In Richmond, Virginia: 1990 - 2014, John V. Moeser
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey, 2010-2014, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. All slides about each of the localities include data about race. Slides reflect data from 1990-2014.
Food Insecurity And Housing Instability In Vulnerable Families, Christian King
Food Insecurity And Housing Instability In Vulnerable Families, Christian King
Department of Nutrition and Health Sciences: Faculty Publications
Reducing the prevalence of household food insecurity has been a long-standing objective of the federal government. Previous research has found many negative consequences of food insecurity for families and households but has not examined its relationship with housing instability. Using longitudinal data from the Fragile Families and Child Wellbeing Study, difference-in-difference models show that food insecurity is associated with housing instability. The association remains statistically significant after accounting for potential selection and unobserved heterogeneity using propensity score matching and excluding households that experienced prior housing instability from the sample. Examining potential mediating factors, I find that material hardship explains about …