Subsidized Housing, Emergency Shelters, and Homelessness: An Empirical Investigation Using Data from the 1990 Census

2002 ◽  
Vol 2 (1) ◽  
Author(s):  
Dirk W. Early ◽  
Edgar O. Olsen
Keyword(s):  
Empirical Investigation ◽  
Housing Prices ◽  
The United States ◽  
Sensitivity Analyses ◽  
Housing Assistance ◽  
Housing Projects ◽  
Policy Responses ◽  
Point Estimates ◽  
Using Data ◽  
Price Differences

Abstract This paper uses data on the only systematic count of the homeless throughout the United States to estimate the effect on the rate of homelessness of a wide variety of potentially important determinants, including several major policy responses to homelessness that have not been included in previous studies. It improves upon estimates of the effect of previously studied determinants by using measures that correspond more closely to underlying theoretical constructs, especially by accounting for geographical price differences. It also conducts numerous sensitivity analyses and analyzes the consequences of the undercount of the homeless for point estimates and hypothesis tests. The paper's most important finding from a policy perspective is that targeting the current budget authority for housing assistance on the poorest eligible households will essentially eliminate homelessness among those who apply for assistance. Achieving this goal promptly without concentrating the poorest households in housing projects and without spending more money requires vouchering out project-based assistance. The primary methodological finding of the paper is that the 1990 Decennial Census did not produce sufficiently accurate counts, especially of the street homeless, to permit very precise estimates of the effects of many factors which surely affect the rate of homelessness. The main exception is the price of housing. Other things equal, higher housing prices lead to more homelessness.

Dropping out of High School in the United States: An Observational Study

1986 ◽  
Vol 11 (3) ◽  
pp. 207-224 ◽  
Author(s):  
Paul R. Rosenbaum
Keyword(s):  
High School ◽  
High School Students ◽  
The United States ◽  
Analysis Of Covariance ◽  
Sensitivity Analyses ◽  
Matched Pair ◽  
Cognitive Achievement ◽  
Dropping Out ◽  
School Students ◽  
Using Data

Using data from a two-stage probability sample of U.S. high school students, an attempt is made to estimate the effect that dropping out has on cognitive achievement test scores. Each sampled dropout from a school is matched by a multivariate procedure to a student who remained in the same school. The matched pair differences are then adjusted using analysis of covariance. The possibility that important covariates have been omitted from the analysis is addressed through tests of ignorable treatment assignment and through sensitivity analyses.

Labor Demand Shocks and Housing Prices Across the United States: Does One Size Fit All?

2019 ◽  
Vol 33 (3) ◽  
pp. 212-219 ◽  
Author(s):  
Michael J. Osei ◽  
John V. Winters
Keyword(s):  
Housing Prices ◽  
Labor Demand ◽  
The United States ◽  
Demand Shocks ◽  
Metropolitan Statistical Areas ◽  
Positive Effects ◽  
Long Run ◽  
Time Periods ◽  
Total Labor ◽  
Using Data

This study examines whether effects of labor demand shocks on housing prices vary across time and space. Using data on 321 U.S. metropolitan statistical areas (MSAs), the authors estimate the medium- and long-run effects of increases in MSA-level employment and total labor income on housing prices. Instrumental variable estimates for different time periods, and also for coastal, noncoastal, large, and small metropolitan statistical areas, are obtained using the shift-share instrument. Results suggest that labor demand shocks have positive effects on housing prices; however, these effects appear to vary across time periods and across different types of MSAs.

Migration and the Internet

2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth
Keyword(s):  
United States ◽  
Information And Communication Technologies ◽  
Unobserved Heterogeneity ◽  
Panel Study ◽  
The United States ◽  
Negative Effect ◽  
Information And Communication ◽  
Using Data ◽  
And Migration ◽  
Dynamics Models

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.

scholarly journals Challenges in Bridge Health Monitoring: A Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4336
Author(s):  
Piervincenzo Rizzo ◽  
Alireza Enshaeian
Keyword(s):  
United States ◽  
Health Monitoring ◽  
Highway Bridges ◽  
The United States ◽  
Anomalous Behavior ◽  
Existing Structures ◽  
Bridge Health Monitoring ◽  
Using Data ◽  
The Many ◽  
Major Factors

Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health monitoring related to the detection of specific bridge characteristics that may be indicators of anomalous behavior. The methods used to detect loss of stiffness, time-dependent and temperature-dependent deformations, fatigue, corrosion, and scour are discussed. Owing to the extent of the existing scientific literature, this review focuses on systems installed in U.S. bridges over the last 20 years. These are all major factors that contribute to long-term degradation of bridges. Issues related to wireless sensor drifts are discussed as well. The scope of the paper is to help newcomers, practitioners, and researchers at navigating the many methodologies that have been proposed and developed in order to identify damage using data collected from sensors installed in real structures.

scholarly journals Assessing the Relationships Between COVID-19 Stay-at-Home Orders and Opioid Overdoses in the State of Pennsylvania

2021 ◽  
pp. 002204262110063
Author(s):  
Brian King ◽  
Ruchi Patel ◽  
Andrea Rishworth
Keyword(s):  
Age Groups ◽  
The United States ◽  
Opioid Use Disorder ◽  
Opioid Overdose ◽  
Policy Recommendations ◽  
Opioid Use ◽  
Fentanyl Analogs ◽  
Measure Change ◽  
Using Data ◽  
At Home

COVID-19 is compounding opioid use disorder throughout the United States. While recent commentaries provide useful policy recommendations, few studies examine the intersection of COVID-19 policy responses and patterns of opioid overdose. We examine opioid overdoses prior to and following the Pennsylvania stay-at-home order implemented on April 1, 2020. Using data from the Pennsylvania Overdose Information Network, we measure change in monthly incidents of opioid-related overdose pre- versus post-April 1, and the significance of change by gender, age, race, drug class, and naloxone doses administered. Findings demonstrate statistically significant increases in overdose incidents among both men and women, White and Black groups, and several age groups, most notably the 30–39 and 40–49 ranges, following April 1. Significant increases were observed for overdoses involving heroin, fentanyl, fentanyl analogs or other synthetic opioids, pharmaceutical opioids, and carfentanil. The study emphasizes the need for opioid use to be addressed alongside efforts to mitigate and manage COVID-19 infection.

A Behavioral-Analytic Model for Assessing Stress in Firefighters

2021 ◽  
pp. 014544552098613
Author(s):  
Bailee B. Schuhmann ◽  
Sarah N. Henderson ◽  
Ryan A. Black ◽  
Vincent B. Van Hasselt ◽  
Kristin Klimley Margres ◽  
...  
Keyword(s):  
Stress Reduction ◽  
Discriminant Validity ◽  
Stress Test ◽  
The United States ◽  
Fire Service ◽  
Analytic Model ◽  
Negative Effects ◽  
Internal Reliability ◽  
Convergent And Discriminant Validity ◽  
Using Data

Research has documented a number of acute and chronic stressors unique to the fire service. Due to the rise in mental health concerns in firefighters, there has been increased awareness of the negative effects of unmanaged stress. The present study employed a behavioral-analytic model to construct a brief screening measure of stress for this population: the Firefighter Assessment of Stress Test (FAST). Psychometric properties of the FAST were evaluated using data from active-duty firefighters throughout the United States. Results indicated the FAST has good internal reliability ( α = 0.89), as well as good convergent and discriminant validity. Also, the factor structure of the FAST revealed three significant subscales reflective of stress associated with responding to calls, administrative difficulties, and being overworked. Scoring and interpretation guidelines were established to suggest when further assessment is warranted. The FAST offers a brief and valid method of self-assessment of current stress levels in firefighters. Information obtained from the FAST (i.e., overall stress level and domains) has the potential to facilitate more immediate identification and recognition of stress in firefighters than what has been possible to date. Moreover, heightened awareness of stress and its effects will hopefully culminate in expanded efforts directed toward stress reduction and intervention for firefighters and their families.

Role Stress and Sense of Control Predict Using Food to Cope With Stress in Midlife Women

2021 ◽  
pp. 089826432110110
Author(s):  
Dana R. Riedy ◽  
Ashley MacPherson ◽  
Natalie D. Dautovich
Keyword(s):  
Work Stress ◽  
Underlying Mechanism ◽  
The United States ◽  
Role Stress ◽  
Work And Family ◽  
Midlife Women ◽  
Sense Of Control ◽  
Study Results ◽  
Using Data ◽  
Significant Mediator

Objective: The current study examined the association between role stress and using food to cope with stress in midlife women and examined sense of control as a potential underlying mechanism. Methods: An archival analysis was performed using data from 638 midlife women from the Midlife in the United States II study. Results: Hierarchical linear regression analyses demonstrated that work stress (β = .180, p < .001) and family stress (β = .138, p < .05) significantly predicted using food to cope with stress. Sense of control was a significant mediator between work stress and using food to cope with stress ( b = 0.02, 95% CI [.0014, .0314]). Discussion: Midlife women with higher role stress related to work and family are more likely to use food to cope with stress, and sense of control seems to be the link between work stress and using food to cope.

scholarly journals Firm Size and Employment during the Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312199260
Author(s):  
Ken-Hou Lin ◽  
Carolina Aragão ◽  
Guillermo Dominguez
Keyword(s):  
United States ◽  
Labor Market ◽  
Firm Size ◽  
The United States ◽  
Market Concentration ◽  
Job Security ◽  
Wage Premium ◽  
Small Enterprises ◽  
Policy Responses ◽  
Industrial Context

Previous studies have established that firm size is associated with a wage premium, but the wage premium has declined in recent decades. The authors examine the risk for unemployment by firm size during the initial outbreak of coronavirus disease 2019 in the United States. Using both yearly and state-month variation, the authors find greater excess unemployment among workers in small enterprises than among those in larger firms. The gaps cannot be entirely attributed to the sorting of workers or to industrial context. The firm size advantage is most pronounced in sectors with high remotability but reverses in the sectors most affected by the pandemic. Overall, these findings suggest that firm size is linked to greater job security and that the pandemic may have accelerated prior trends regarding product and labor market concentration. They also point out that the initial policy responses did not provide sufficient protection for workers in small and medium-sized businesses.

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