The Impact of Housing Assistance on Child Outcomes: Evidence from a Randomized Housing Lottery *

2014 ◽  
Vol 130 (1) ◽  
pp. 465-506 ◽  
Author(s):  
Brian A. Jacob ◽  
Max Kapustin ◽  
Jens Ludwig

Abstract One long-standing motivation for low-income housing programs is the possibility that housing affordability and housing conditions generate externalities, including on children’s behavior and long-term life outcomes. We take advantage of a randomized housing voucher lottery in Chicago in 1997 to examine the long-term impact of housing assistance on a wide variety of child outcomes, including schooling, health, and criminal involvement. In contrast to most prior work focusing on families in public housing, we focus on families living in unsubsidized private housing at baseline, for whom voucher receipt generates large changes in both housing and nonhousing consumption. We find that the receipt of housing assistance has little, if any, impact on neighborhood or school quality or on a wide range of important child outcomes.

1988 ◽  
Vol 4 (1) ◽  
pp. 11-23 ◽  
Author(s):  
K. Tierney

There were a relatively small number of fatalities and casualties in the Whittier Narrows, but social disruption was extensive. An estimated 10,000 households and thousands of businesses were affected. The earthquake also resulted in an increase in the need for mental health services. Due both to extensive mitigation and preparedness programs and to the moderate size of the event, the emergency response was, in general, well-managed. Nevertheless, important insights were gained on potential weaknesses in areas such as communication co-ordination. The response by local residents was generally positive and adaptive, but the need for improved public awareness and training was also evident. The earthquake demonstrated the importance of ethnicity as a factor that influences the public's response to the earthquake hazard. Although the long-term impact of the earthquake on the Southern California will likely be imperceptable, some segments of the population, such as low-income earthquake victims and businesses that were marginal before the earthquake, my experience difficulty recovering. The impact of the earthquake on seismic safety programs in the affected communities is an important topic warranting further research.


2019 ◽  
Vol 3 ◽  
pp. 9 ◽  
Author(s):  
Derek W. Willis ◽  
Nick Hamon

Background: Progress in suppressing malaria over the next two decades may have a significant impact on poverty among agricultural households in sub-Saharan Africa. A recent study found that if malaria were eradicated by 2040, poverty rates among such households would fall by 4 to 26 percentage points more from 2018 to 2040 than if the burden of malaria remained at its current level. The relatively wide range of these estimates is due to a lack of evidence regarding the long-term impact of suppressing malaria on the incomes of agricultural households. The objective of this study is to describe a research framework that would generate the necessary evidence for developing more precise estimates. Methods: First, we developed a conceptual framework for understanding the potential long-term impact of suppressing malaria on the incomes of agricultural households. Next, we established a research framework for examining each component of the conceptual framework. Results: Our proposed research framework enables a comprehensive examination of how malaria affects the decisions, productivity, harvest value and expenditures due to morbidity and mortality within an agricultural household. This contrasts with the 27 existing relevant studies that we have identified, of which 23 focused only on household productivity and expenditures, two focused on decisions, and two focused on harvest values. Conclusion: By implementing the research framework presented in this study, we will increase our knowledge of how suppressing malaria over the next two decades would affect the incomes of agricultural households in sub-Saharan Africa. Evidence generated from the framework will inform funding allocation decisions for malaria elimination initiatives.


Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Yam Nath Paudel ◽  
Efthalia Angelopoulou ◽  
Bhupendra Raj Giri ◽  
Christina Piperi ◽  
Iekhsan Othman ◽  
...  

: COVID-19 has emerged as a devastating pandemic of the century that the current generations have ever experienced. The COVID-19 pandemic has infected more than 12 million people around the globe and 0.5 million people have succumbed to death. Due to the lack of effective vaccines against the COVID-19, several nations throughout the globe has imposed a lock-down as a preventive measure to lower the spread of COVID-19 infection. As a result of lock-down most of the universities and research institutes has witnessed a long pause in basic science research ever. Much has been talked about the long-term impact of COVID-19 in economy, tourism, public health, small and large-scale business of several kind. However, the long-term implication of these research lab shutdown and its impact in the basic science research has not been much focused. Herein, we provide a perspective that portrays a common problem of all the basic science researchers throughout the globe and its long-term consequences.


2020 ◽  
Vol 41 (S1) ◽  
pp. s258-s259
Author(s):  
James Harrigan ◽  
Ebbing Lautenbach ◽  
Emily Reesey ◽  
Magda Wernovsky ◽  
Pam Tolomeo ◽  
...  

Background: Clinically diagnosed ventilator-associated pneumonia (VAP) is common in the long-term acute-care hospital (LTACH) setting and may contribute to adverse ventilator-associated events (VAEs). Pseudomonas aeruginosa is a common causative organism of VAP. We evaluated the impact of respiratory P. aeruginosa colonization and bacterial community dominance, both diagnosed and undiagnosed, on subsequent P. aeruginosa VAP and VAE events during long-term acute care. Methods: We enrolled 83 patients on LTACH admission for ventilator weaning, performed longitudinal sampling of endotracheal aspirates followed by 16S rRNA gene sequencing (Illumina HiSeq), and bacterial community profiling (QIIME2). Statistical analysis was performed with R and Stan; mixed-effects models were fit to relate the abundance of respiratory Psa on admission to clinically diagnosed VAP and VAE events. Results: Of the 83 patients included, 12 were diagnosed with P. aeruginosa pneumonia during the 14 days prior to LTACH admission (known P. aeruginosa), and 22 additional patients received anti–P. aeruginosa antibiotics within 48 hours of admission (suspected P. aeruginosa); 49 patients had no known or suspected P. aeruginosa (unknown P. aeruginosa). Among the known P. aeruginosa group, all 12 patients had P. aeruginosa detectable by 16S sequencing, with elevated admission P. aeruginosa proportional abundance (median, 0.97; IQR, 0.33–1). Among the suspected P. aeruginosa group, all 22 patients had P. aeruginosa detectable by 16S sequencing, with a wide range of admission P. aeruginosa proportional abundance (median, 0.0088; IQR, 0.00012–0.31). Of the 49 patients in the unknown group, 47 also had detectable respiratory Psa, and many had high P. aeruginosa proportional abundance at admission (median, 0.014; IQR, 0.00025–0.52). Incident P. aeruginosa VAP was observed within 30 days in 4 of the known P. aeruginosa patients (33.3%), 5 of the suspected P. aeruginosa patients (22.7%), and 8 of the unknown P. aeruginosa patients (16.3%). VAE was observed within 30 days in 1 of the known P. aeruginosa patients (8.3%), 2 of the suspected P. aeruginosa patients (9.1%), and 1 of the unknown P. aeruginosa patients (2%). Admission P. aeruginosa abundance was positively associated with VAP and VAE risk in all groups, but the association only achieved statistical significance in the unknown group (type S error <0.002 for 30-day VAP and <0.011 for 30-day VAE). Conclusions: We identified a high prevalence of unrecognized respiratory P. aeruginosa colonization among patients admitted to LTACH for weaning from mechanical ventilation. The admission P. aeruginosa proportional abundance was strongly associated with increased risk of incident P. aeruginosa VAP among these patients.Funding: NoneDisclosures: None


2021 ◽  
pp. 089443932098413
Author(s):  
Carina Cornesse ◽  
Ines Schaurer

While online panels offer numerous advantages, they are often criticized for excluding the offline population. Therefore, some probability-based online panels have developed offline population inclusion strategies. Two dominant approaches prevail: providing internet equipment and offering an alternative survey participation mode. We investigate the impact of these approaches on two probability-based online panels in Germany: the German Internet Panel, which provides members of the offline population with internet equipment, and the GESIS Panel, which offers members of the offline population to participate via postal mail surveys. In addition, we explore the impact of offering an alternative mode only to non-internet users versus also offering the alternative mode to internet users who are unwilling to provide survey data online. Albeit lower recruitment and/or panel wave participation probabilities among offliners than onliners, we find that including the offline population has a positive long-term impact on sample accuracy in both panels. In the GESIS Panel, the positive impact is particularly strong when offering the alternative participation mode to non-internet users and internet users who are unwilling to provide survey data online.


2020 ◽  
Vol 20 (3) ◽  
pp. 317-351
Author(s):  
Scott Desposato ◽  
Gang Wang

AbstractDemocracy movements in authoritarian regimes usually fail and are repressed, but they may still affect attitudes and norms of participants and bystanders. We exploit several features of a student movement to test for enduring effects of social movements on democratic attitudes. College students were the core of the movement and had wide exposure to the ideas and activities of the movement, as well as the suppression of the movement. College-bound high school students had limited exposure to the movement and its activities. Time of college entry could in theory be manipulated and endogenous, so we also use birthdate as an exogenous instrument for enrollment year. Applying a fuzzy regression discontinuity, we test for the impact of exposure to the movement on long-term attitudes. We find significant attitudinal differences between those in college during the movement, and those who started college post-movement. These results are strongest for alumni of the four universities that were most connected to the movement.


2021 ◽  
pp. 003329412110051
Author(s):  
Rashmi Gupta ◽  
Jemima Jacob ◽  
Gaurav Bansal

Psychosocial stressors and social disadvantages contribute to inequalities in opportunities and outcomes. In the current paper, we use an epidemiological perspective and highlight the role stress plays on individuals by reviewing the outcomes of major stressors such as poverty and unemployment. We further analyzed the psychological and physical cost of these stressors and their long-term impact. We examined the role of universal basic income and closely looked at income experiments that were implemented in the past, in terms of their effectiveness in enhancing the community as well as individual outcomes and propose the UBI as a tool for alleviating the impact of these stressors. At a time when a major pandemic (e.g., COVID-19) threatens economic stability and health globally, we believe the UBI is relevant now, more than ever.


2021 ◽  
Vol 13 (2) ◽  
pp. 723
Author(s):  
Antti Kurvinen ◽  
Arto Saari ◽  
Juhani Heljo ◽  
Eero Nippala

It is widely agreed that dynamics of building stocks are relatively poorly known even if it is recognized to be an important research topic. Better understanding of building stock dynamics and future development is crucial, e.g., for sustainable management of the built environment as various analyses require long-term projections of building stock development. Recognizing the uncertainty in relation to long-term modeling, we propose a transparent calculation-based QuantiSTOCK model for modeling building stock development. Our approach not only provides a tangible tool for understanding development when selected assumptions are valid but also, most importantly, allows for studying the sensitivity of results to alternative developments of the key variables. Therefore, this relatively simple modeling approach provides fruitful grounds for understanding the impact of different key variables, which is needed to facilitate meaningful debate on different housing, land use, and environment-related policies. The QuantiSTOCK model may be extended in numerous ways and lays the groundwork for modeling the future developments of building stocks. The presented model may be used in a wide range of analyses ranging from assessing housing demand at the regional level to providing input for defining sustainable pathways towards climate targets. Due to the availability of high-quality data, the Finnish building stock provided a great test arena for the model development.


2015 ◽  
Vol 31 (2) ◽  
pp. 264-279 ◽  
Author(s):  
Anat Abramovich ◽  
Yahavit Loria

AbstractThe impact of an Education for Sustainability (EfS) course for science and technology junior high school teachers on the intentional and actual environmental behaviour of participants was studied by researching the EfS implementation of 13 science and technology teachers within their family, community, and work environment. The research was qualitative in nature, where science and technology teachers’ insights on the EfS course were determined by means of an open-ended questionnaire and intensive interviews. Results indicated that the course clearly influenced the vast majority of the participants, who claimed that their environmental awareness had increased and they were capable of acting responsibly. All participants acted in favour of the environment among family, community, and at work. Yet, 2 years later, implementation seemed to be undermined by various internal and external barriers, such as the unavailability of convenient resources, or resistance on the part of family. The study suggests that course designers must include reference to potential difficulties and barriers in order to circumvent future obstacles. In addition, the implementation of post-course support would encourage overcoming the gap between willingness to act and actual practice.


Author(s):  
Ali Kamyab ◽  
Steve Andrle ◽  
Dennis Kroeger ◽  
David S. Heyer

Many Minnesota counties are faced with the problem of high vehicle speeds through towns or resort areas that have significant pedestrian traffic. The impact of speed reduction strategies in high-pedestrian areas in rural counties of Minnesota was investigated. Speed data were collected at two selected study sites under their existing conditions ("no-treatment" or "before" condition) and after the proposed speed reduction strategies were installed. Second "after" data conditions were collected to study the short-term and long-term impact of the implemented strategies. The traffic-calming techniques employed at the Twin Lakes site consisted of removable pedestrian islands and pedestrian crossing signs. A dynamic variable message sign that sent a single-word message ("Slow") to motorists traveling over the speed limit was installed at the Bemidji site. The research study shows that the traffic-calming strategy deployed in Twin Lakes was effective in significantly reducing the mean speed and improving speed limit compliance in both the short term and long term. Despite proven effectiveness, the deployed speed reduction treatment in Bemidji Lake failed to lower the speed at the study site. The single-word message on the sign and the location of the sign, as well as a lack of initial enforcement, were the primary reasons for such failure.


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