Examining the Impact of Moving from Renter-occupied Housing to Owner-occupied Housing on Early Educational Outcomes

Examining the Impact of Moving from Renter-occupied Housing to Owner-occupied Housing on Early Educational Outcomes
Author: Amanda Wahlig
Publisher:
Total Pages:
Release: 2008
Genre:
ISBN:

With increasing demands for schools to produce high test scores, understanding what influences children's success is of great importance. While stability has been shown to be a key indicator of children's academic performance, specific mechanisms of stability are unclear. Existing research indicates that housing tenure itself influences children's school performance, but these studies have used static, rather than dynamic measures of home ownership status. This paper builds on this research by examining the effect of housing tenure change from rented to owner-occupied housing on the school performance of early elementary-aged children. Using data from the Early Childhood Longitudinal Study, the results reveal that changing housing tenure during first to third grade is a statistically significant predictor of children's achievement test scores in math, although not reading. While additional research is needed, this finding provides modest evidence of the promise of programs designed to help homeownership, particularly among families with young children, to also enhance children's academic success.

Housing Affordability and Availability

Housing Affordability and Availability
Author: United States. Congress. House. Committee on Financial Services. Subcommittee on Housing and Community Opportunity
Publisher:
Total Pages: 628
Release: 2001
Genre: Political Science
ISBN:

CPB Report

CPB Report
Author:
Publisher:
Total Pages: 304
Release: 2000
Genre: Economic forecasting
ISBN:

Living Labs

Living Labs
Author: David V. Keyson
Publisher: Springer
Total Pages: 396
Release: 2016-09-28
Genre: Technology & Engineering
ISBN: 3319335278

This book presents the results of a multi-annual project with sustainable Living Labs in the United Kingdom, Sweden, Germany and the Netherlands. Living Labs – as initiated by the authors – have proved to be very promising research, design, co-creation and communication facilities for the development and implementation of sustainable innovations in the home. The book provides an inspiring introduction to both the methodology and business modelling for the Living Lab facilities. Understanding daily living at home is key to designing products and services that support households in their transition to more sustainable lifestyles. This book not only explores new ways of gaining insights into daily practices, but also discusses developing and testing design methods to create sustainable solutions for households. These new methods and tools are needed because those available are either ineffective or cause rebound-effects. Intended for researchers and designers with an interest in the transition to sustainable lifestyles, it also appeals to company leaders interested in new ways of developing sustainable innovations and offers suggestions for effectively applying Living Labs for sustainable urban development.

Housing Boom and Headline Inflation: Insights from Machine Learning

Housing Boom and Headline Inflation: Insights from Machine Learning
Author: Yang Liu
Publisher: International Monetary Fund
Total Pages: 45
Release: 2022-07-28
Genre: Business & Economics
ISBN:

Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-rising house prices. We then apply machine learning methods to forecast inflation in two housing components (rent and owner-occupied housing cost) of the headline inflation and draw tentative inferences about inflationary impact. Our results suggest that for most of these countries, the housing components could have a relatively large and sustained contribution to headline inflation, as inflation is just starting to reflect the higher house prices. Methodologically, for the vast majority of countries we analyze, machine-learning models outperform the VAR model, suggesting some potential value for incorporating such models into inflation forecasting.

Do Better Neighborhoods for MTO Families Mean Better Schools?

Do Better Neighborhoods for MTO Families Mean Better Schools?
Author: Kadija S. Ferryman
Publisher:
Total Pages: 12
Release: 2008
Genre:
ISBN:

For roughly half a century, policymakers and researchers have debated the impacts of place, and in particular of inner-city neighborhoods, on employment, education, and mental and physical health. Research on programs that help people move to better neighborhoods has suggested that such programs can improve the life chances of low-income, mostly minority adults and their children. One important way children might benefit is by having access to better schools. The U.S. Department of Housing and Urban Development (HUD) launched the Moving to Opportunity for Fair Housing Demonstration (MTO) in 1994 in five cities to try to improve the life chances of very poor families by helping them leave the disadvantaged environments that contribute to poor outcomes in education and employment. The demonstration targeted families living in some of the nation's poorest, highest crime communities (distressed public housing) and used housing subsidies to offer them a chance to move to lower poverty neighborhoods. The hope was that moving would provide these families with access to better schools, city services (police, parks, libraries, sanitation) and economic opportunities. Participation in MTO was voluntary. Those who volunteered were randomly assigned to one of three treatment groups: a control group, a comparison group, or an experimental group. MTO focused on moving families into better neighborhoods and was not specifically targeted at improving educational outcomes. However, based on the findings from a housing desegregation program, MTO program designers expected that if families moved to low poverty communities, children could have access to better, more resource-rich schools with more advantaged peers, and that this access might lead to the children working harder and achieving more. On the other hand, children who moved to new neighborhoods and schools might respond negatively to competition from more advantaged peers, or teachers might single out the newcomers for sanctions. Two early studies of families in the Baltimore and Boston sites one to three years after random assignment showed promising results for experimental movers, especially significant improvements in school quality. In Baltimore, there was also evidence of positive impacts on reading and math scores. Follow-up research on the entire sample of MTO families at all five sites was conducted in 2002, about five years after the MTO families moved. Contrary to expectations, the results from the interim follow-up showed that children in the MTO experimental group were, in fact, doing no better academically than children in the other treatment groups. In addition, there were only limited improvements in school quality across the five sites. These findings have led researchers to conclude that MTO failed to provide experimental-group participants with real access to high performing schools and without access to better schools, there is less reason to think that MTO might affect children's educational performance. The mostly qualitative Three-City Study of MTO, a large-scale, mixed-method study, was designed to examine key puzzles raised by the interim evaluation, including the lack of effects on children's educational outcomes. The study combined qualitative interviews, ethnographic fieldwork, and analysis of census and administrative data. It was conducted in three of the five MTO sites: the interviews and ethnographic fieldwork took place in 2004 and 2005, 6 to 10 years after families' initial placement through the MTO program. This brief uses data from the Three-City Study to explore factors that seem to have kept MTO participants, who succeeded in moving to safer, less poor neighborhoods, from accessing better schools. Analysis suggests both the potential and the limits of a relocation-only strategy to affect educational options and outcomes for disadvantaged children. (Contains 5 endnotes.) [This report was produced by the Urban Institute's Center on Metropolitan Housing and Communities.].