The Effects of Rhythmic Ensemble to Improve Social Skills of Children with Low Income Family

2009 ◽  
Vol 11 (1) ◽  
pp. 40-59
Author(s):  
김선하
Keyword(s):  
Social Skills ◽  
Low Income ◽  
Income Family

Social Insecurity: Children and Benefit Dynamics

2006 ◽  
Vol 35 (3) ◽  
pp. 391-410 ◽  
Author(s):  
LUCINDA PLATT
Keyword(s):  
Low Income ◽  
Group Differences ◽  
Unit Of Analysis ◽  
Quarterly Data ◽  
Income Family ◽  
Ethnic Group Differences ◽  
Comprehensive Picture ◽  
Social Insecurity ◽  
Housing Benefit ◽  
The Impact

This article uses administrative data to explore benefit dynamics for children in Britain's second largest city, Birmingham, over the period January 1998 to June 1999. As the benefits in question (housing benefit and council tax benefit) are means tested, the dynamics are also informative about moves in and out of low income. The article is original in its use of quarterly data to provide a comprehensive picture of benefit dynamics, in treating the child rather than the benefit claimant as the unit of analysis, and also in including ethnic group differences in its analysis of benefit exit and re-entry. It provides a picture of substantial ‘welfare dynamics’: that is, movements in and out of benefit support. Living in a low-income family in receipt of benefit can be seen to be a part, and sometimes a recurring part, of the experience of a large proportion of children. It argues that policy needs to investigate and take account of the impact of insecure income as well as poverty when considering the welfare of children.

Estimating the Earnings from Peer-to-Peer Carsharing for Vehicle Owners on the Turo Platform using Anonymized Data

2020 ◽  
Vol 2674 (9) ◽  
pp. 256-265
Author(s):  
Joseph P. Schwieterman ◽  
C. Scott Smith
Keyword(s):  
Low Income ◽  
Household Income ◽  
Marginal Cost ◽  
Rental Housing ◽  
Peer To Peer ◽  
Large Concentration ◽  
Minority Populations ◽  
Demographic Profiles ◽  
Income Family ◽  
Anonymized Data

Peer-to-peer carsharing, in which “hosts” (i.e., vehicle owners) make their vehicles available for a fee, has grown markedly in recent years. Little is known about how activity in this sector is distributed across communities with different socioeconomic or demographic profiles, or about the income it provides to hosts. To offer insights into these issues, this study evaluates anonymized data of trips made on Turo, one of the country's largest peer-to-peer carsharing platforms, in Illinois. It shows that usage is heaviest in higher-density neighborhoods with above-average unemployment and rental housing rates, with a particularly large concentration on Chicago's near north, south, and west sides, as well as zip codes with sizable minority populations. Most transactions are financially remunerative to hosts who would own their vehicle regardless of their decision to share. When maintenance and other expenses are taken into account (while nonmonetary costs such as the host's time are excluded), 94.9% of trips cover their marginal cost to the host. The returns from sharing sports utility vehicles (SUVs) tend to be higher than those for sedans and minivans. A low-income family making $40,000 annually will increase household income by 6% by sharing a vehicle 90 days annually.

scholarly journals Program theory within policy-initiated evaluations: the Norwegian low-income family study

2018 ◽  
Vol 15 (4) ◽  
pp. 337-350 ◽  
Author(s):  
Ira Malmberg-Heimonen ◽  
Anne Grete Tøge ◽  
Knut Fossestøl
Keyword(s):  
Low Income ◽  
Family Study ◽  
Program Theory ◽  
Income Family
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