Laura B Nolan
Datos Biográficos
| ID | 2134389 |
|---|---|
| NOMBRE | Laura B Nolan |
| NOMBRES | Laura B |
| APELLIDO | Nolan |
| FIRMA | NOLAN L B |
| AFILIACIONES | Ph.D. candidate, Office of Population Research Princeton University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 25 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2015 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2017 |
| ÍNDICE H | 2 |
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Long-Term Trends in Rural and Urban Poverty
Poverty has a strong relationship to geography in the United States. Previous research has found that rural areas have higher average poverty rates than urban areas, but the new supplemental poverty measure (SPM) has shown in recent years that urban areas have higher average poverty. In this article, we analyze poverty trends from 1967 to 2014 in rural and urban America, using the improved SPM metrics. We find a dramatic decline in poverty in rur…
Rural–Urban Child Height for Age Trajectories and Their Heterogeneous Determinants in Four Developing Countries
Slum Definitions in Urban India
Half the population of low- and middle-income countries will live in urban areas by 2030, and poverty and inequality in these contexts are rising. Slum-dwelling is one way in which to conceptualize and characterize urban deprivation, but there are many definitions of what constitutes a slum. This article presents four different slum definitions used in India, demonstrating that assessments of both the distribution and extent of urban deprivation …
Slum Definitions in Urban India
Half the population of low- and middle-income countries will live in urban areas by 2030, and poverty and inequality in these contexts are rising. Slum-dwelling is one way in which to conceptualize and characterize urban deprivation, but there are many definitions of what constitutes a slum. This article presents four different slum definitions used in India, demonstrating that assessments of both the distribution and extent of urban deprivation …
Long-Term Trends in Rural and Urban Poverty
Poverty has a strong relationship to geography in the United States. Previous research has found that rural areas have higher average poverty rates than urban areas, but the new supplemental poverty measure (SPM) has shown in recent years that urban areas have higher average poverty. In this article, we analyze poverty trends from 1967 to 2014 in rural and urban America, using the improved SPM metrics. We find a dramatic decline in poverty in rur…
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Rural–Urban Child Height for Age Trajectories and Their Heterogeneous Determinants in Four Developing Countries
Slum Definitions in Urban India
Half the population of low- and middle-income countries will live in urban areas by 2030, and poverty and inequality in these contexts are rising. Slum-dwelling is one way in which to conceptualize and characterize urban deprivation, but there are many definitions of what constitutes a slum. This article presents four different slum definitions used in India, demonstrating that assessments of both the distribution and extent of urban deprivation …
Rural–Urban Child Height for Age Trajectories and Their Heterogeneous Determinants in Four Developing Countries
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Long-Term Trends in Rural and Urban Poverty
Poverty has a strong relationship to geography in the United States. Previous research has found that rural areas have higher average poverty rates than urban areas, but the new supplemental poverty measure (SPM) has shown in recent years that urban areas have higher average poverty. In this article, we analyze poverty trends from 1967 to 2014 in rural and urban America, using the improved SPM metrics. We find a dramatic decline in poverty in rur…
Economic growth (3 obras) · Economics (3 obras) · Geography (3 obras) · Medicine (3 obras) · Poverty (3 obras) · Socioeconomics (3 obras) · Child Nutrition and Water Access (2 obras) · Environmental health (2 obras) · Inequality (2 obras) · Population (2 obras)